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; Delhi, India; Mumbai; India - Remote
Workplace: remote
Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM.
We are looking for a Senior Compiler Performance Engineer to own major performance areas of Falcon. This is not a compiler front end role and not a compiler built from scratch: Falcon is mature and runs in production at large enterprises. Your job is to push its generated code further, deciding which optimizations matter, designing them and delivering measurable speedups on real workloads.
You will work in a distributed team of compiler experts, with direct influence on what Falcon optimizes next.
What You Will Do (aka Responsibilities)
Own performance of Falcon for a set of workloads or an optimization area end to end: analysis, design, implementation, validation
Design and implement new optimizations and improve existing ones in the middle end and back end: inlining heuristics, loop optimizations, vectorization, escape analysis, speculation and deoptimization, GC barrier and runtime call optimization
Drive code generation quality on x86_64 and AArch64, including bringing Falcon to new hardware platforms
Investigate complex performance issues reported by customers and turn findings into compiler improvements
Review code, mentor engineers on the team and raise the bar for performance methodology
Contribute to upstream LLVM where it makes sense
What You'll Bring (Experience, Skills)
5+ years of professional experience developing optimizing compilers or JIT compilers
Strong C++ design and coding skills in large codebases
Proven track record of delivering compiler optimizations with measurable performance impact
Deep knowledge of compiler optimization theory and its practical tradeoffs: compile time, code size, correctness
Strong performance analysis skills: profilers, hardware counters, reading and reasoning about generated assembly
Nice to Have
Significant experience with LLVM optimization passes or code generation; LLVM commit access is a plus
Experience with JIT compilers for managed languages: HotSpot C2, Graal, V8, .NET RyuJIT or similar
Deep knowledge of x86_64 and/or AArch64 microarchitecture
Experience with JVM internals: garbage collection, deoptimization, profiling
PhD in Computer Science or significant research experience in compilers
УдалённоseniorBangalore; Delhi, India; Mumbai; India - Remote
Location: Москва
Мы развиваем направление на стыке количественных финансов, управления рыночными рисками и агентного ИИ в крупнейшем банке страны. Наша команда создаёт интеллектуальные системы для анализа торговых алгоритмов, моделирования финансовых рынков и поиска оптимального баланса между доходностью и риском.
Ищем специалиста, которому интересно самостоятельно исследовать новые подходы, проверять гипотезы и превращать сложные математические идеи в работающие AI-продукты. У нас ты сможешь сочетать quantitative research с разработкой автономных AI-агентов, влиять на технологические решения и решать нетривиальные задачи, от которых напрямую зависит эффективность и устойчивость торговых стратегий Сбера.
Обязанности
* разработка и развитие AI-агента для анализа изменений в коде торговых алгоритмов: agentic workflows, инструменты, память, маршрутизация и механизмы самопроверки; повышение качества и автономности агента
* стохастическое и AI-моделирование финансовых рынков для стресс-тестирования торговых алгоритмов
* анализ и оптимизация risk/return торговых алгоритмов, подготовка количественно обоснованных рекомендаций
* разработка и внедрение моделей и метрик рыночного риска
* экспертная и аналитическая поддержка пользователей риск-моделей.
Требования
* образование в области точных наук - математика, физика, финансовая математика, численные методы и др. (например, матфак ВШЭ, мех-мат/физфак/вмк МГУ, РЭШ, МФТИ)
* практический опыт разработки AI-агентов на Python и LangGraph: stateful-графы, tool calling, контекст и память, planning loops, self-check / self-correction
* уверенное владение теорией вероятностей, математической статистикой, стохастическими процессами и дифференциальными уравнениями
* умение переводить математические идеи в работающий код (например на Python)
* опыт самостоятельного quantitative / ML / AI research: постановка гипотез, моделирование финансовых рынков и временных рядов, работа с рыночными данными, валидация и интерпретация моделей
* английский язык на уровне, достаточном для свободного чтения профессиональной литературы и документации.
Будет плюсом
* профильные сертификаты и курсы в области quantitative finance / risk management: WQU, CQF, FRM, PRM и др
* опыт разработки финансовых моделей и торговых алгоритмов
* опыт работы с рыночным риском
* опыт применения Machine Learning к финансовым данным.
Условия
* комфортный современный офис рядом с м. Кутузовская
* офисный / гибридный формат работы
* ежегодный пересмотр зарплаты и годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера.
Location: India
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
This role partners directly with enterprise customers building and deploying conversational agents on the ElevenLabs Agents Platform. The focus is hands-on execution - advising on agent design, personas, conversation flows, tool integrations, and voice customisation to deliver clear business outcomes in production environments.
You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale.
In parallel, you will own expansion outcomes across a defined portfolio of enterprise accounts. Success is measured by net revenue retention and sustained multi-product adoption. You will identify expansion opportunities, drive cross-sell through deeper agent usage, and partner with Sales, Engineering, and Account Managers to convert technical success into durable revenue growth and long-term customer commitment.
Requirements
- 7-11 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in India
- Familiarity and experience with building and deploying AI agents
- Familiarity and experience with API Integrations, and comfort and knowledge of navigating SDKs
- Proven experience driving revenue outcomes, including owning a revenue quota and identifying, qualifying, and closing cross-sell opportunities
- Excellent problem-solving, technical, and analytical skills to address customer needs and concerns
- Strong communication and interpersonal skills, with the ability to build and maintain relationships with customers at all levels of an organization
- Strong understanding of the Indian market landscape and cultural nuances
- Self-motivated and able to work independently in a remote or distributed team environment
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten has emerging co-sell relationships with multiple strategic marketplaces and clouds, including OpenAI https://www.baseten.co/talk-to-us/openai/?utm_source=google&utm_medium=paid_search&utm_campaign=acquisition_ICA-OpenAI-Partnership_2026-09-30&utm_term=baseten%20openai&utm_campaign=Search+-+Models&utm_source=adwords&utm_medium=ppc&utm_id=24316507588&hsa_acc=9990356727&hsa_cam=24316507588&hsa_grp=199416272086&hsa_ad=826599669780&hsa_src=g&hsa_tgt=kwd-2504168645905&hsa_kw=baseten%20openai&hsa_mt=e&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=24316507588&gbraid=0AAAAAqCKh1tZ-ESp-CbtgHnyoj6pkRZGL&gclid=CjwKCAjw56zWBhB0EiwAdPOQOTzW3Bhx_UxkJI6XA8gB1rqClDpNVWFQtTzWlO0RBCV5Xx_yB54yDxoCcd4QAvD_BwE, NVIDIA and other Hyperscalers, Model Labs, and Data Platforms. The task at hand is to enable and activate partner sellers and to ensure that our internal field teams are well-supported to work successful with partner teams.
As Baseten’s Partner Enablement Lead, you'll turn each partnership into a repeatable field motion. You'll work out why a partner account executive should care about Baseten, which of their customers are a fit, and what joint execution looks like. Then you'll co-build what it takes for sellers on both sides to run that play: the value proposition, the account mapping, the talk tracks, the training, and the relationships with partner field leaders.
As always, the work starts with earning partner attention. This is a strategic, hands-on role for an ecosystem GTM operator who peaks in enablement. Your work will include deep cross-functional collaboration, instructional design, content development, and training delivery. You won't own partner-sourced pipeline directly, but you will make those who do much more effective.
Our partnerships span Hyperscalers, Model Labs, Semiconductors, Consulting and Systems Integrators, and Data Platforms. While much of what partner enablement looks will be in your hands to define, it will include getting in front of field sellers, developing co-sell opportunities, and driving adoption of marketplace incentives for customers to buy Baseten against the commitments they already have.
You'll report to the Head of GTM Enablement & Productivity and work closely with our Partnerships, Sales, FDE, Marketing, and RevOps teams.
WHAT YOU'LL DO
Design the joint go-to-market motion with strategic partners
- Build a working picture of each partner's field: seller roles, how they're paid and measured, what makes them bring in a third party, and what gets in the way.
- Define joint value propositions, customer triggers, and target segments in partnership with our alliance leads and sales & revops leadership.
- Turn those into co-sell plays with clear entry points, owners, and next steps for both sides.
- Run account mapping with partner teams so the plays land on specific accounts, not just slides.
Activate partner field teams
- Activate partner sellers and their managers to be aware of Baseten, confident in when to pull us in, and motivated to do so.
- Build relationships with partner field leaders, partner development managers, and ISV teams so enablement reaches the sellers who matter.
- Plan and run activations by region and segment: field briefings, account planning sessions, joint office hours, and events alongside our partnerships team.
- Teach both sides how marketplace and co-sell mechanics work, so those programs make deals simpler and faster to execute.
Enable Baseten's own sellers on partner motions
- Make sure our AEs, SAs, and FDEs know how to work a partner-sourced or co-sell deal: how to engage the partner rep, how attribution and credit work, and which plays to run.
- Build or collate the playbooks, demos, and certifications our team needs, and keep them current as each partnership changes.
- Bring partner content into our onboarding and GTM Academy so new hires learn the partner motion from day one.
Measure and evolve programs
- Define how we measure activation: trained and engaged partner sellers, joint account plans, co-sell opportunities registered, and partner-influenced pipeline.
- Work with RevOps on the operational side of partner programs, including deal registration, marketplace private offers, and POC and MDF requests.
- Report monthly to GTM leadership on what's working, what isn't, and advise on where to invest next.
WHAT WE'RE LOOKING FOR
- 5+ years in partner or alliance GTM, partner enablement, or field GTM at a cloud, data, AI, or infrastructure company.
- Hands-on experience activating co-sell with at least one hyperscaler or major platform partner (Microsoft, AWS, Google Cloud, NVIDIA, or similar).
- You think in pipeline and seller behavior as well as in curriculum. You can explain a joint motion end to end, from partner incentives to the first customer meeting.
- Enough technical depth to be credible with SAs and engineers on both sides. You don't need to be an ML engineer, but you should be comfortable learning inference, model serving, and GPU and token economics quickly.
- You want to build: the play, the deck, the training, the measurement plan. You don't stop at the framework.
- Comfortable working across teams you don't control, inside Baseten and inside partner organizations much larger than ours.
Strong candidates may come from a mix of backgrounds such as:
- Cloud alliances or partner GTM at a data or infrastructure ISV that co-sells with the hyperscalers.
- ISV, partner development, or marketplace roles inside a hyperscaler or NVIDIA.
- Partner enablement leadership at a technical company, with a track record tied to pipeline rather than training volume.
- A partner-facing SA or SE who moved into enablement or GTM strategy.
NICE TO HAVE
- Experience with Microsoft co-sell programs, Azure Marketplace, or NVIDIA's partner and ISV programs.
- Experience at an AI infrastructure, model provider, or developer platform company.
- Built a partner function or partner enablement program from scratch at a growth-stage company.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload.
Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far.
Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers.
As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk.
EXAMPLE INITIATIVES
- How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/
- Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts
- Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived
RESPONSIBILITIES
Team Leadership and Culture
- Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise
- Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence
- Provide regular coaching, feedback, and career development support to your direct reports
- Own on-call health for the team’s services, including escalation paths and follow-through on incidents
Technical Direction
- Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events
- Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them
- Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files
- Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on
- Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network
- Review designs and code across the area, and take on hands-on work where it unblocks the team
- Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team
Cross-Functional Partnership
- Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need
- Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs
- Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on
- Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability
- Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership
REQUIREMENTS
- Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management
- Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure
- Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions
- Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts
- Understanding of how container images are structured, stored, and delivered at scale
- Strong written and verbal communication skills, with the ability to influence without authority across teams
NICE TO HAVE
- Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects
- Familiarity with lazy-loading snapshotters or peer-to-peer image distribution
- Experience with EROFS, FUSE, ublk, or io_uring
- Experience building or operating CDN, object storage, or large-scale caching infrastructure
- Experience running storage services on Kubernetes
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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: Austria; Switzerland; Spain; Portugal; Germany; Serbia
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Role Type: Full-time
Engagement: Independent Contractor
About the company
Our client is a high-growth sales acceleration partner specializing in outsourced sales development and lead generation for complex B2B sectors, including FinTech, HealthTech, and Manufacturing. With over 13 years of experience, the team serves ambitious mid-market and enterprise brands across the UK, Europe, and North America. They empower global businesses to scale revenue through a consultative, data-driven methodology that blends expert human outreach with a cutting-edge sales technology stack.
The team operates with a mission to transform stagnant pipelines into sustainable growth, utilizing native-language experts to bridge international markets. Driven by a culture of continuous development and performance-based results, they prioritize high-level C-suite engagement and measurable ROI. Candidates will join an environment that combines start-up energy with enterprise-level maturity, focusing on innovation, professional sales skills, and a "selling at a higher level" mindset to solve complex acquisition challenges for world-class brands.
Job Summary
Are you a fluent German speaker with a passion for driving high-level business growth? This is an opportunity to join a well-established leader in the outsourced sales sector with over 15 years of proven success. You will act as a strategic partner for clients, identifying new business opportunities and opening doors within complex industries. If you are a driven professional looking to master the art of sales development within a highly structured and supportive environment, this role offers the perfect platform for your career to thrive.
Key Responsibilities
Conduct high-volume outbound prospecting, averaging 50 calls per day to engage key decision-makers.
Research and identify new business opportunities within the German-speaking (DACH) region.
Secure a minimum of 10 qualified outbound opportunities per month to fuel the sales pipeline.
Maintain meticulous records and manage your lead pipeline using Salesforce.
Collaborate with internal teams to refine messaging and optimize sales methodologies.
Requirements
Native or professional fluency in German (both written and verbal).
High level of English proficiency.
A minimum of 2 years of experience in B2B sales or a dedicated SDR role.
Proven ability to thrive in a target-driven environment.
Strong communication skills and a professional phone manner.
Ability to work UK/EU business hours (9:00 AM – 5:00 PM).
Nice-to-Haves
Prior experience selling within the Manufacturing or Engineering sectors.
Familiarity with the Salesforce ecosystem.
Experience working within an agency or outsourced sales environment.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Yerevan, Armenia
We are looking for a dynamic, high-performing and experienced English and Turkish speaking Account Manager to join our team. If you are customer-oriented with a ‘can do’ attitude, proactive and passionate about our company products, this position is for you.
Our ideal candidate has a drive for achieving goals and maintaining a great customer experience. You should be resourceful, analytical, adaptable, and organized with the ability to build rapport with clients. You will act as a main point of contact for our partners with a key focus on account growth, partner satisfaction and prioritization of partners’ needs at a high standard. You will maintain and strengthen long-term, trusting and mutually beneficial relationships with our partners, connect with key business executives and stakeholders, identify and develop new business opportunities. Ultimately, you should collaborate with our sales team to achieve quotas while keeping our partners satisfied & engaged with our products and services in the long run.
Responsibilities:
• Build, develop & maintain strong, long-lasting and trusted advisor relationships with our partners, stakeholders & sponsors
• Act as a primary point of reference and business consultant for assigned partners through email, phone, online presentations and
in person meetings
• Communicate with partners at a senior level to resolve issues and inquiries
• Adhere to the highest professional standards while managing partners’ projects
• Collaborate with the Sales team to onboard and integrate new partners, develop existing relationships
• Focus on ensuring we maintain superior customer service levels, operational excellence and strategic insight
• Manage projects within client relationships, carry out client goals while meeting company goals
• Drive client retention, renewals, upsells and client satisfaction
• Identify and develop new businesses, existing business growth opportunities with our partners and/or identify areas of improvement
• Manage partner’s challenging requests and/or issues escalation to appropriate departments
• Actively communicate with relevant departments, ensure the timely and successful delivery of solutions according to partners’ needs and objectives
• Resolve complaints and prevent additional issues by improving processes
• Monitor and analyze customer’s usage of our product
• Collect and analyze data to learn more about partners’ behavior
• Forecasts and tracks client account metrics
• Feeding back all suggestions for improvement and market research to senior staff
• Stay up-to-date with company products and services, identify industry trends
• Provide input on new processes and workflows as needed
• Update knowledge by participating in educational opportunities, reading professional publications, maintaining personal networks, participating in professional organizations
Requirements:
• At least 2+ years of proven account management, sales, or business development experience in the industry
• Advanced knowledge of Armenian language & excellent knowledge of Turkish/English languages (Russian will be a plus)
• Demonstrated ability to communicate, present and influence effectively at all levels of the organization
• Experience in delivering client-focused solutions based on customer needs
• Proven ability to manage multiple projects at a time while paying strict attention to details
• Excellent listening, negotiation and presentation skills
• Excellent verbal and written communications skills
• Self-motivated individual with the ability to thrive in a results-driven environment
• Ability to work under high pressure & Ability to prioritize among competing tasks
• Natural relationship builder with integrity, reliability and maturity
• Critical thinking and problem-solving skills
• Excellent time and project management skills
Location: US, Boston, MA
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
As a Senior Electrical Engineer on the Hardware team in Boston, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—from electrical system designs, electromechanical integrations, PCB layouts, firmware and device programming, to hands-on debugging in the lab. Your work will span from small test systems to fully integrated prototype robots, and provide you with a unique opportunity to have a big impact.
WHAT YOU’LL DO
- Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems.
- Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems.
- PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics.
- Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance.
- Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation.
- Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges.
- Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance.
WHAT WE'RE LOOKING FOR
- Experience with high-speed data technologies such as PCIE, Ethernet, EtherCAT and/or other communication protocols in PCB-based devices and systems.
- Experience developing power regulation and distribution systems, including particular expertise with short-circuit protection systems, switching power supplies, and creative power management technologies.
- Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout.
- Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs.
- Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers.
- Experience with Python, C++, LabView, or MATLAB for automation and testing.
- Knowledge of SolidWorks or similar mechanical CAD tools.
- Familiarity with Verilog or VHDL for hardware design and simulation.
- Experience in building Linux kernels and modifying or writing device drivers.
Please note: few people will check every single box. If you’ve got solid electrical engineering fundamentals and strengths in some of these areas, we’d love to hear from you!
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Generous time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with a 4% employer match.
- Meaningful equity with upside as we scale
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
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: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences.
WHO WE ARE LOOKING FOR
Everyone at Higgsfield is an A-player. We're looking for a Korean-speaking scriptwriter who:
- Thinks natively in Korean and writes with real wit, not translation. Has strong instincts for hooks, humor and storytelling.
- Lives online: knows Korean trends, memes, K-content and creator culture.
- Moves fast, takes feedback well and lets data guide rewrites.
- Takes extreme ownership in a fast-paced startup environment.
WHAT YOU WILL WORK ON
- Writing original scripts and hooks in Korean for YouTube, Shorts, Reels and TikTok.
- Adapting winning English formats for Korean culture, trends and humor (transcreation, not translation).
- Covering AI tools, tutorials, model comparisons and educational content for the Korean audience.
- Pitching bold creative concepts for ads, AI-video showcases and viral formats.
- Turning research, trends and product updates into clear, structured video scripts.
- Rewriting and improving scripts based on watch time, CTR and engagement data.
- Building a library of reusable Korean script templates and hook formulas.
- Working with Growth Researchers, Video Editors and Creative Directors in Russian and English.
YOUR MUST-HAVES
- Korean: TOPIK 5–6 or native-level fluency, with the ability to write natural, witty copy. Russian: native or fluent (our internal working language).
- English: IELTS 6.5+ or equivalent.
- Experience writing for social media, YouTube, advertising or entertainment. A portfolio or examples of scripts, posts or videos you've written.
- Knows how to intergrate AI into the narrative
NICE TO HAVE
- Experience creating content for Korean audiences.
- A degree from a Korean university, or experience living and working in Korea.
- A background as a screenwriter, journalist, blogger or content creator.
- Experience with AI tools for video or text generation.
THIS ROLE IS NOT A FIT IF YOU
- Want to do literal translation rather than creative writing.
- Prefer theory over execution.
- Avoid feedback or rewriting.
- Don't follow trends, AI tools or social media.
THE DEAL
- Competitive salary in USD.
- On-site role in our Almaty office (we will relocate you from anywhere).
- Full-time position.
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, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Notion sits at a rare intersection: a product people love, a flexible system businesses run on, and a new platform for people and AI to work together. We’re hiring a Product Manager to turn that opportunity into products that feel inevitable. You’ll find consequential customer problems, set a bold but grounded strategy, and build alongside design, engineering, data science, research, and go-to-market partners. This is a high-agency role for someone excited to shape what Notion becomes next—and make powerful new capabilities feel simple, trustworthy, and delightful to millions of customers.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Uncover the customer problems and product opportunities that will define Notion’s next chapter, then turn them into a focused strategy and roadmap.
- Take ambitious ideas from first principles to launch, building closely with design and engineering to create experiences that feel simple, useful, and distinctly Notion.
- Make the hard calls—balancing customer impact, business opportunity, technical complexity, speed, and long-term product quality.
- Shape how AI changes both the product and the way we build, using it to improve research, decisions, experimentation, and execution.
- Raise the bar for product thinking across the team by creating clarity, accelerating learning, and establishing principles and success measures that endure.
SKILLS YOU'LL NEED TO BRING:
- Demonstrated ability to identify meaningful customer problems and turn them into products that are intuitive, useful, and built with a high level of craft.
- Strong product judgment and the ability to make sound tradeoffs among user experience, business impact, technical complexity, quality, and speed.
- A track record of moving ambiguous, cross-functional work from problem definition to shipped outcomes while creating clear ownership and alignment.
- Customer depth: you can learn directly from users across segments and translate differing needs into a coherent strategy rather than a collection of one-off requests.
- Practical AI fluency: you use AI to sharpen research, product thinking, decisions, and execution, and you’re excited to rethink how people and agents work together.
NICE TO HAVES:
- Experience building collaborative, productivity, or AI-powered products used by a broad range of customers.
- Experience operating across both zero-to-one product development and the improvement of products at scale.
- Technical fluency and comfort partnering deeply with engineering on complex product systems.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $238,000 - $250,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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.
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