Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life.
WHOOP is hiring a Senior Lead, DTC Commercial Planning & Strategy to drive the commercial operating rhythm and revenue forecasting for the Direct-to-Consumer business. This role will serve as a key partner across Growth, Performance Marketing, Finance, Supply Chain, and Marketing Analytics to build out the commercial operating system of the DTC business (planning, forecasting, performance management, prioritization, and executive reporting). The ideal candidate combines strategic thinking with operational excellence, using data and cross-functional influence to translate ambitious goals into measurable business outcomes.
RESPONSIBILITIES:
- Own the commercial planning and forecasting process for the DTC business, developing annual, quarterly, and monthly revenue plans that align cross-functional teams around key growth initiatives and company objectives.
- Partner with Growth Marketing, Marketing Analytics, Finance, and Supply Chain leaders to evaluate business performance, identify opportunities, and prioritize strategic investments that maximize revenue and member growth.
- Develop and present business reviews by translating complex quantitative analyses and qualitative insights into compelling, data-driven narratives that clearly communicate DTC performance, key risks, opportunities, and strategic recommendations to senior leadership.
- Lead the DTC business operating cadence, including business reviews, forecasting, executive updates, and performance reporting, ensuring leaders have clear visibility into priorities, risks, and opportunities.
- Develop actionable insights through quantitative analysis, customer trends, and market dynamics to inform commercial strategy, pricing, promotional planning, and go-to-market decisions.
- Drive cross-functional initiatives from strategy through execution, aligning stakeholders, resolving ambiguity, and ensuring accountability for key deliverables across multiple teams.
- Continuously improve commercial planning processes, decision-making frameworks, forecasting methodologies, and operational tools to increase organizational effectiveness and scalability.
QUALIFICATIONS:
- 8+ years of experience in strategy, commercial planning, business operations, consulting, finance, or related functions, with meaningful experience supporting high-growth consumer technology or subscription businesses.
- Demonstrated ability to develop business strategy while driving operational execution across complex, cross-functional organizations.
- Exceptional analytical and financial modeling skills with experience using data to influence executive decision-making and prioritize business investments.
- Proven experience leading planning processes, forecasting, business reviews, or commercial operating cadences with senior stakeholders.
- Strong executive communication and presentation skills, with the ability to distill complex analyses into clear recommendations for diverse audiences.
- Highly organized with exceptional project management skills and the ability to manage multiple strategic initiatives simultaneously in a fast-paced environment.
- Experience influencing cross-functional teams without direct authority, building strong partnerships through collaboration, credibility, and thoughtful leadership.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Remote, Canada; Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
GitLab is building the most comprehensive AI-powered DevSecOps platform, and this role will help shape how teams move from planning to code in an AI-native software development lifecycle.
As Senior Product Manager, Source Code, you'll shape how planning and managing source code will evolve in an AI-native software development lifecycle. This role is focused on bringing planning and code closer together, so teams can move from requirements and specifications to commits, merge requests, and customer value with speed and quality.
This area is evolving quickly. We're exploring how AI agents can use specifications, context, and human feedback to build the right thing, not just build the thing right. You'll define new product experiences for spec-driven, human-in-the loop development: how the link between planning intent and the code that implements it gets created, stays accurate as both change, and gets used at review time. The hard part is that this link decays. Code moves, specs might not follow, you will define how to make that connection self-maintaining.
This is an ambiguous, high-impact opportunity for a product manager who has strong software development lifecycle knowledge, is comfortable working with technical teams, and wants to help create something new in DevSecOps.
What You’ll Do
Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development.
Shape workflows where teams and agents move between intent and code in both directions, so a specification can be traced to the merges that implement it and a diff can be read and reviewed against the intent behind it.
Work with engineering, design, and other product teams to build product experiences that support human-in-the-loop and autonomous development workflows.
Partner with teams working on demos and prototypes, including near-term work around spec-driven planning and autonomous development modes, including which decisions stay with a human and why.
Use customer insights, product usage data, and market context to identify opportunities that can deliver customer value quickly.
Help teams ship fast with quality, balancing near-term execution with longer-term product direction.
Explore how planning can better account for reviewing code, reviewing test cases, and validating that work produced by agents matches the intended outcome.
Collaborate across Plan, Source Code Management, Code Review, and AI product areas to reduce friction across the software development lifecycle.
What You’ll Bring
Experience as a product manager working on developer tools, DevOps tools, source code management, planning tools, AI-native products, or related software development lifecycle products.
Direct, hands-on experience with the source code lifecycle, including branches, merge requests, code review, CI/CD, and releases, whether as a product manager or as an engineer, along with a strong understanding of how software moves from ideas and requirements through planning, coding, review, testing, and delivery.
Experience working with technical product areas and engineering teams, with enough technical depth to understand developer workflows and tradeoffs.
A data-forward approach to product management, including experience using data to identify customer impact and guide prioritization.
Comfort operating in ambiguous spaces where there may not yet be a clear market pattern or established product category.
Experience building or shipping with AI tools and agents, not just using them, and a point of view of your own on where AI helps and where it does not across the software development lifecycle.
Ability to think creatively about how AI changes the software development lifecycle and how product experiences should adapt.
Strong collaboration and communication skills, especially in an all-remote, asynchronous environment.
A bias toward action and the ability to help teams ship meaningful customer value quickly.
About the team
This role sits within the Product organization and will work closely with teams across Plan, Source Code Management, Code Review, and AI. We are focused on helping GitLab customers plan, build, and deliver software in a faster, more connected way.
You'll join a group that is rethinking how planning and coding should work as AI changes the speed and shape of software development. Rather than treating planning, coding, and review as separate stages, we're exploring how to bring these workflows closer together so humans and agents can collaborate more effectively.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$235,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Mexico City
Workplace: Remote
THE ROLE
We're looking for a Solutions Architect to serve as the primary technical partner for our prospects and customers. You'll work hand-in-hand with Sales throughout the full lifecycle: qualifying technical requirements, designing and proving out architectures, running proofs of concept, and guiding customers from first evaluation through to production at scale. You'll be the trusted technical voice in the room, translating ClickHouse's architecture and capabilities into solutions that solve real business problems.
WHAT YOU'LL DO
- Act as the technical advisor for prospects and customers evaluating or scaling ClickHouse, from discovery through production deployment.
- Design reference architectures, data models, and ingestion/query patterns tailored to each customer's use case, scale, and existing data stack.
- Own and run technical proofs of concept and benchmarks, demonstrating ClickHouse's performance, scalability, and cost advantages against incumbent solutions.
- Partner closely with Account Executives to build technical account strategy, navigate procurement/security reviews, and close complex deals.
- Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual engineers to VP/C-level stakeholders.
- Advise customers on schema design, query optimization, cluster sizing, replication, and migration strategy from other databases (e.g., Postgres, Elasticsearch, Snowflake, Druid, Spark).
- Serve as the voice of the customer internally, feeding product and engineering teams structured feedback on gaps, feature requests, and competitive positioning.
- Build reusable assets, demos, and technical content (blog posts, reference architectures, sample apps) that scale your impact across the field team.
- Contribute to team best practices, tooling, and onboarding materials.
WHAT WE'RE LOOKING FOR
- Experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Data Engineer, or Technical Consultant, ideally at an infrastructure, database, or analytics company.
- Deep hands-on experience with SQL and analytical/OLAP databases (ClickHouse, Snowflake, BigQuery, Druid, Vertica, Redshift, or similar); ClickHouse experience is a strong plus.
- Strong understanding of distributed systems fundamentals: partitioning, replication, consistency trade-offs, and query execution at scale.
- Comfort working across the modern data stack, including streaming systems (Kafka), orchestration tools, BI tools, and cloud infrastructure (AWS, GCP, or Azure).
- Ability to run and win technical evaluations against competitive alternatives, with a track record of influencing buying decisions.
- Excellent communication skills, able to flex between whiteboarding with engineers and presenting business value to executives.
- Self-starter who thrives with ambiguity and enjoys being both hands-on with technology and directly responsible for revenue outcomes.
- Willingness to travel periodically for customer visits, conferences, and team events.
NICE TO HAVE
- Direct experience deploying or administering ClickHouse in production.
- Experience with real-time analytics, observability, or large-scale event/log data use cases.
- Contributions to open-source data infrastructure projects.
- Prior experience at an early-stage or hypergrowth startup.
WHY CLICKHOUSE
- Work with one of the fastest-growing open-source projects and databases in the industry, at the center of the real-time analytics category.
- Join a technically excellent, customer-obsessed team that ships fast and takes ownership.
- Competitive compensation, equity, and benefits, with a remote-friendly, distributed culture.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
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
Anthropic's enterprise business is growing fast, and the systems that turn a closed deal into recognized revenue are scaling to keep up. Quote-to-cash spans configure-price-quote, contracting, order management, provisioning, billing, and revenue recognition, and the work to evolve it crosses engineering, GTM systems, finance, legal, and operations teams.
We're looking for a Technical Program Manager to own the planning and execution rhythm across these teams, drive the highest-priority cross-team programs end to end, and give leadership a single coherent view of priorities, dependencies, and progress.
Responsibilities
Build and run the cross-team planning and operating cadence for quote-to-cash: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for engineering and finance leadership
Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across engineering, GTM systems, deal desk, order management, accounting, and legal
Own the SOX readiness program for quote-to-cash systems: gap closure, control design and evidence collection, and coordination with internal audit
Manage technical dependencies across the stack: CPQ, contract data model, provisioning automation, billing platform, and the integrations between them
You may be a good fit if you
Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments
Have technical depth in enterprise systems integration: CPQ, ERP, billing, and provisioning platforms, the data flows between them, and the tradeoffs between configuring SaaS and building custom
Have run compliance or audit-readiness programs (SOX, SOC, or similar) and understand how control design, evidence collection, and engineering delivery fit together
Can build trust with engineers, finance and accounting partners, sales operations, legal, and executives, and translate between them
Thrive when the operating model itself is still being defined and see shaping it as part of the job
Strong candidates may also have
Background in revenue operations, order-to-cash, billing platform, or finance systems product management
Familiarity with Salesforce CPQ, contract lifecycle management, or marketplace provisioning (AWS/GCP/Azure)
Deadline to Apply:
None, applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Staff Software Engineer, Backend to join our Reverse ETL product engineering team.
Formerly Census, we were acquired in May 2025 to augment Fivetran’s warehouse-first data movement product story. Now we’re integrating our entire product directly into the Fivetran dashboard, bringing best-in-class data activation to every Fivetran customer.
As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – authentication, billing, data model, UI and more. You’ll be a senior member of a distributed, collaborative, agile team of engineers of varying experience levels and diverse backgrounds.
This is a full-time position based out of our Toronto or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration.
Technologies You’ll Use
Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)
Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)
Familiarity with leading cloud providers, such as GCP, AWS, or Azure
Experience being on-call
What You’ll Do
Make contributions to all parts of our tech stack, which comprises Ruby on Rails, Typescript, Vue, and AWS.
Be comfortable “filling in the gaps” in product / design specs. The prospect of being able to prototype to test ideas out before committing to building is exciting to you.
Work closely with our product team, leaders, and customers to help design and develop features that make Fivetran the one-stop shop for data activation.
Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones.
Lead major projects, from driving research spikes, to writing and socializing design documents, to planning the implementation and rollout
Skills We’re Looking For
Can build things end-to-end. Our engineers build, deploy and maintain their code.
Is adept with data, backend systems, APIs, and UI components.
Is customer-focused, with an eye for building delightful product experiences and developer experiences.
Approaches new problems with a scrappy optimism, with a bias towards action.
Thrives in ambiguous environments where you get to work directly with customers and make decisions that build trust and have a huge impact on the business.
Present and available online for synchronous and asynchronous collaboration with a team distributed across North America.
Able to work in-person in our Toronto/Oakland office 2 days per week.
This role represents new headcount added to the team to support continued growth and expansion of capabilities.
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$167,548
—
$209,435 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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
Anthropic is growing fast, and recruiting is one of the highest-leverage functions in the company. We’re constantly investing in systems and processes to support our rapid scale and enable our recruiters and hiring teams to be more efficient. The current technology stack is built and operated by several teams across third-party platform configuration, custom internal tooling, analytics and forecasting, core people systems, and an AI tooling layer.
We're looking for a Technical Program Manager to own the planning and execution rhythm that connects these teams, drive the technical interconnection of the systems, and give Recruiting leadership a single coherent view of priorities, dependencies, and progress.
You’ll help evolve how recruiting functions through the use of Claude, connecting that work to where the broader company is going. That includes building the bridge between recruiting and company-wide roadmap and headcount planning so we're staffing proactively rather than reacting.
This is a first-of-its-kind role at Anthropic. It sits within the centralized Technical Program Management organization and partners directly with Recruiting and People leadership. Part of the job will be to help us figure out the right long-term model for TPM support for the People org.
Responsibilities
Build and run the cross-team planning and operating cadence for recruiting technology: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for Recruiting leadership
Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across teams that don't share a reporting line
Lead the technical interconnection work: integration across third-party platforms, internal custom tooling, and the data and analytics layer so information flows cleanly end to end
Partner with engineering and AI teams to bring Claude deeper into the recruiting workflow, balancing speed of adoption with the controls and human-in-the-loop design that make it trustworthy
Connect recruiting to company-wide planning: build the link to roadmaps across the business so headcount needs are visible early and recruiting can staff proactively
Own build-vs-buy and vendor evaluations where they cross team boundaries, including the security, contract, and integration tradeoffs that come with them
Establish the program infrastructure: governance, status reporting, risk tracking, and the escalation paths that let leadership make tradeoffs quickly
Help define the durable model for TPM support in the People organization, including scope, headcount, and reporting structure
You may be a good fit if you
Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments
Have driven planning and execution across teams that don't share a reporting line, and are comfortable influencing without authority
Have technical depth in systems integration: APIs, data flows between SaaS platforms, and the tradeoffs between configuring third-party tools and building custom
Have worked with or close to recruiting, people, or HR technology and understand how an ATS, HRIS, scheduling, and analytics stack fit together
Can build trust with engineers, recruiters, analysts, and executives, and translate between them
Are genuinely excited about using AI to change how a core business function works, and curious about what recruiting looks like when frontier AI is in the loop on every step
Thrive when the role itself is still being defined and see shaping it as part of the job
Strong candidates may also have
Background in recruiting operations, people analytics, or HR tech product management
Experience integrating AI or LLM-based tooling into operational workflows
Familiarity with headcount planning, workforce planning, or connecting business roadmaps to hiring plans
Experience teaching partner teams how to work with technical program management when the function is new to them
Deadline to Apply:
None, applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Полное сопровождение сделок от начала до конца, включая поиск, оценку и приобретение мобильных приложений и сопутствующих SaaS-бизнесов.
— Построение финансовых моделей с нуля, включая модели подписок, доходы от рекламы, ROAS-прогнозы, SaaS-метрики и смешанные модели приобретения.
— Анализ целевых компаний, запрос данных, оценка ключевых показателей (LTV, CAC, удержание, отток, ARPU), выявление рисков и формирование независимой оценки стоимости.
— Подготовка материалов для Инвестиционного Комитета совместно с CIO, участие в презентациях и возможность самостоятельного выступления.
— Ведение встреч с основателями приложений, проведение вводных и глубоких сессий с эмпатией и любопытством.
— Управление процессами сделок, координация работы по дью-дилидженс, контроль сроков и выполнение задач.
— Взаимодействие с командами инвестиций, поиска, продукта, роста и монетизации для оценки потенциала оптимизации после приобретения.
Требования:
— 2–4 года опыта в инвестиционном банкинге, корпоративных финансах или на стороне покупателя с практическим опытом сделок.
— Понимание экосистемы мобильных приложений и ключевых метрик (MAU, DAU, удержание, ARPU, LTV, CAC).
— Исключительные навыки финансового моделирования с опытом построения моделей с нуля, включая DCF, LBO и модели подписок.
— Сильные знания бухгалтерии и финансов, понимание взаимосвязи трех финансовых отчетов, корректировок оборотного капитала, мостов EV-to-equity и механики цены покупки.
— Умение быстро выстраивать доверие с основателями, задавать точные вопросы и вести беседы с уверенностью.
— Уверенность без высокомерия, способность менять мнение при появлении новой информации и поддерживать продуктивный диалог.
— Склонность к действию с хорошим суждением, умение балансировать между скоростью и тщательностью.
— Высокая аналитичность, умение работать с данными, выявлять закономерности и проверять гипотезы.
— Отличные коммуникативные навыки, способность упрощать сложное, ясно писать и уверенно презентовать.
— Комфорт с неопределенностью и постоянным изменением процессов.
Преимущества:
— Опыт построения финансовых моделей для мобильных приложений, моделей подписок, прогнозов доходов от рекламы или ROAS.
— Опыт работы с долговыми структурами и понимание влияния кредитного плеча на доходность.
— Знание SaaS-метрик (MRR, ARR, удержание, отток, расширение доходов) и оценка SaaS-бизнесов.
— Опыт ведения или поддержки полного цикла M&A от LOI до закрытия.
— Опыт работы на стороне покупателя: PE, growth equity, венчурные инвестиции или корпоративные M&A.
Условия:
— Удаленная работа.
О компании:
BlueThrone — компания с удаленной организацией, управляющая портфелем мобильных приложений на разных рынках и категориях. Компания приобретает приложения с доказанным продуктово-рыночным соответствием и выводит их в лидеры категорий. Портфель включает более 80 млн органических загрузок, 22,5 млн активных пользователей в месяц и растущий ARR, достигнутый через шесть стратегических приобретений.
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
We're looking for experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you'll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads.
You'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast.
The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We're hiring across all three.
Key Responsibilities
Drive the technical direction for database solutions used across Product and Research
Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
Build and scale database systems through 100x+ growth while maintaining reliability and performance
Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling.
Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments
Develop database infrastructure that serves both product and research workloads with different performance characteristics
Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization
Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic's hottest paths fast and correct
Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work
Optimize database performance, reliability, and cost efficiency at scale
Make build-vs-buy decisions for database technologies
Minimum Qualifications
Significant experience as a software engineer building and operating production database or storage systems
Deep knowledge of distributed database architectures and OLTP systems at scale
Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB)
Track record of leading large, complex infrastructure projects as an engineer or tech lead
Ability to balance moving quickly with the reliability needs of production systems
Strong technical leadership and cross-functional collaboration skills
Preferred Qualifications
10+ years building and scaling database systems, with 3+ years leading large-scale projects or teams
Experience scaling databases through periods of rapid growth at high-growth companies
Experience operating Spanner, CockroachDB, TiDB, AlloyDB, or other globally distributed SQL databases in production
Experience with Redis, Temporal, vector databases, or async job processing frameworks
Experience with change data capture (Debezium or similar), large-scale data migration, or streaming data infrastructure
Experience building multi-cloud or hybrid cloud database solutions
Knowledge of database orchestration and automation at scale
Contributions to database internals, storage engines, or related open source projects
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure and database expertise from any domain.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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
We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way.
This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about.
Key responsibilities
Drive the technical direction for caching infrastructure used across Product and Research
Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem
Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers
Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases
Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments
Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths
Build observability and tooling that makes cache behavior easy to understand and debug
Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work
Make build-vs-buy decisions for caching technologies
Minimum qualifications
Significant experience as a software engineer building and operating production distributed systems
Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes
Experience operating Redis, Memcached, or similar in-memory data stores in production
Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale
Track record of leading large, complex infrastructure projects as an engineer or tech lead
Ability to balance moving quickly with the reliability needs of production systems
Strong technical leadership and cross-functional collaboration skills
Preferred qualifications
10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams
Experience building managed infrastructure platforms or internal services consumed by many engineering teams
Experience with change data capture (Debezium or similar) or streaming data infrastructure
Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale
Experience designing client libraries or SDKs for internal infrastructure
Experience scaling infrastructure through periods of rapid growth at high-growth companies
Experience with multi-cloud or hybrid cloud deployments
Contributions to caching systems, database internals, or related open source projects
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain.
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:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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:
As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS, GCP, and Azure). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
Responsibilities:
Strategic Technical Partnership
: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
Joint Solution Development:
Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Customer Deal Support:
Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner Ecosystem & Events:
Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
You may be a good fit if you have:
5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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:
$275,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Lisbon, Portugal
About the Role
iCapital is looking to hire an Associate to join the Hedge Fund Finance team. This role is hands on with operational responsibility for servicing hedge and private equity fund of fund and access fund vehicles (the “funds”) in conjunction with third-party administrators. This position will manage all fund accounting and financial reporting to investors, including capital activity, partner capital statements, annual audited financials, and tax deliverables.
Responsibilities
Build and maintain relationships with underlying fund managers, fund administrators, and distributors.
Design and implement processes and procedures for servicing the funds. Work in close partnership with the management team to enhance and automate key processes, and to develop and enhance product, management, and other reporting, targeting both efficiency and scale.
Work closely with Investor Relations, Product, Legal and Compliance, Technology, Sales, and Marketing teams to support fund operations.
Participate in new fund structuring, setup, and onboarding.
Review feeder fund draft documents (LPA/PPM) as well as underlying fund operational questionnaires prior to fund launch. Provide feedback to internal legal or fund origination teams if there is anything that should be considered from a fund finance perspective.
Provide oversight of fund administrators and other service providers, such as auditors, tax service providers, and custodians.
Monitor cash positions and liquidity of investments, reconciliations, and manage cash reserves.
Determine subscription/commitment sizes to underlying funds and conduct analysis on feeder fund expenses.
Run accounts payable and expense allocation processes.
Oversee monthly / quarterly feeder fund NAV and statement issuance by the team/administrator and track KPIs.
Review and sign-off on capital calls, distributions, cash analysis, investor allocation files, and notices prepared by third party admins
Define, update, and maintain operating policies and procedures.
Liaise with funds’ custodian and funds’ bank, as well as other counterparties as needed.
Work with counsel and CCO to ensure general compliance with fund docs as well as regulatory filings and requirements such as SEC and FINRA.
Fulfill ad-hoc tasks as required by the team and different parts of the organization.
Qualifications
Bachelor’s degree in accounting, finance, economics, statistics, or another business-related field
3-5 years of fund accounting, fund administration, or finance operations experience. A focus on alternative investment funds including fund-of-funds and feeder funds is preferred
Passion for the application of innovative technology
Advanced accounting skills and experience within an audit framework is preferred
Advanced Excel skills
Demonstrated capacity and willingness to work within a close team structure on all tasks
Excellent organizational skills and attention to detail with ability to see the big picture
Proven ability to multi-task and work both independently and as a team player in a fast-paced, demanding environment
Strong verbal, written, and interpersonal communication skills
Eager to learn new topics and work in an evolving business environment
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office 4 days a week with the flexibility to work remotely 1 day ( Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance.
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
The CDN Content team is responsible for serving all content that flows through Vercel's global CDN — static assets, optimized images, incrementally regenerated pages, partially prerendered shells, and everything in between — to billions of requests for millions of developers. Our focus is performance: ensuring content is served globally as fast as possible. Caching plays a big role in making that happen, and the team operates a multi-tier caching architecture spanning in-process caches, regional cache services, and object storage across 20+ regions.
As a Software Engineer on the team, you'll take on well-scoped projects with real production impact and grow into owning larger pieces of the system. The work spans the serving path end to end, and everything ships through careful, progressive rollouts validated with production data. You'll learn how a planet-scale CDN works from engineers who built it.
This is a team where infrastructure meets product: we work in close partnership with frameworks such as Next.js, bringing framework-defined infrastructure to life on Vercel's CDN, and the serving and caching behavior we ship directly shapes the performance and cost that millions of developers see. You'll develop strong instincts for distributed systems, careful production rollouts, and data-driven engineering.
If you're based within a pre-determined commuting distance of one of our offices (SF or NY), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Build and improve the services behind ISR, PPR, and image optimization — working in Go, Lua, and TypeScript across the serving path.
Execute well-defined projects independently, from implementation through safe rollout (feature flags, shadow modes, progressive deployment) and post-ship validation.
Monitor and maintain your work in production: build dashboards, add metrics and alerts, and develop ownership of what you ship.
Contribute to the team's observability and testing surface — the dashboards, log views, and e2e test suites that keep a high-change system trustworthy.
Participate in the on-call rotation with support from senior engineers, and contribute to incident follow-ups that make the system more resilient.
Collaborate with teammates and partner teams (Next.js, CI/CD) through design discussions, code review, and pairing.
What you need
2+ years of experience building and operating backend services in production.
Proficiency in at least one of Go, TypeScript/Node.js, or a comparable systems language, and enthusiasm for working across a polyglot stack.
Solid understanding of HTTP and web fundamentals — caching headers, request/response lifecycle, what a proxy does.
You write code you're willing to operate: tested, instrumented, and documented.
Curious about how large-scale systems work, and motivated to dig into unfamiliar code and production data to figure things out.
A collaborative teammate who communicates clearly, asks good questions, and follows through reliably.
Bonus if you
Have experience with caching systems (CDNs, Redis/Memcached, application-level caches) at any scale.
Have AWS experience, particularly S3 or ElastiCache.
Have used Next.js or another modern web framework and understand rendering modes like SSR/SSG/ISR.
Have experience with observability tooling (Datadog, Honeycomb, or similar).
Have experience with Terraform or Kubernetes.
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Salt Lake City, Utah, United States
About the Role
iCapital is looking to hire a Site Reliability Engineer to join the Site Reliability Engineering team, which plays a critical role in ensuring the platform delivers consistent, reliable service to clients. The services run on Kubernetes in AWS, and this role is focused on maintaining the health, stability, and performance of production environments.
This position is ideal for a hands-on engineer who thrives in diagnosing complex production issues where the root cause is not immediately apparent. This role transforms insights gained from production incidents into stronger reliability standards, safer deployment practices, more effective alerting, and automation that helps prevent recurring issues. While metrics, logs, and traces are leveraged daily, the core focus is identifying, resolving, and learning from the issues they reveal.
Responsibilities
Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause.
Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements.
Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding.
Serve as the incident commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through.
Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil.
Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing.
Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations.
Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links.
Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields.
Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus.
Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time.
Qualifications
5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams
3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads
Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious
Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer
Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes
Strong incident response skills, including leading retrospectives and postmortems and following through on systemic fixes
Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling
Track record of defining SLOs/SLIs and using an observability stack (i.e. Prometheus and Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly
Clear written and verbal communication skills with the ability to influence engineering teams through standards, tooling, and practical guidance
Kubernetes certification (CKA or CKS) or equivalent depth
Experience improving rollout safety and autoscaling behavior for Kubernetes workloads
Familiar with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems
OpenTelemetry instrumentation experience at scale is preferred
Benefits
The base salary range for this role is $130,000 to $160,000 depending on level. 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
Twitter: @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.
Location: Singapore
Workplace: remote
Help Us Build The Future of Travel
At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world.
Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy.
We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone.
Your Next Destination
Location: Remote.
Contract: Full-time, permanent.
Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74
Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.
As the Director of Partnerships for APAC, you will lead Airalo’s partnership efforts across our four key Partnerships streams - Strategic Partnerships, Channel Sales and Corporate Sales for APAC
What You'll Do:
Work closely with the VP of Partnerships and other team members in the department
Build, lead, and groom a team of Partnerships Managers, further supported by in-country teams for Channel Sales, and Corporate Sales for key countries within APAC
Be a core member of the Partnerships Leadership Team that shapes Airalo’s global Partnerships strategy
Shape the future of Airalo’s Partnerships products by working closely with the Partner Experience Product and Engineering teams
Find, identify, prospect, and lead negotiations with large strategic partners within APAC
Maintain relationships with key partners to drive partner profitability and grow the B2B/B2B2C partnerships' contribution to the business
Refine the Airalo Partnerships roadmap to anticipate and fulfill partner needs, thereby maintaining Airalo’s status as the preferred provider across industry partners in APAC
Collaborate and work with different internal and external stakeholders to develop and execute joint projects/opportunities
Define and improve SOPs for the Partnerships department to streamline operations and improve efficiency across workflows
Represent Airalo at leading industry events and conferences across APAC
Own the Airalo Partnerships OKRs for APAC
What You'll Bring:
10+ years of experience in partnerships, sales, account management, or business development in a high-growth B2B and/or B2B2C environment
5+ years of prior experience building and managing high-performance teams
Experience in Traveltech / Consumer tech industries will be an advantage
Partner-first mentality and a genuine passion for helping your stakeholders succeed while creating win-win relationships
Ability to develop Airalo’s unique story and the problem we solve for our users, making it a compelling partnership proposition
Ability to employ, and teach your team, various sales techniques, including effective questioning, objection handling, consultative selling, and solution selling
Ability to develop thought leadership skills and build trust with key stakeholders - internally and externally
Ability to multi-task in a complex & matrix environment
Experience with sales and partnerships tools
Fluent verbal and written communication skills in Korean is nice to have.
If you are interested in this position, please apply to the ad.
Why People Join Us
We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first.
Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one.
As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world.
Before You Hit Apply
By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy
We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
Location: New York
Workplace: remote
⚡️ About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
What You'll Do
Manage and maintain HubSpot, including CRM organization, contact segmentation, workflows, campaign execution, and reporting
Build and execute email marketing campaigns and lead nurturing programs
Support demand generation initiatives across webinars, events, partnerships, content marketing, and digital channels
Assist with product marketing activities, including product launches, customer communications, sales enablement materials, and messaging
Coordinate with product, marketing, sales, and events teams to execute integrated marketing campaigns
Track campaign performance and provide insights and recommendations to improve results
Support conference, webinar, and event marketing initiatives throughout the year
Help maintain marketing assets, landing pages, campaign materials, and lead generation programs
Requirements
Prior marketing experience within crypto, blockchain, digital assets, or Web3 (required)
Native English speaker
Based in the United States (ideally East Coast)
Strong hands-on experience with HubSpot
Experience executing email marketing and lead generation campaigns
Excellent written and verbal communication skills
Highly organized, detail-oriented, and able to manage multiple priorities simultaneously
Self-starter with a strong sense of ownership and accountability
Comfortable working in a fast-paced, remote-first environment
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
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
Anthropic's researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build
platform components that other systems plug into
(for example, a metrics library that training frameworks integrate to record and retrieve run data), and we
own core datasets end to end
(for example, the data pipeline behind RL transcripts).
As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies.
You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it.
Responsibilities
Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next
Set the technical direction for the team across our platform and our datasets
Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks
Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them
Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on
Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code
Raise the team's technical bar through design reviews, mentorship, and the quality of your own work
You may be a good fit if you:
Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows
Have set technical direction for a team, or owned the architecture of a data platform that other teams build on
Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping
Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front
Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one
Lead through influence — aligning engineers and stakeholders without relying on formal authority
Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing
Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required)
Care about the societal impacts of your work
Strong candidates may also have
Experience with large-scale ETL and columnar or analytical storage (e.g., Spark, BigQuery, ClickHouse, DuckDB, Parquet)
Experience with metrics or experiment-tracking systems, or high-volume time-series data
Experience with dataset management, cataloging, or lineage tooling
Built developer tooling or internal data platforms for demanding technical users — including in domains like quantitative trading, where fast-moving, exploratory data work looks a lot like research
A working knowledge of machine learning
Worked in, or closely with, an ML research lab
Interest in — or experience with — people management and growing engineers
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:
$405,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Colorado Springs, Colorado, United States; Des Moines, Iowa, United States; Salt Lake City, Utah, United States
About the Role
iCapital is looking to hire a Product Solutions Vice President to lead product strategy and delivery for FireLight®, (Hexure now part of iCapital) flagship e-application and order-entry platform. FireLight is the largest and most strategic product in the portfolio, used by the majority of top U.S. life and annuity carriers and distributors to submit new business. This role exists to provide FireLight with the dedicated senior product leadership needed as the platform, customer base, and business ambitions continue to grow.
This role leads a team of Product Managers focused on FireLight, with selected cross-domain responsibilities where FireLight intersects with ForeSight, Vive, and IXN. This is a senior individual contributor and team leadership role, requiring hands-on engagement with the product, data, and customer experience while leading and developing the team. The position operates within a domain where customer expectations continue to rise rapidly, including modern UX, AI-assisted workflows, real-time integrations, and UI-driven configuration, while supporting a customer base that demands enterprise-grade configurability, compliance, and reliability. Success requires aligning and advancing these priorities as a cohesive product strategy.
Responsibilities
Own and drive the FireLight product strategy, vision, and roadmap, aligning investments and priorities to business objectives, customer needs, and measurable outcomes.
Prioritize and manage the product backlog, balancing strategic initiatives, customer requests, technical investments, and operational requirements to maximize value delivery.
Lead and develop a team of Product Managers, providing coaching, direction, and accountability to ensure effective product planning, execution, and career growth.
Drive cross-domain product decision-making, partnering across business and technology teams to align priorities, resolve dependencies, and optimize end-to-end customer experiences.
Establish and maintain customer feedback mechanisms, translating customer insights, market trends, and user research into product enhancements and strategic roadmap direction.
Partner with engineering, operations, compliance, and business stakeholders to deliver product initiatives on time, manage risks, and achieve targeted outcomes.
Enable go-to-market readiness for product launches and enhancements, collaborating with sales, marketing, training, and customer-facing teams to drive adoption and customer success.
Champion the strategic evolution of the FireLight platform, leveraging AI-driven capabilities and process modernization to reduce NIGO rates, increase operational efficiency, and enhance customer satisfaction.
Establish and communicate product performance metrics and executive-level reporting, ensuring transparency into roadmap progress, adoption, business impact, and return on investment.
Qualifications
8+ years of experience in product management, insurance or annuity domain experience is preferred
3+ years of experience leading product managers
5+ years of enterprise B2B SaaS experiencee
Experience leading workflow, rules-based, or low-code platform products, with a strong understanding of scalable configuration frameworks and enterprise software delivery
Demonstrated expertise defining and delivering API-driven products and integrations
Experience delivering AI-assisted features and capabilities that enhance user experience, efficiency, and business outcomes
Able to travel up to 10%
Benefits
The base salary range for this role is $130,000 to $160,000. 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
Twitter: @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.
УдалённоseniorRemote, Canada; Remote, US; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоMexico City
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