Location: Gurgaon, India
Workplace: remote
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
About the Team
Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.
About the Role
We're looking for a Trust & Safety Specialist, based in India, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one.
What You Will Do
Run investigations end-to-end:
triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA.
Own IDV review:
verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud.
Conduct manual audits and reviews:
prioritizing cases by risk and signal strength rather than intake order.
Detect multi-accounting and account integrity abuse:
recognize patterns across linked accounts, device/location overlap, and behavioral signals.
Apply a hypothesis-driven investigation method:
form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited.
Contribute to detection improvement:
escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team.
Handle sensitive data responsibly:
apply GDPR-aligned data handling and deletion practices in every case.
Collaborate cross-functionally:
partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework
What You Bring (Must Have-s)
4+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function.
Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring.
Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review.
Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal.
Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count.
Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion.
Nice to Have
Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms.
Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality.
Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level).
Case management system experience (any ticketing or knowledge-base tooling).
Recommended Education
Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field.
Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree.
Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.
Location: Paris
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role:
- you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency.
- and the remainder building, maintaining, and troubleshooting annotation operations.
You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced.
Key Responsibilities
- In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines.
- Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models
- Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar
- Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators
- Organise annotator training and coordinate feedback between annotators and reviewers.
About you
- A degree (minimum Masters level) in a Finance discipline.
- At least 3 years of professional experience in the Financial domain.
- Outstanding analytical and research skills
- Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files.
- Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly.
- Excellent communication, interpersonal, and organisational abilities
- Adapts easily to dynamic environments and changing requirements
- Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work.
- Professional proficiency in English, with strong writing and comprehension skills
Nice to have
- Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data
- Experience building an annotation team through interviews and training
- Proficient in at least one programming language (e.g. Python)
- Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data
- Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts)
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a strong Deep Learning Engineer to join our Autonomy team and develop the learning-based algorithms that power dynamic locomotion and whole-body control on our humanoid robots.
You will develop robust, reusable motion capabilities that enable the robot to move dynamically, maintain balance, interact with its environment, and combine locomotion with manipulation. This includes building the underlying learning-based motion primitives that can be composed into increasingly complex whole-body behaviors.
You will work closely with robotics, controls, simulation, and machine learning engineers to turn learned behaviors into reliable capabilities running as part of the robot's real-time control stack.
WHAT YOU'LL DO
- Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors.
- Develop motion primitives using different learning based generative models.
- Apply reinforcement learning, imitation learning, and other learning-based approaches to motion generation and control.
- Build scalable simulation, data generation, and training pipelines using platforms such as Isaac Lab and MuJoCo.
- Develop methods for robustness, adaptation, and sim-to-real transfer, including domain randomization and learning from real-world robot data.
- Deploy, evaluate, debug, and fine-tune learned policies on physical humanoid robots.
- Optimize policy inference and training systems for the performance and latency requirements of real-time control.
- Integrate learned policies into the broader robot control and autonomy stack.
WHAT WE'RE LOOKING FOR
- BS, MS, or PhD in Robotics, Machine Learning, Computer Science, or a related technical field.
- 3+ years of experience developing machine learning systems in industry or research.
- Strong understanding of deep learning and modern policy architectures, including training, inference, experimentation, and debugging.
- Hands-on experience with RL and at least one additional area such as imitation learning, generative models, sequence models, or large-scale representation learning.
- Strong Python and PyTorch experience.
- Experience with physics-based simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or similar platforms.
- Ability to reason about learning algorithms in the context of dynamics, control, and physical systems.
Nice to have:
- Experience applying reinforcement learning or imitation learning to legged robots, humanoids, or other complex physical systems.
- Experience with whole-body control, locomotion, motion imitation, or loco-manipulation.
- Experience deploying learned policies on real robotic systems and debugging the sim-to-real gap.
- Familiarity with motion capture, trajectory optimization, model-based control, or learning from demonstrations.
- Experience training policies at scale across large numbers of simulated environments.
- Publications at NeurIPS, ICML, ICLR, CoRL, RSS, CVPR, or equivalent contributions to impactful open-source robotics or machine learning projects.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Berlin
Workplace: Hybrid
OUR STORY:
Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.
ABOUT THE ROLE
Taxfix builds more products for more customer segments, faster than before. As Senior Product Marketing Manager, you are the go-to-market partner embedded into a product team, from the first discovery conversation to scaling. You’re not just handed a final product to talk about it. You bring customer, market and competitive evidence into the decisions that shape what gets built from day one: which segments to target, what features to prioritize, how to create Aha moments. You influence what the product does, how it wins and whether people will pay. You also build the systems that keep this work running: from automated competitor and customer insights generation, to agentic workflows that let product teams run smaller launches themselves at high quality.
You work closely with Product, Engineering, Commercial, Growth Marketing and Paid Acquisition.
WHAT YOU'LL DO
- Taking one (or many) of our big bets to market. With high level of responsibility, autonomy and direct support from senior leaders and domain experts, you will help us launch assisted and AI-native experiences that customers truly love.
- Bring the market into product decisions. Turn customer, market and competitive evidence into clear recommendations for the product team. Join discovery work and design sprints where market specifics shape what gets built.
- Choose who to serve, and who not to. Break users and products down into needs, pains, and functional and emotional value. Define sharp ICPs and decide which segment to win first and later.
- Position the product to win. Define the competitive alternatives, what makes the product different and why it wins. Turn that into a sharp messaging and shape the pricing and packaging inputs.
- Run launches as tests. Run lean tests early, report what the measures show, and adapt the product, the positioning and the go-to-market. You gather evidence that improves our GTM decision quality, not tick off a launch checklist.
- Align the people around the work. Bring structure to complex go-to-market work: clear owners, milestones, decision points and success measures. Facilitate decisions across Product, Engineering, Data, Growth and commercial teams.
- Build the insight engine. Replace ad hoc research with automated flows of competitor and customer insight that product and marketing teams use every week.
- Own part of the context system. Turn each go-to-market decision and artifact into governed context that empowers people and agents alike.
- Build with AI. Build your own prototypes, applets and automations for the opportunities you prioritize, and help product teams self-serve lower-tier launches at quality.
WHAT YOU'LL BRING
- 5+ years of bringing tech products to market. You have successfully taken complex products or features from discovery to launch and adoption, in a fast-paced environment.
- Data- and evidence-driven over opinion. You set clear targets, success definitions and guardrails. You analyze data and derive actionable next steps. When evidence contradicts the plan, you say so, including to senior stakeholders.
- Customer insight and craft. You stay close enough to users to quote them. You turn what they said into why they behave as they do, and into a narrative people remember.
- AI as a builder. You build agents, automated workflows, prototypes and context towards clear milestones or outcomes.
- Communication and project leadership. You write and speak with precision, align several teams at once and keep many moving pieces on track.
- High agency and curiosity. You find the problem and solve it without waiting to be told, and you carry it like an owner.
- Bias for action. You prioritize speed of learning and progress over perfection.
- English and German. You use German to write customer-facing messaging and English to work with the wider team.
WHY TAXFIX?
- A chance to do meaningful, people-centric work with an international team of passionate professionals.
- Holistic well-being with free mental health coaching sessions.
- A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
- Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.
- 30 annual vacation days and flexible working hours.
- A generous learning budget to support your personal and professional development and guidance from our internal L&D experts.
- Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip.
- Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible.
- Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions.
- Have a four-legged friend in your life? We’re happy to have dogs join us in the office.
Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture.
At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.
Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
We're looking for an Intermediate Site Reliability Engineer to join the Cells Infrastructure team in GitLab's Scale & Architecture organization. In this role, you'll help build and operate Cells, the architecture that lets GitLab.com scale horizontally. Cells splits GitLab.com into many independent units, each with its own application and data stack, behind a shared routing layer.
This is a build-it-and-run-it role. You'll provision cells, route traffic to them, deploy them safely, and keep them reliable in production. You'll also help move customer organizations onto Cells, one of GitLab's most important scaling initiatives.
What you'll do
Operate Cells in production: join the on-call rotation, respond to incidents, lead post-incident reviews, and drive corrective actions to completion.
Define and monitor service level objectives (SLOs) for routing and cell health, and build the dashboards, alerts, and runbooks behind them.
Provision and operate cell infrastructure on Amazon Web Services (AWS) and Google Cloud Platform (GCP), including Kubernetes, networking, Identity and Access Management (IAM), PostgreSQL, Redis, and object storage.
Develop infrastructure as code with Terraform, Helm, and GitOps tooling such as Argo CD.
Operate and extend the global routing layer, built on Cloudflare Workers, Envoy, and a Go service backed by Cloud Spanner, and expand routing to more protocols and services.
Improve the continuous integration and continuous delivery (CI/CD) pipelines behind ring-based deployments, covering promotion, database migrations, quality assurance validation, and rollback.
Support organization migrations by preparing destination cells and helping with dry runs and production cutovers.
Work with product teams to make their services cell-compatible, and write documentation so others can operate Cells with confidence.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Professional experience running production infrastructure at scale on AWS, GCP, or both, including Kubernetes, along with strong Terraform and Helm skills.
Proficiency in Go, or strong experience in another systems language and willingness to work in Go daily.
Solid grounding in site reliability engineering (SRE) best practices: SLOs and error budgets, blameless post-incident reviews, reducing toil through automation, capacity planning, and designing for graceful degradation.
Experience owning services in production, including on-call, incident response, and monitoring with tools such as Prometheus and Grafana.
Practical knowledge of progressive delivery: how to roll changes safely across a fleet and how to roll them back.
A strong understanding of distributed-systems fundamentals, such as request routing, proxies, consistency, and failure domains.
Experience working effectively in distributed, all-remote teams: you default to asynchronous, written-first communication, document decisions in issues and merge requests, hand off work cleanly across time zones, and stay transparent about progress and blockers.
Experience with Cloudflare, Spanner, Argo CD, TypeScript, or operating GitLab at scale is a plus, not a requirement.
About the team
Every team in our organization owns its services end to end, from design through on-call.We own the control plane that tracks cells and decides where each request belongs, and keep the fleet in step with GitLab's release cadence.We work closely with delivery, database, migration, and product teams across GitLab. Feature teams own how their services behave on the platform; we own the underlying infrastructure.We're an all-remote, asynchronous team. We make decisions in GitLab issues, use directly responsible individuals (DRIs) to own technical direction, demo our work weekly, and use AI-assisted workflows every day.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Help us build the next generation of authentication services at GitLab. As a Senior Backend Engineer on the Authentication team, you'll build authentication features across the Rails monolith and GATE. GATE is our new service for issuing and validating tokens and managing identities, designed to support every GitLab deployment model.
You'll expand authentication mechanisms, including support for identities used by artificial intelligence (AI) agents. You'll also help keep GitLab and its customers secure by building access management tooling and addressing vulnerabilities reported through our HackerOne program.
GATE will become the foundation for token issuance, validation, and identity services across GitLab.com multi-tenant software as a service (SaaS), Self-Managed, Dedicated, and air-gapped environments. Your work will affect core components that customers, users, and GitLab teams rely on.
Some of our projects include:
Building GATE as the centralized service for token issuance and validation
Consolidating tokens and migrating authentication paths out of the Rails monolith
Building passkeys and passwordless authentication
Developing composite identities that combine machine and human authorization for AI
Improving service accounts and secure automation
Enhancing Security Assertion Markup Language (SAML), Lightweight Directory Access Protocol (LDAP), OpenID Connect (OIDC), and System for Cross-domain Identity Management (SCIM) capabilities for automated user provisioning and single sign-on (SSO)
What you'll do
Shape the roadmap for GATE and GitLab's authentication services with the team.
Design and implement token issuance, validation, and identity services in Go and Ruby across the Rails monolith and GATE, including new authentication mechanisms such as Workload Identity Federation.
Migrate authentication and token management paths from the monolith into GATE while maintaining reliability across all deployment models.
Build authentication mechanisms from the ground up, such as Workload Identity Federation.
Strengthen security for users and organizations through access management tooling and by addressing vulnerabilities reported through our HackerOne program.
Define and improve standards for style, maintainability, and engineering practices in a high-scale environment, and advocate for them through code review.
Communicate publicly about GitLab initiatives, projects, and contributions from people not working for GitLab Inc. Reflect GitLab's values in these communications.
Ship moderately sized features and improvements with moderate guidance and support from other team members, and collaborate on larger projects, including the build-out of GATE.
Participate in the maintainer trainee program at your own comfortable pace while working toward becoming a project maintainer.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Professional experience with Go and/or Ruby in scaling or mission-critical SaaS products.
Familiarity with authentication and authorization technologies or techniques, such as OAuth, OIDC, SAML, SSO, SCIM, LDAP, JSON Web Tokens (JWTs), role-based access control (RBAC), or identity and access management (IAM).
Knowledge of token systems, cryptographic signing, and key management.
Experience building or contributing to a service from concept to production, including proposal, discussion, and execution.
Proficiency in written and verbal English, with the ability to communicate complex problems and solutions clearly in a remote, largely asynchronous work environment.
Experience diagnosing, preventing, and resolving performance and optimization problems.
Experience working in an iterative software development process, managing your work effectively, staying organized, and following through on priorities.
About the team
Our mission is to empower GitLab system administrators with the toolkit they need to create their desired balance of security and accessibility for their GitLab experience.
Authentication is the first impression a new customer has when they configure a new GitLab instance. We aim to make it as seamless as possible, from that first login to onboarding users and managing security rules for their instance in a secure, flexible, and scalable way.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: US: San Mateo (1875 South Grant Street); CAN: Toronto (111 Richmond Street West); CAN: Vancouver (333 Seymour St); US: Washington Remote Worker
Workplace: Hybrid
Team: Accounting Core
Location / work arrangement: San Francisco, San Mateo, Seattle & Vancouver (Canada)
Employment type: Full Time
About the Role
Xero’s ledger is the source of truth for millions of businesses, and every product we ship is built on top of it. We are rebuilding this integrity layer for the next 20 years, and we are standing up the Vancouver engineering hub around it from day one. As Lead Engineer, you will make the architectural decisions that set the course for the platform and the team, and you will see those decisions reach every customer who depends on Xero to get their numbers right.
THE TECHNICAL CHALLENGES
- Correctness at scale. Accounting data has to be consistent, auditable, and immutable. There is no “close enough,” and every change to the ledger has to preserve that guarantee across regions and regulations.
- Evolving a mature system. We are adding real-time expectations to a platform that millions of businesses depend on daily. That means strengthening service boundaries and clarifying data contracts without compromising reliability.
- Durable, high-throughput services. We use durable execution (for example, Temporal) to keep long-running financial workflows accurate and recoverable under load.
- AI-ready data. We are structuring accounting data so it can power AI-native experiences while maintaining trust in the numbers.
IMPACT
- First six months: You understand the ledger and its consumers, align the team on service boundaries and data contracts, and ship a first modernization increment with no loss of data integrity.
- First twelve months:
- You have set the architecture for the core accounting capabilities (general ledger, journals, chart of accounts, multi-currency).
- The Vancouver engineering team has clear ownership and quality standards, thanks in part to your leadership and role modeling.
- Your work reaches customers through every product built on the ledger, and the decisions made now will shape Xero for years.
OWNERSHIP
You will own the technical direction for your area of the accounting platform, from design through production and on-call. You will make architectural decisions on service boundaries, data contracts, and technology choices without needing sign-off, and you will be accountable for reliability and data integrity end to end. You will also help set hiring, quality, and ownership practices for an early and growing team, which will compound over time.
WHO YOU’LL WORK WITH
Bernardo Farah is the Director of Engineering for Accounting Core. He has over 10 years of SaaS software experience, including six years building platforms and growing teams at Samsara.
WHAT YOU BRING
MUST-HAVE:
- You set the standard for your team in AI-assisted development, operational excellence, and flexible architecture.
- A track record delivering highly available, distributed backend systems and designing high-throughput services under production constraints.
- Depth in system architecture, API design, and both SQL and NoSQL databases
- Proficiency in a modern backend stack such as C#, Java, Go, or C++, plus cloud-native platforms like AWS.
- You demonstrate strong ability in breaking down complex problems into clear, actionable solutions while driving agile execution to deliver results.
NICE TO HAVE:
- Experience with financial, ledger, or accounting systems, or other domains where data integrity is critical
- Experience with durable execution or workflow engines such as Temporal
- Experience modernizing a mature system without disrupting customers
HOW WE WORK
Process is a tool for impact and we adjust accordingly. We use an agile approach to ship outcomes, not to follow ceremony. Code and design reviews are where we trade ideas and hold the quality bar, and we are figuring out how to use LLMs to reduce how much code humans have to write and review by hand. Our on-call rotation draws on a healthy pool of engineers and turns incidents into learning through postmortems. Decisions are made at every level, and we make sure everyone has the strategic context to raise proposals and drive innovation.
Our Hiring Process
- Stage 1: Real World coding assessment, 45 Mins
- Stage 2: Systems Design assessment, 45 Mins
- Stage 3: Technical Deep dive, 60 Mins
- Stage 4: Values/ Future Proof, 60 Mins
- Stage 5: Leadership interview, 60 mins
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies.
Compensation & Total Rewards
At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.
The expected base salary range for this role in:
- California: $206,000 USD
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page.
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a
Senior Software Engineer, ML Platform,
you will work on our ML Data Team
and be instrumental in
architecting, implementing, and maintaining foundational ML infrastructure
powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will create ML data-governance tools that help MLEs discover and reason about signals, while contributing across the broader ML data platform—including prediction logging and training data systems.
Lead the design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand their ownership, lineage, quality, and usage.
Build tools that help teams assess signal importance and make informed lifecycle decisions.
Partner with MLEs and cross-functional teams to define governance workflows and deliver reliable, intuitive ways to explore and act on signal metadata.
Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data.
Drive complex projects end to end from technical planning and design through implementation, testing, rollout, and ongoing operation.
Who You Might Be:
5+ years of experience in the ML Platform domain.
Strong customer focus and experience driving projects from requirements to production in close collaboration with multiple cross-functional partners (XFN).
Experience with large-scale batch and streaming data processing.
Experience building production-quality systems with testing, monitoring, observability, and reliability practices.
Deep understanding of distributed systems and data-intensive architectures, with strong communication and collaboration skills.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$216,700
—
$303,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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 Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add.
We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas:
Scaling and infrastructure.
Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online.
Velocity.
The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform.
Inference engine.
The software between the accelerator kernels and the routing layer that serves every request.
Performance.
Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance.
This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like.
Key responsibilities
Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery.
Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path.
Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision.
Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps.
Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org.
Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams.
Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion.
Own inference readiness for model launches alongside our launch TPMs.
Minimum qualifications
7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it.
Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking.
A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly.
A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep.
The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers.
Strong written communication, including plans, reviews, and executive updates that many teams depend on.
Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit.
Care about Anthropic's mission and about serving frontier AI safely and reliably.
Preferred qualifications
Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing.
Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform.
Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services.
Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity.
Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work.
Familiarity with Kubernetes-based orchestration and job scheduling.
Experience working with research teams and turning their needs into infrastructure requirements.
Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't.
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:
$290,000
—
$435,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Location: San Francisco, CA
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 is seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into.
This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio.
You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made.
Responsibilities
Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments
Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts
Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities
Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives
Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready
Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on
Serve as a key point of contact with external auditors on technical accounting matters within your portfolio
Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters
Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work
Minimum qualifications
Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role
Hold a Bachelor's degree in Accounting or Finance; CPA required
Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements
Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements
Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets
Have a track record of improving scalable technical accounting processes in fast-moving environments
Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement
Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency
Preferred qualifications
Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience
Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure
Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks
Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases)
Experience with lease accounting software and derivative / hedge accounting systems at scale
SQL proficiency for querying and analyzing large contract and accounting datasets
Knowledge of AI/ML infrastructure and associated cost structures
Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation
Proven ability to navigate ambiguity and drive results in rapidly changing environments
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:
$230,000
—
$300,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Location: Netherlands; Mexico; Israel; United Kingdom; Portugal
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
And now we are looking for a
Senior Silicon Physical Design Engineer
to join us as part of our team.
About the role
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a SoC Physical Design Engineer, you will collaborate with functional design, Design for Testing (DFT), architecture, and packaging engineers. In this role, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind.
The AI and Infrastructure team is redefining what’s possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
We're the driving force behind groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Work Environment
Fully remote role. Flexible schedule with participation in team ceremonies and cross-functional collaboration.
As a qualified expert, You will
Use problem-solving and simulation techniques to ensure performance, power, and area (PPA) are within defined requirements.
Collaborate with cross-functional teams to debug failures or performance shortfalls and meet program goals in lab or simulation.
Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route, and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.
Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts.
We’re looking for you if you have
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
5 years of experience with System on a Chip (SoC) cycles.
Experience with advanced design, including clock/voltage domain crossing, DFT, and low power designs.
Experience in high-performance, high-frequency, and low-power designs.
Bonus Points
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with scripting languages such as Perl, Python, or Tcl.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.
Embrace the opportunity for personal and professional growth
Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.
Feel cared about
Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
Cloud Platform Engineer
An overview of this role
As a Cloud Platform Engineer on the Runway team, you'll help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You'll advance our Kubernetes-based platform, mature our GitOps practices, and expand infrastructure as code adoption across the business. This hands-on role brings together infrastructure, automation, and developer experience, helping application teams deploy and operate their services.
What you’ll do
Operate and improve production Kubernetes clusters across cloud environments, managing upgrades, scaling, and reliability throughout the cluster lifecycle.
Own and extend Argo CD-based GitOps workflows, maintaining ApplicationSets, managing sync policies, and enforcing deployment standards across environments.
Write, review, and maintain reusable Terraform modules, with clear practices for state management and drift detection.
Monitor platform health, respond to incidents, conduct post-mortems, and improve availability, performance, and observability.
Collaborate with application teams to onboard services, and create documentation, runbooks, and self-service tooling that improves developer productivity.
Implement role-based access control, network policies, and secrets management to meet infrastructure security and compliance requirements.
Integrate platform capabilities with continuous integration and continuous delivery (CI/CD) pipelines to support end-to-end delivery workflows.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Experience operating Kubernetes in production and working with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
Experience with Argo CD or comparable GitOps tooling, such as Flux.
Proficiency in Terraform for cloud infrastructure provisioning, including remote state, workspaces, and module design.
Ability to write scripts and automation in Python, Bash, or Go.
Familiarity with Helm for Kubernetes package management.
Understanding of networking fundamentals, including the Domain Name System (DNS), load balancing, ingress, and service mesh concepts.
Clear written and verbal communication, with the ability to document systems and collaborate across teams.
Optional: experience with managed, multi-cluster, or multi-region Kubernetes, service meshes, policy as code, observability, or Kubernetes-native infrastructure as code; open source or platform tooling contributions; or relevant certifications.
About the team
The Runway team builds and maintains infrastructure and developer tooling for GitLab's engineering organization. Its work centers on a Kubernetes-based platform, GitOps delivery practices, and infrastructure as code. The team collaborates with application teams to onboard services and improve developer productivity through documentation, runbooks, and self-service tooling.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,000
—
$194,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
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. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
At Harvey, we’re transforming how legal and professional services operate end to end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done. Our Agents team sits at the center of this mission, shaping the core experience through which users interact with Harvey and turn AI capabilities into useful, trustworthy work.
We’re looking for a Product Manager to help drive our core product experience, defining how users create, refine, and verify work with Harvey. Generating an answer or document is only part of the challenge. Users need to understand its sources, evaluate its accuracy, and shape it into something they can use. You’ll own a key piece of that experience, connecting what users see and do with the underlying agent capabilities that power it.
The opportunity spans problems like making generated documents easier to edit, helping users check supporting evidence without losing their place, and ensuring outputs follow the structure and format their work requires. You’ll bring strong product judgment and systems thinking to these challenges, partnering closely with engineering and design to make complex capabilities feel intuitive.
We move with urgency, bias toward simplicity, and expect our product leaders to stay close to the details. If you’re energized by ownership, decisive execution, and solving real user problems, we’d love to hear from you.
WHAT YOU'LL DO
- Own the strategy, roadmap, and execution for a core area of Harvey’s agent experience, taking problems from discovery through launch and iteration.
- Build experiences that help users edit, refine, and verify AI-generated work, making it easy to inspect supporting evidence and identify what needs closer review.
- Partner with Design, Product Engineering, Applied AI, Research, and Platform teams to solve problems across the interface and underlying agent behavior.
- Turn broad product opportunities into focused releases, testing the most important assumptions early and using customer feedback and usage data to guide investment.
- Keep the experience simple as Harvey’s capabilities expand, making deliberate decisions about what to surface, what to automate, and where users need control.
WHAT YOU HAVE
- 7+ years of product management experience building user-facing products, ideally in consumer, prosumer, or product-led B2B environments.
- Experience making complex workflows intuitive, with examples of how you simplified an experience while preserving the capabilities users needed.
- Experience owning problems that span the user interface and underlying systems. You work with engineers to determine whether a problem requires a better interaction, a change in system behavior, or both.
- A track record of turning ambitious ideas into useful early releases, validating with users, and making clear decisions to expand, change direction, or stop.
- Evidence that you can learn an unfamiliar technical domain and take ownership of product decisions within it. Experience with AI or LLM-powered products is a plus
COMPENSATION
$213,600 - $300,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
At Harvey, we’re transforming how legal and professional services operate end to end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done. Our Agents team sits at the center of this mission, shaping the core experience through which users interact with Harvey and turn AI capabilities into useful, trustworthy work.
We’re looking for a Product Manager to help drive our core product experience, defining how users create, refine, and verify work with Harvey. Generating an answer or document is only part of the challenge. Users need to understand its sources, evaluate its accuracy, and shape it into something they can use. You’ll own a key piece of that experience, connecting what users see and do with the underlying agent capabilities that power it.
The opportunity spans problems like making generated documents easier to edit, helping users check supporting evidence without losing their place, and ensuring outputs follow the structure and format their work requires. You’ll bring strong product judgment and systems thinking to these challenges, partnering closely with engineering and design to make complex capabilities feel intuitive.
We move with urgency, bias toward simplicity, and expect our product leaders to stay close to the details. If you’re energized by ownership, decisive execution, and solving real user problems, we’d love to hear from you.
WHAT YOU'LL DO
- Own the strategy, roadmap, and execution for a core area of Harvey’s agent experience, taking problems from discovery through launch and iteration.
- Build experiences that help users edit, refine, and verify AI-generated work, making it easy to inspect supporting evidence and identify what needs closer review.
- Partner with Design, Product Engineering, Applied AI, Research, and Platform teams to solve problems across the interface and underlying agent behavior.
- Turn broad product opportunities into focused releases, testing the most important assumptions early and using customer feedback and usage data to guide investment.
- Keep the experience simple as Harvey’s capabilities expand, making deliberate decisions about what to surface, what to automate, and where users need control.
WHAT YOU HAVE
- 7+ years of product management experience building user-facing products, ideally in consumer, prosumer, or product-led B2B environments.
- Experience making complex workflows intuitive, with examples of how you simplified an experience while preserving the capabilities users needed.
- Experience owning problems that span the user interface and underlying systems. You work with engineers to determine whether a problem requires a better interaction, a change in system behavior, or both.
- A track record of turning ambitious ideas into useful early releases, validating with users, and making clear decisions to expand, change direction, or stop.
- Evidence that you can learn an unfamiliar technical domain and take ownership of product decisions within it. Experience with AI or LLM-powered products is a plus
COMPENSATION
$213,600 - $300,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco, CA | New York City, NY
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 Partner Account Manager for AI-Native and Boutique SI Partners at Anthropic, you will own the relationship with a portfolio of our key AI-native and boutique systems integrator partners. These are the specialist services firms enterprises turn to when they want to design, build, and deploy production-grade AI with Claude, and they are among the fastest-moving partners in our ecosystem. Your job is to turn each of those relationships into a growing joint business: a shared plan, a healthy pipeline, and customers in production.
This is a commercial role first. You will build joint business plans with partner leadership, work with your partners' sales teams on live opportunities, team up with Anthropic's Partner Sales team to bring those partners into the right accounts, and keep a clear, accurate view of how each partner is performing. You will work closely with our Partner Sales, Partner Programs, Partner Support, Partner Activations, and Partner Success teams so your partners get the full value of what Anthropic offers, and you will bring what you hear from partners back to those teams.
This role reports to the Head of Boutique & AI-Native SIs and works closely with sales, product, and applied AI teams to make sure our SI partners are equipped to win and deliver transformative AI solutions for their clients.
Responsibilities
Partner Development and Go-to-Market
Own and manage relationships with a portfolio of key AI-native and boutique SI partners, from practitioners through to founders and executive leadership
Develop and execute joint go-to-market strategies that drive partner-sourced and partner-influenced pipeline
Lead partner business planning, including setting mutual goals, identifying target accounts, and defining success metrics
Work directly with your partners' sales teams to identify opportunities and support deal progression
Partner closely with Anthropic's Partner Sales team, who lead introductions and co-sell with our account executives and account teams, so your partners are positioned on the right accounts and opportunities
Run a regular operating cadence with each partner, including business reviews against the joint plan
Cross-Functional Partnership
Work hand in hand with Partner Sales as your primary go-to-market counterpart. You own the partner relationship and the joint business plan; Partner Sales works with Anthropic's sales leaders, account executives, and solutions architects to bring your partners into deals at the right time with clear roles, and owns co-sell execution and the partner-linked pipeline and forecast
Work side by side with Partner Success Leads on the partners you share. You own the overall partner relationship and the commercial plan; the Partner Success Lead owns each customer engagement from partner match to completed outcome, including delivery quality and the customer's Claude usage
Build executive-level trust with each partner's practice and delivery leadership together with Partner Success, so that when an engagement needs the partner to restaff, escalate, or invest, the ask is taken seriously
Align with Partner Success on how each partner's Claude practice is growing, including certified bench depth, a repeatable offering in a chosen industry lane, and published customer stories, and carry that into the joint business plan and go-to-market
Bring the commercial view to the quarterly practice reviews Partner Success runs with each partner, so the partner hears one set of joint goals across pipeline, completed engagements, customer adoption, and certified practitioners
Keep the handoffs clean: with Partner Sales when a partner deal closes, and with Partner Success when an engagement is matched to one of your partners, so both teams have what you know about the partner's strengths, capacity, and proof points
Work with Partner Programs to help your partners understand and progress through Claude Partner Network tiers, requirements, and benefits
Work with Partner Activations to bring your partners into the customer engagements where they can have the most impact
Work with Partner Support to get partner questions and issues resolved quickly, and to spot patterns worth fixing at the source
Work with Partner Enablement so partners have the training, certification pathways, and technical resources they need to build and deliver with Claude
Serve as the voice of your partners inside Anthropic, informing program, enablement, and product priorities
Partner Operations and Performance Tracking
Maintain accurate tracking of partner-sourced and partner-influenced revenue using our existing systems, tools, and processes, including deal registration and CRM discipline
Keep partner performance dashboards and reporting current, and use them to run partner reviews and internal updates
Follow our standard operating procedures for partner activities, and help keep them documented and up to date
Maintain partner data integrity and consistent measurement across your portfolio
Track KPIs for each partner and for the overall health of your portfolio
Assess partner contribution, engagement, and growth potential using established frameworks, and recommend where Anthropic should invest
Track and report the return on partner investments such as funding and enablement, and give Partner Success your recommendation on funding requests from your partners
Identify opportunities to improve how we work with partners and bring them to the teams that own those programs
You may be a good fit if you have
5+ years of experience in partner development, channel management, or partner management
Demonstrated success driving revenue through partners, with pipeline and bookings results you can point to
Experience working with systems integrators, consulting firms, or similar enterprise-focused services partners
Strong business acumen, with the ability to support deal progression and navigate complex partner relationships
A commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable asking a partner to invest in its own capability
Strong analytical skills, with experience tracking KPIs, working from dashboards, and using data to decide where to spend your time
Outstanding communication and relationship-building skills at all levels, from partner practitioners to founders and executives
A track record of working well across functions to get things done for partners without owning every team involved
Experience with CRM systems and partner relationship management tools
Comfort with ambiguity and a fast-changing environment
Low ego, high curiosity, and a habit of making the people around you better
Willingness to travel to support partner relationships and joint customer engagements
Strong candidates may also have
Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical
A background working at or with AI-native services firms, boutique consultancies, or systems integrators
An understanding of how boutique services firms run, including how they staff, price, and fund a new practice
An understanding of enterprise sales cycles and how partners influence complex, multi-stakeholder deals
Hands-on familiarity with Claude, Claude Code, and how enterprises build and deploy LLM applications
Experience at a high-growth company where the program was still being built
Passion for AI and an understanding of how enterprises are adopting AI technologies
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:
$215,000
—
$300,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
This is a second line leadership role where you will lead frontline managers, build a world class team, and own the regional Mid Market number for North America. You will be responsible for turning strong early traction into a repeatable, high performing got to market engine across legal and professional services.
We are still early. That means you will operate across altitudes, setting strategy, building structure, and staying close to the field on critical deals. You will help define how Harvey shows up in the North American market, shape our sales motion, and ensure we are delivering real value to customers adopting AI in high stakes competitive environments.
We are looking for someone who has led multi team segments, hired and developed high potential sales managers, scaled teams in ambiguity, implemented a rigorous sales playbook, and knows what great looks like in complex SaaS sales.
About the NAMER Mid-Market Segment
Mid Market at Harvey runs an “enter-lite” motion selling to law firms with 15–150 attorneys, including many of the most prestigious speciality and boutique firms in the world. . Reps own the full cycle, prospecting into net-new accounts, converting them, and driving expansion
You'll inherit a team of Mid Market Sales Managers and their AEs based across western NAMER and will be the primary owner of how that motion runs and scales across the region.
WHAT YOU'LL DO
- Hire, lead, coach and develop a team of Mid Market Sales Managers across North America driving accountability for net new logo and expansion ARR targets.
- Own and evolve the NAMER Mid-Market playbook end to end- ICP and segmentation criteria, qualification methodology (e.g., MEDDIC/MEDDPICC), deal stage definitions, discounting and deal desk guardrails, and forecasting cadence, so the motion is repeatable across every manager and AE in the region.
- Implement and maintain a rigorous sales operating cadence, including seller onboarding, enablement, coaching, pipeline generation, and deal execution.
- Drive the regional sales strategy, including territory design, coverage models, and go-to-market execution across the U.S. and Canada.
- Own NAMER mid market forecasting and pipeline health, providing accurate reporting to senior leadership.
- Hire, coach, and retain top managerial talent; build a strong leadership bench across the region.
- Partner with global mid market leadership (EMEA and APAC) to keep the playbook, methodology, and comp/accelerator structure consistent globally while localizing it for NAMER buyer behavior and legal market dynamics.
- Develop executive relationships with Harvey's highest value Mid Market customers across the region.
- Work cross functionally with marketing, solutions engineering, legal, and customer success to ensure a cohesive customer experience across the region.
- Represent NAMER mid market in global planning cycles, headcount discussions, and strategic initiatives.
WHAT YOU HAVE
- 10+ years of B2B tech sales experience, including 4+ years hiring, managing and developing sales managers or senior individual contributors.
- Demonstrated success leading a regional or multi market sales organization in a high-growth, early stage environment.
- Strong track record of selling complex software to enterprise or mid market clients using a consultative, value based methodology.
- Experience building or scaling a sales playbook : segmentation, qualification frameworks (MEDDIC/MEDDPICC or equivalent), territory design, and deal-desk processes, in a fast growing SaaS environment.
- Fluency with pipeline and forecasting rigor: accurate stage by stage forecasting, pipeline coverage ratios, and the discipline to hold managers accountable to them.
- Exceptional communication and executive presence, able to influence both frontline teams and senior stakeholders internally and within our key customers
- Genuine passion for Harvey's mission and a strong interest in how AI is transforming knowledge work and the legal profession.
COMPENSATION
$425,000 USD OTE 50/50
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-BL1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York, New York, United States
About the Role
iCapital is seeking an Assistant Vice President or Vice President Product Manager to join the Pre-Investment Product organization. This highly visible role will help shape the experiences and platform capabilities that enable the discovery, evaluation, research, and access of alternative investment opportunities. Operating at the intersection of Product, Engineering, Data, Operations, and Client Solutions, this individual will contribute to intuitive marketplace experiences and scalable solutions that support informed investment decisions. This role offers the opportunity to influence the continued evolution of the pre-investment experience while supporting future growth, product innovation, and platform expansion.
Responsibilities
Own the vision, strategy, roadmap, and execution for product discovery, research, diligence, and access capabilities across the iCapital platform.
Partner with internal stakeholders and external clients to identify business challenges and develop innovative solutions that improve the pre-investment experience and client satisfaction.
Lead large-scale cross-functional initiatives involving multiple teams, systems, and business processes while balancing tactical delivery with long-term platform strategy.
Manage the end-to-end product lifecycle from discovery through launch and continuous improvement, including prioritization, requirements definition, testing, rollout planning, adoption monitoring, and iterative enhancement.
Translate complex business workflows into intuitive user experiences by defining business requirements, user stories, process flows, acceptance criteria, business rules, and success metrics.
Partner with Engineering and Architecture teams to build scalable services that improve search, browsing, filtering, discovery, comparison, personalization, fund visibility, and product accessibility across the platform.
Develop a deep understanding of investment product data, user personas, and user journeys to enhance research and diligence experiences and support informed investment decisions.
Utilize qualitative and quantitative insights to improve user engagement, platform adoption, operational efficiency, and self-service capabilities for internal and external users.
Identify opportunities to leverage artificial intelligence, automation, and workflow optimization to simplify operational complexity and enhance product research, discovery, and investment decision support.
Communicate priorities, progress, risks, dependencies, and strategic decisions effectively to stakeholders and senior leadership.
Investigate production issues, identify root causes, and drive tactical resolutions and long-term improvements that create scalable foundations for future platform growth and innovation.
Qualifications
6–10+ years of product management experience within fintech, wealth management, asset management, investment technology, enterprise software, SaaS platforms, or related industries
Proven experience owning and scaling complex products from strategy and discovery through execution, launch, adoption, and continuous improvement
Demonstrated ability to independently lead large-scale, cross-functional initiatives
Experience building marketplace, search, discovery, recommendation, workflow, research, or data-driven products
Strong understanding of access management, entitlement frameworks, visibility rules, permissions, configuration-driven systems, or administrative platforms, including the development of scalable and transparent access capabilities
Able to model complex business domains and translate business concepts into logical entities, relationships, workflows, business rules, and scalable platform capabilities
Experience creating or reviewing domain models, process flows, user journeys, workflow diagrams, system interactions, and business architecture artifacts
Knowledge of technical tradeoffs and proven ability to contribute meaningfully to discussions involving APIs, integrations, platform architecture, scalability, data models, and system design
SQL proficiency and comfort working directly with data to investigate issues, validate assumptions, measure outcomes, and inform product decisions
Strong analytical and problem-solving skills with the ability to navigate ambiguity and make informed decisions
Exceptional communication, organization, and stakeholder management skills, including experience working directly with executive leadership, clients, business partners, and engineering teams
Familiar with alternative investments, advisor platforms, broker-dealer ecosystems, RIAs, wealth management workflows, or investment product distribution is strongly preferred
Experience with modern product, technical, and collaboration tools, including Jira, Confluence, Figma, analytics platforms, API development tools, AI productivity tools, and data visualization solutions
Benefits
This position may be filled at either the Assistant Vice President or Vice President level, depending on the selected candidate’s experience and qualifications.
The base salary range for the AVP role is $
120,000 to $150,000 and the range for the VP role is $150,000 to $185,000.
iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
X: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
ГибридParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ОфисseniorUK, London
ГибридseniorBerlin
Bangalore, India; Experience working effectively in distributed, all-remote teams: you default to asynchronous, written-first communication, document decisions in issues and merge requests, hand off work cleanly across time zones, and stay transparent about progress and blockers
seniorBangalore, India
ГибридleadГеография найма не уточнена
УдалённоseniorRemote - United States
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA
УдалённоseniorNetherlands; Mexico; Israel; United Kingdom; Portugal
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
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