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Hi, we're Oscar. We're hiring a Senior Director, Member and Provider Services to join our team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Director, Member and Provider Services leads the strategy, performance, and future readiness of Tier 1 and Tier 2 contact center operations across Member, Broker, and Provider channels. Overseeing the end-to-end operating model for distributed remote teams, you will integrate modern technology with human-centered service to achieve high access, accuracy, quality, and resolution. By leveraging deep operational expertise, data, and strategic partnerships, the Senior Director, Member and Provider Services mentors leaders, builds an inclusive culture of accountability, and scales the organization for long-term growth. You will report into the Vice President, Member & Provider Programs. Work Location: This position is fully remote and open to candidates residing in the U.S., excluding Alaska; Delaware; Hawaii; Louisiana; Montana; North Dakota; Oklahoma; West Virginia; Wyoming; and U.S. Territories. Daily work is completed from your home office, with occasional travel required for team meetings and company events. #LI-Remote Pay Transparency: The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $180,504 - $236,912 per year. The base pay for this role in all other locations is: $162,454 - $213,220 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: Direct end-to-end Tier 1 and Tier 2 contact center operations across voice and digital channels for Members, Brokers, and Providers. Execute a multi-year strategy to scale service operations, build resilience, and future-proof contact center operations against regulatory and business shifts. Lead a geographically distributed leadership organization, fostering an inclusive, high-accountability remote culture focused on team development and retention. Champion a human-centered service model that pairs automation, analytics, and workflow design with expert human support for complex customer needs. Establish performance frameworks to maximize outcomes across SLAs, quality, accuracy, first-contact resolution, customer effort, and unit cost. Leverage contact center analytics and customer journey trends to mitigate operational risk, prioritize initiatives, and achieve measurable results. Collaborate with internal and external partners to design scalable, compliant processes that meet evolving stakeholder and regulatory requirements. Drive workforce management and capacity planning to handle demand volatility and growth while safeguarding operational and financial targets. Influence enterprise technology roadmaps, policies, and cross-functional processes to continuously elevate the Member, Broker, and Provider experience. Cultivate leadership talent through active coaching, deliberate career pathing, and succession planning across frontline and management tiers. Oversee short- and long-term operating budgets, balancing strategic growth investments with fiscal discipline and efficiency. Ensure strict adherence to financial controls, regulatory mandates, operational timeliness, and compliance standards. Compliance with all applicable laws and regulations Other duties as assigned Requirements: 12+ years of experience leading large-scale, high-volume contact center or customer operations, including accountability for multi-channel service delivery and business performance. 8+ years leading leaders and coaching and developing teams in complex, performance-driven operations. Experience leading contact center operations and building high-engagement, high-accountability cultures across remote or geographically distributed teams. Demonstrated success delivering superior contact center performance across service level, accessibility, quality, accuracy, resolution, productivity, and cost. Proven ability to translate data, customer insights, technology capabilities, and workforce needs into strategic operating plans and scalable improvements. Strong executive presence and ability to influence cross-functional leaders, external partners, and enterprise decisions without direct authority. Bonus points: 4+ years of healthcare, health insurance, or other regulated high-volume service-operations experience; Member and/or Provider Services experience strongly preferred. Bachelor's degree in business, healthcare administration, operations, or a related field; advanced degree preferred. Experience leading large-scale remote or hybrid contact centers and using workforce management, quality, knowledge, and customer-experience systems. Experience shaping a contact center technology strategy, including CRM, cloud contact center, automation, analytics, and AI-enabled service capabilities. Operational Excellence certification (Lean Six Sigma, COPC, or similar) and a continuous-improvement mindset. Advanced analytical and data-visualization capabilities, including proficiency with tools such as Tableau, Looker, or similar platforms. This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking a business development lead to own Anthropic's BD partnership footprint with a small number of the world's largest and most consequential technology companies. These are not single-threaded accounts. Each relationship spans many businesses at once — consumer products, devices and operating systems, productivity and collaboration software, cloud and developer platforms, commerce, and enterprise distribution. Your job is to see the whole board, decide where Anthropic should lean in and where it shouldn't, and turn that judgment into signed deals. The center of gravity for this role is product and distribution partnerships: co-developing opportunities with partners, and structuring the commercial, technical, and go-to-market terms that make those partnerships durable. You'll typically be running several deal streams inside the same partner in parallel — at different stages, with different counterparts, and with terms that interact with one another — and you'll be the person responsible for keeping them coherent. This is an individual contributor role for a seasoned dealmaker who is comfortable as the primary counterpart to senior executives at very large companies, who brings strong judgment to ambiguous, high-stakes situations, and who can carry a complex, multi-party negotiation from first conversation through signature and into execution. Key responsibilities Manage a small number of large, multi-faceted partner relationships end to end: set the strategy for each relationship, decide which opportunities to pursue and in what order, and stay accountable for the overall health and commercial output of the partnership across every surface it touches Lead product partnerships: identify and structure opportunities to embed Claude in partners' consumer and enterprise products, co-develop new products and features, and define the product, technical, data, and brand terms that come with them, working closely with Anthropic's product and engineering leaders Run multiple deal streams in parallel: manage several concurrent negotiations within the same partner — product integrations, distribution and go-to-market, commercial and consumption agreements, and infrastructure — and sequence and connect them so terms in one stream reinforce rather than undercut the others Negotiate complex, first-of-kind agreements: lead end-to-end negotiations involving novel commercial structures, revenue and economics sharing, product and roadmap commitments, exclusivity and competitive provisions, data terms, and multi-year, multi-component value exchanges Act as an executive counterpart: build and manage relationships with senior executives and their teams on the partner side, serve as Anthropic's primary voice into the partnership, and prepare and steer Anthropic's own executives through partner-level engagements Exercise judgment on behalf of Anthropic: weigh commercial upside against strategic, competitive, product, and mission considerations; know when to say no; and make clear, well-reasoned recommendations to Anthropic leadership on trade-offs that don't have a playbook Drive cross-functional execution: coordinate Product, Engineering, Sales, Marketing, Finance, Legal, and Policy across the life of a partnership, from initial structuring through negotiation, launch, and ongoing governance, ensuring what we sign is something Anthropic can deliver Minimum qualifications Direct experience owning a large, multi-business partner relationship, where you were responsible for the whole relationship rather than a single deal or product line Track record of structuring and closing product partnerships — embedding technology into partner products, co-developed products, distribution through partner surfaces, or similar — in addition to conventional commercial agreements Experience personally leading complex, multi-stakeholder negotiations with senior executives, including deals with interlocking terms, competitive sensitivities, and multi-year commitments Demonstrated ability to manage several significant negotiations at the same time without losing the thread on any of them Experience coordinating cross-functional execution (e.g., Product, Engineering, Legal, Finance) to bring a complex agreement from structuring through signature and delivery Preferred qualifications 10+ years in strategic business development, strategic partnerships, or corporate development at technology companies, with meaningful time spent managing relationships with very large technology partners Experience on either side of a partnership between a foundation model or AI platform provider and a large technology company Experience working inside one of the very large technology companies, with a practical understanding of how decisions get made, who holds budget and roadmap authority, and how to navigate them Experience with partnerships that span both consumer and enterprise businesses, or that combine product, distribution, and infrastructure components in a single relationship Understanding of foundation model capabilities and how they translate into partner products, with enough technical fluency to work credibly with product and engineering leaders on both sides Background in corporate development, strategy, or a legal or finance discipline involving structuring and papering unusually complex agreements The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $365,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Large teams of agents are starting to solve problems no single agent can, from rewriting major codebases to formalizing landmark mathematics. Our team studies how these teams scale: what happens to performance, cost and coordination as the number of agents, the compute budget and the length of the task grow, and what has to change to keep getting returns from that scale. We build the platform and evaluations Anthropic uses to run and measure large agent teams, and other research teams build on them. This role lives at the boundary between research and engineering. It is a generalist role on a small team: you'll design and run large experiments, build the systems they run on, and get to the bottom of surprising results. We often need to go from a vague question to a running experiment quickly. Responsibilities: Design, run and interpret large-scale experiments on agent teams, reasoning rigorously about what the data does and doesn't show Investigate how performance and efficiency change as team size, compute and task horizon grow, and find the bottlenecks that limit them Build and scale the systems that run very large agent teams reliably, and debug the failures that only appear at scale Design evaluations for long-horizon problems, and keep their results trustworthy Build the tooling and metrics that let researchers see what a large agent team is doing and why Partner with research teams across Anthropic so they can run their own experiments on the platform, and communicate findings clearly You may be a good fit if you: Have significant software engineering, ML or research engineering experience Have owned something substantial end to end, such as a large system, an evaluation or benchmark, an agent product, or a research project Genuinely enjoy both research and engineering work Think quantitatively about complex systems, and think twice before trusting a number Can work from a vague question rather than a spec Are results-oriented, with a bias towards flexibility and impact Have clear written and verbal communication Care about the societal impacts of your work Strong candidates may also have: Experience building or operating large-scale distributed systems, such as schedulers, sandboxed code execution, or inference and RL infrastructure Built evaluations, benchmarks or harnesses for LLMs or agents Experience building complex agentic systems that use LLMs Experience with scaling laws or other large-scale empirical research A background in operations research, statistics, economics, physics, quantitative finance, or another field that models and optimizes complex systems Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Prior experience with multi-agent systems or reinforcement learning Representative projects: Measure how performance scales with the number of agents on a hard problem, and explain where the curve bends and why Prepare our largest-ever agent run: find what breaks as team size and task length grow together, and fix it before launch Work out how to allocate a fixed compute budget across a team of agents to solve a problem fastest Build tooling that turns the activity of a large agent team into something a researcher can read in minutes Design a novel eval that distinguishes real gains in teamwork from artifacts of the evaluation setup The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance & Audit Programs runs the integrated audit across our frameworks and maintains the Common Control Framework, the single set of controls that the whole program is built on. This role sits in Audit & Assurance and owns the framework and the assurance view across every control domain. About the role As part of the Security Audit & Controls team,  you will own the CCF across every control domain, from access and change management to logging, encryption, and people controls: which controls we have, what each one says, how each maps to the frameworks and commitments we hold, and whether each one is actually working. You'll work with control owners and GRC Partners to draft and validate control descriptions and activities that describe reality rather than policy intent, build the monitoring that shows operating effectiveness continuously instead of once a year, and drive what monitoring finds to closure with control owners. Building with Claude is a normal part of the job: drafting and mapping controls, testing evidence, and monitoring control health, with you deciding where human judgment stays in the loop. This is an individual contributor role for someone who works well independently, writes clearly, and gets satisfaction from a control set that is accurate, tested, and trusted by auditors and engineers alike. Key responsibilities Own the Common Control Framework: the canonical control set, its mappings to SOC 2, ISO 27001/42001, HIPAA, FedRAMP, and customer commitments, and the change process for adding, retiring, or rewording controls Draft and validate control descriptions and control activities with control owners, so each control states who does what, how often, in which system, and what evidence proves it Design and run continuous monitoring of control efficacy: define the metrics and automated tests that show operating effectiveness, tune out false positives, surface failures to owners before an auditor does, and build the controls maturity model that shows where each control domain stands and what it takes to move up a level Verify remediation and carry it into steady state: GRC Partners lead remediation in their domains and control owners implement the fixes. This role advises on control design and implementation, confirms fixes against what the auditor actually asked for, and keeps one source of truth for control and finding status. Once a fix holds, it works with the partner to standardize the evidence pull and, where appropriate, automate it or build continuous Map new frameworks and commitments onto the CCF as we commit to them, and support gap assessments when a new framework, certification, product, or entity comes into scope, using the CCF as the baseline and writing the requirements for each delta Support the integrated audit and customer audits: readiness checks, walkthrough preparation, evidence request lists, and the readout of external findings back to GRC Evaluate evidence reliability, including the completeness and accuracy of system-generated reports and AI-generated evidence, and set the standard for what audit-ready evidence looks like here Build with Claude: automate control mapping, evidence testing, and monitoring, and verify machine-drafted control language before it becomes the record Minimum qualifications Several years in IT audit, security compliance, or controls assurance, including hands-on ownership of a control framework or control library across more than one framework (for example SOC 2, ISO 27001, FedRAMP, HIPAA) Working command of audit mechanics: scoping, walkthroughs, sampling, design versus operating effectiveness, deficiency evaluation, and evidence reliability Experience writing control descriptions, control activities, and test procedures that other teams and external auditors relied on Experience with continuous controls monitoring or automated evidence collection, whether you built it, ran it, or audited it Enough technical fluency to read a runbook, a configuration, or a pipeline definition and judge whether it enforces what the written control claims Clear writing, because your control language and status reports are what auditors, engineers, and leadership work from Ability to get control owners and partner teams to prioritize and close work without having authority over them Preferred qualifications Have designed or rebuilt a common controls framework and led the remapping of existing frameworks onto it Have stood up continuous controls monitoring or automated evidence programs and can speak to coverage, false-positive rates, and what changed as a result Have applied LLMs to assurance work, such as control drafting, framework mapping, evidence testing, or monitoring Have defined or assessed controls for AI systems or agents operating in production, or for home-built internal systems Have provided requirements for a homegrown GRC platform and worked with the engineers who build it You don't need to Have done everything on this list. The scarce combination this role exists for is framework ownership plus the judgment to tell whether a control actually works Write production code. The bar is fluency sufficient to read, query, and challenge Hold every certification. CISA, CISSP, or similar are welcome and not required Have prior AI-industry experience Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas. However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. Within Safeguards, our Policy, Enforcement, and Threat Intelligence teams work as one org: Policy Design defines what is and isn't allowed across harm areas, Enforcement detects and acts on violations, and Threat Intelligence investigates sophisticated misuse and emerging threats. That work runs across a lot of teams and moves fast. A single decision can touch model training, detection systems, product launches, legal review, and external communications. As the org's program manager, you'll keep all of it moving: tracking the portfolio across all three teams, running the processes that connect their work to each other and to the rest of the company, and making sure the right people are aligned before decisions land. Your work will include the operating rhythm (planning, priorities, status, and decision tracking), launch and release readiness across policy, enforcement, and threat intelligence workstreams, and the processes that support how we share our work externally, including blog posts, threat reports, and other publications. You'll work closely with the org's leadership to spot risks early, clear blockers, and keep everyone pointed in the same direction. This role is a good fit for someone who brings structure to ambiguous, fast-moving work without adding overhead, and who can earn the trust of policy experts, researchers, and engineers alike. Important context for this role: some of the work may involve exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature. It also may require late nights or weekend work. Key responsibilities Own cross-functional program management for the Policy Design, Enforcement and Threat Intel teams, keeping workstreams across harm areas on track and visible to leadership Run the team's operating rhythm: quarterly planning, priority setting, status tracking, and a clear record of decisions, who made them, and why Coordinate policy work with partner teams across research, product, engineering, legal, and communications, so dependencies are surfaced early and nothing lands on a partner as a surprise Drive readiness for policy, enforcement, and threat intelligence work tied to model launches and product releases, including timelines, reviews, and sign-offs Own the process for the org's external publications, including blog posts and threat reports, from idea through drafting, review, approvals, and publication Identify risks, blockers, and resourcing gaps across the portfolio, and escalate them with a proposed path forward Build lightweight processes and tools that make the team faster, and retire the ones that stop earning their keep Minimum qualifications Experience running cross-functional programs in a fast-moving technical environment, with a track record of shipping on time across teams you don't manage Ability to bring structure to ambiguous work: breaking big goals into plans, owners, and milestones, and keeping them current as priorities shift Strong written communication, including clear status updates, decision records, and summaries for executive audiences Experience managing review and approval processes with multiple stakeholders, such as publications, launches, or policy releases Judgment about when a process helps and when it's overhead, and a bias toward the lightest process that works Comfort working on sensitive topics and holding high standards for confidentiality Preferred qualifications Program management experience in trust & safety, product policy, enforcement operations, threat intelligence, or AI safety Familiarity with how AI models are developed and launched, and how policy, enforcement, and threat intelligence work plug into that cycle Experience coordinating external publications, research releases, or public communications Experience using AI tools, including agentic tools, to automate tracking, reporting, and other recurring program work The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Program Manager, Brand at Anthropic, you will be the connective tissue of our brand marketing organization. Marketing Strategy & Operations sits at the center of how the team plans, prioritizes, and executes, and as we scale, you will build and own the operating structure that keeps our teams moving. This is a high-impact role for someone who thrives in ambiguity and complexity, who is energized by working across many teams, and who would rather build the system than run the same play twice. In this role, you'll support program management for a portfolio of high-touch strategic work and org effectiveness programs. You'll partner closely with Comms, Brand, Enterprise Marketing, Finance, Legal, and Procurement, and you'll work directly with leadership to translate ambitious goals into clear, sequenced plans with owners and resources behind them. Some flexibility to travel is needed. Key responsibilities Lead program management and shape strategy for our flagship brand campaigns and strategic programs, from kickoff through launch Run operations for our global agency retainers Own the marketing onboarding program, using feedback to improve each iteration Partner with leadership on ongoing reporting, team planning, priorities, and goal-setting Build lightweight, simple, and flexible org processes and central resources Shape culture and community programming for the marketing organization Minimum qualifications Have significant experience in brand program management, chief of staff, marketing operations, brand marketing, business operations, strategy, or related roles at high-growth technology companies Have built, or been early in building, a marketing operations or business operations function from the ground up in a complex, fast-paced, multi-stakeholder environment Have excellent project management skills and can coordinate complex, multi-stakeholder initiatives effectively Are passionate about translating ambiguous strategic objectives into concrete operational plans and actionable workstreams Have strong analytical skills and experience building reporting frameworks, forecasting models, and performance measurement systems Enjoy designing scalable programs, frameworks, and flexible org systems that people actually use Work comfortably with AI tools, automations and modern productivity platforms Are a strong communicator who keeps many stakeholders aligned and informed Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience running operations for large integrated brand campaigns, such as major tentpole or broadcast-scale launches Experience managing external agency relationships Background in budget controlling and procurement processes in partnership with Finance and Legal A track record of simplifying or retiring processes that had become too heavy, based on team feedback and business needs The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 — $255,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Communications, Brand, and Marketing teams shape how people inside the company and around the world understand AI, its risks, and its benefits. They move fast, often through moments that make headlines. We're looking for a recruiting leader to run the team that hires for them. In this role you will lead a team of experienced recruiters and be the main recruiting partner to the leaders of these functions and their operations partners. The team is seasoned, and each recruiter brings deep context on the business. From day one you have two first priorities: the team you manage and the leaders you support. You might spend one hour coaching a recruiter through a hard search and the next working with a senior leader on how their organization needs to grow. Key responsibilities Lead, coach, and retain a team of senior recruiters, with a focus on fast and timely feedback Build deep trust with the leaders of Communications, Brand, and Marketing. Learn what they need, raise hiring risks early, and push back when the plan and the market don't match. Run a tight operation. Own headcount plans, pipeline data, and reporting, and keep them accurate enough that leaders and operations partners can plan from them. Use data to show where each search stands, where it is stuck, and what it will take to close. Work with the operations partners for these teams on headcount, planning, and priorities, and treat them as true partners. Set one consistent process across the team: how a search runs, how interviews are structured, how data stays clean, and how recruiters use our systems and Claude workflows. Hire recruiters onto your own team, including specialists in communications and brand hiring. Partner with Compensation, Finance, People Partners, and Recruiting Operations so that candidates and hiring teams get a clear, fair process. You may be a good fit if: You have managed recruiters, including senior recruiters, and maintained a strong team culture You have been the trusted recruiting partner to senior executives, and you can explain how you earned that trust. You run recruiting operations with rigor. You know your numbers, and your headcount and pipeline data hold up when someone checks them. You stay steady at a high pace for long stretches, and you keep your team steady too. You give and take direct feedback, and you handle hard conversations with care. You keep sensitive information confidential and use good judgment on sensitive searches. Strong candidates may also have: 10+ years of recruiting experience, including 5+ years managing recruiters or recruiting managers. Experience leading an executive search function, or owning a recruiting portfolio for Communications, Brand, Corporate Affairs, or Marketing. Experience supporting leaders whose work is public and high-stakes. Experience scaling a recruiting team at a fast-growing company. Fluency with recruiting systems and AI tools, and a record of teaching recruiters to use them well. The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $295,000 — $375,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. ABOUT THE ROLE We are seeking an experienced leader to oversee Anthropic's global equity administration and payroll operations. In this role, you will lead the teams responsible for our equity compensation administration programs and global payroll operations, ensuring both functions scale accurately, compliantly, and efficiently as we grow — including through listing readiness and public-company operations. You will manage senior functional leaders across equity and payroll, and partner closely with Legal, Tax, HR, and the broader Accounting organization to support our mission to make AI beneficial for humanity. RESPONSIBILITIES Lead and develop the equity administration and payroll teams, setting strategy, priorities, and operating cadence across both functions Own the control environment for equity and payroll: design and document to public-company standards. Oversee scaling to public-company standards across both functions. Drive systems strategy across the compensation platforms, from equity to payroll, and surrounding integrations, ensuring a coherent architecture as we scale Serve as the primary escalation point and executive interface for equity and payroll matters with Legal, Tax, HR, and external providers Oversee international expansion of both functions, including new-country payroll setup, cross-border equity compliance, and mobility programs Partner with Accounting on stock-based compensation and payroll accounting, ensuring clean handoffs for close, reporting, and audit Drive automation and continuous improvement of manual processes across both teams through technology solutions Build headcount and resourcing plans that scale with the business YOU MAY BE A GOOD FIT IF YOU Have 15+ years across equity compensation and/or payroll operations, with significant experience leading senior functional leaders Have operated equity and payroll functions to a public company standard. Have deep familiarity with equity management platforms (such as Shareworks or E*TRADE) and Workday payroll, with experience owning cross-system architecture Have built and scaled global operations across multiple jurisdictions Are a strong people leader who develops senior functional experts Thrive in ambiguous, fast-paced environments and default to building scalable processes over adding headcount STRONG CANDIDATES MAY ALSO Hold CEP (Certified Equity Professional) or CPP (Certified Payroll Professional) certification Have experience with international mobility programs, worker secondments, and cross-border tax considerations Have led complex system implementations or migrations at scale The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $570,000 — $610,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Card Loan Platform team builds the high-throughput decision engine at the heart of Affirm's card products. Unlike traditional cards, every pay-later transaction is backed by its own unique loan, and our system is the "invisible piping" that makes this complex model work at scale. Every swipe triggers our platform to solve a hard problem in milliseconds: matching messy, fragmented payment network data to the correct loan to drive real-time approvals, origination, and refunds. As Affirm experiences explosive growth, our team's contributions are a key enabler. This isn't just another backend role; you'll be building the "financial brain" for our flagship card products, with your work on the critical path for every single swipe. We're tackling a unique, high-stakes distributed systems challenge that demands exceptional correctness and massive scale. You will partner closely with product, data science, and engineering teams to design and build the future of our industry-leading money movement platform. If you are passionate about making foundational design decisions and building a beloved, lasting financial brand—come join us. It's going to be an amazing ride! What you'll do Drive technical strategy by leading the planning, prioritization, and execution of projects, ensuring alignment with product, technical, and business goals. Lead the end-to-end system design and development of large-scale, high-availability services. This includes building robust APIs and data models for our micro-service and event-driven architectures. Collaborate across functions with partners in Product, Analytics, Design, Legal, and Accounting and to define requirements and execute our card loan attribution and lifecycle strategy. Ensure system health and performance by analyzing and troubleshooting complex technical issues, optimizing existing code, and driving solutions that focus on long-term robustness and scalability. Mentor and grow the team by guiding junior engineers, leading technical discussions and design reviews, and championing best practices through code review. What we look for 5+ years of experience in software development or engineering, with a deep understanding of system design and architecture. Motivated leader, inspiring team growth and fostering a culture of continuous learning Excellent communicator, adept at sharing complex ideas with diverse audiences. Strong analytical and problem-solving skills, with a creative and solution-oriented mindset. Proficiency in modern programming languages such as Python, Kotlin, or similar. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes). Knowledge of database systems (SQL, NoSQL), web frameworks, and RESTful API development. This position requires either equivalent practical experience or a Bachelor's degree in a related field. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan Pay Grade - N Equity Grade - 6 Employees new to Affirm  typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $153,000 - $213,000 CAD  #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's  Global Candidate Privacy Notice and consent to the use of your personal information as described.

Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity's AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients. At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you. This role can be filled in the Northeast (New York, NJ, Philadelphia, Boston), our San Francisco headquarters, OR other remote locations in the U.S. As a Senior Statistician , you'll work within a cross-functional team alongside other analysts, data-scientists, engineers, and commercial stakeholders in generating actionable insights to help improve healthcare. How you'll make an impact: Take ownership and evolve our existing program impact measurement capabilities, built in-house and in partnership with third-party experts such as IQVIA. Develop and maintain  analytically rigorous program performance benchmarks. Discuss standard and bespoke measurement methodologies with clients during pre-sale and present analysis results to brand marketing team as well as client analytics team Mentor and help Business Analytics Managers with interpreting measurement results, identifying actionable insights and preparing for client discussions leading to increased sale and renewals Serve as statistical consultant and provide guidance to Data-Science team for advanced modeling Help implement and scale survey /  market research based measurement capabilities  Manage vendor relationships for third party data procurement. The Core Values of the Client Intelligence team As an organization we value diversity - in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build a better future for all. Below are additional core values specific to the Insights Team. Collaboration —The best candidates and teammates are not only strong in their own aptitudes but care deeply about supporting each other's growth. Passion for Data —You're going to help our clients and team members with data-driven decision making. We need someone that can manipulate millions of rows of data and also ask the right questions to find the important insights. Reliability – Our team is efficient, flexible, and agile only because we trust the reliability of each member. We need self-starters and goal-oriented individuals for our continued success. Curiosity – Continuous learning is a cornerstone at Doximity, and curious individuals thrive in our environment. We're looking for someone who is curious enough about data to go above-and-beyond the task for the true insight. Respect – A key dynamic that allows our team to flourish is respect: for ourselves and our quality of work, for our teammates, and for our internal clients who are under the pressure of deadlines and finance goals. About you: 10+ years of professional experience in a quantitative or statistical role (e.g., statistician, biostatistician), within healthcare, pharma, or a related industry. Hands on experience with statistical methodologies and techniques such as test-vs-control study designs, covariate adjustment methods (e.g., ANCOVA), clustering, etc. Strong context into HCP prescription and claims data, including how they're recorded and tracked by data vendors, what they represent, and typical data gaps. Advanced SQL and python proficiency including writing complex queries across multiple tables and familiarity with data science libraries Experience working with third party analytics vendors such as IQVIA, including running independent studies, engaging in RFPs and contract discussions, and maintaining relationships. Experience applying data science techniques such as clustering and machine learning to sponsored engagement, using Rx and Dx data to measure impact. Experience representing yourself externally and leading client conversations around program performance analysis. Fun Facts About the Client Intelligence team We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of clinicians and their connections. Business decisions at Doximity are driven by our data, analyses, and insights. The members of our team bring a diverse set of technical and cultural backgrounds. We like to have fun - company outings, team lunches, and other social events! Compensation The anticipated total compensation for this role is $151,000 - $207,000, depending on factors such as experience, skills, location, and internal equity. Our total compensation package may include: Base salary Equity (where applicable) Annual bonus or incentive compensation (where applicable) Specific compensation details will be discussed during the interview process. Benefits In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include: Medical, dental, and vision insurance 401(k) with company match Flexible paid time off and company holidays Paid parental leave Professional development and learning opportunities Wellness and mental health resources Remote work support and home office stipend (where applicable) Why You'll Love Working Here At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work. Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care. Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning. Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work. Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development. Bring your authentic self. We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated. Our Hiring Process & AI Tools Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws. Equal Employment Opportunity Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law. If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.

Events Manager About Doximity Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity's AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients. At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you. About the Role As an  Events Manager , you will plan and execute experiences that bring Doximity closer to the clinicians and healthcare organizations we serve. You will: Support Own and plan our twice-yearly Medical Advisory Summits , bringing physicians and Doximity leaders together for thoughtful discussions about clinical needs, product feedback, and the future of care. Lead planning, invitations, programming coordination, travel, vendors, and on-site execution. Manage Doximity's presence at medical trade shows, including booth experiences, sponsorships, staffing, logistics, and lead capture. Plan corporate events, physician gatherings, and conference-adjacent experiences that build relationships and showcase Doximity's products. Produce virtual events and activations, including webinars, product demonstrations, and interactive sessions for clinicians. Manage event calendars, budgets, vendors, and timelines; set goals for each event and measure attendance, engagement, and outcomes to improve future programs. Location: This role is Remote in the United States. Travel to events is required. What We're Looking For We're excited to meet candidates who have many of the following qualifications: Experience owning complex, high-touch events from concept through execution, ideally including executive gatherings, advisory boards, or summits. Experience managing trade shows, corporate events, and virtual programs. Strong project management skills and the ability to keep multiple events, deadlines, budgets, and stakeholders on track at once. Confidence working with senior leaders, physicians, speakers, and vendors, with a thoughtful approach to the attendee experience. Experience in healthcare, technology, or professional communities is a plus. Compensation The anticipated total compensation for this role is $85,000 - $119,000  depending on factors such as experience, skills, location, and internal equity. Our total compensation package may include: Base salary Equity (where applicable) Annual bonus or incentive compensation (where applicable) Specific compensation details will be discussed during the interview process. Benefits In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include: Medical, dental, and vision insurance 401(k) with company match Flexible paid time off and company holidays Paid parental leave Professional development and learning opportunities Wellness and mental health resources Remote work support and home office stipend (where applicable) Why You'll Love Working Here At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work. Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care. Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning. Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work. Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development. Bring your authentic self. We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated. Our Hiring Process & AI Tools Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws. Equal Employment Opportunity Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law. If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.  

Who we are  At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to  hundreds of thousands of businesses  and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!  Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.  . See yourself at Twilio Join us as our next Senior Solutions Engineer on Twilio's Digital Sales Communications team! Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having "desired" qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 5+ years pre-sales experience selling complex, technical products or 6+ years of professional experience supporting technical products coupled with customer facing experience, particularly in delivery or consulting Excellent communicator and presenter able to gain audience confidence An engaging storyteller - you can gain audience confidence and communicate complex topics to multiple levels of audience. Ability to build a deep understanding of a customer's communications needs and guide them to a technical solution Previous software development experience or working knowledge in one or more of the following areas: Bachelor's and/or Master's degree in a technical discipline (Engineering, Mathematics, Computer Science) or equivalent practical experience Desired: Familiarity with cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architecture. Previous experience in Telecom, SIP, Contact Center, or Security is a plus. Experience with sales methodologies Location This role will be remote, but is not eligible to be hired in CA, CT, IL, MA, MD, NJ, NY, OR, PA, RI, TX, VA, WA, or Washington DC. Travel  We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $109,760.00 - $137,200.00. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $115,840.00 - $144,800.00. Based in the San Francisco Bay area, California: $121,920.00 - $152,400.00. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. This role is eligible to earn commissions.  The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.  Application deadline information Applications for this role are intended to be accepted until November 1, 2026, but may change based on business needs.  Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.