Location: New York; Maryland; Massachusetts; Virginia; Connecticut; Georgia; Pennsylvania; New Hampshire
Workplace: Remote
Chainalysis is the blockchain data platform. We provide data, software, services, and research to government agencies, financial institutions, cybersecurity companies, and more to help detect and prevent cryptocurrency crime and ensure compliance. Backed by top-tier investors, we are building the foundational data infrastructure for the future of finance.
The Finance and Strategy team at Chainalysis are strategic financial advisors to our leadership team and the Company. We strive to grow our processes, operations, and team to meet the rapidly expanding needs of the business. We seek to match the pace of innovation of the business and to deliver real time and meaningful insights to decision makers.
We are looking for a Senior Manager of Strategic Finance to join our Finance team at a critical inflection point in the company's growth. Reporting directly to the VP Head of Finance, you will be a key thought partner to senior leadership — supporting our long-term financial model, evaluating growth opportunities, driving capital allocation decisions, creating comprehensive pricing analyses, and building the analytical frameworks that guide how we invest across the business. The position blends rigorous analytics with clear executive communication and strong stakeholder management. It is a high-visibility, high-impact individual contributor role. You will work closely with the CFO, Finance leadership, and leadership throughout the Company on our most consequential strategic decisions.
In this role, you will:
Lead valuation work and TAM analyses and market research. Drive overall market analyses and competitive intelligence analyses
- Analyze current pricing and packaging models. Develop a deep understanding of market pricing trends related to AI and consumption. Learn the nuances of our public and private sectors, geographies, products, segments, etc. in and influence our pricing strategy
- Enhance and own the company's long-range financial model. Understand key business and industry drivers to build dynamic models that allow leadership to rapidly evaluate the financial impact of strategic decisions. Lead sensitivity analysis around macro factors relevant to the blockchain/crypto industry
- Scale the model and build it into our planning tool
- Create sophisticated financial models, and drive scenario analyses that inform major capital allocation decisions, including M&A, partnerships, and new market entry.
- Synthesize scenario outputs into clear, executive-ready narratives and recommendations
- Track post-investment performance against underwriting assumptions and surface learnings back into the planning process
- Serve as a trusted advisor to senior leadership on high-stakes questions. Understand the long-term impact of near-term decisions in order to make recommendations to leadership and the executive team
- Be operationally savvy. Understand the operational impacts of strategic work, and partner with the business to ensure suggestions are operationally feasible. Assist with the implementation of operational changes resulting from strategic decisions
What you need:
- 6–9 years of experience in investment banking, private equity, corporate finance, FP&A, or a similar analytical role
- Strong executive presentation skills - an ability to clearly and succinctly present complex topics to a C-level audience. Possess an investor mindset; ability to synthesize complex business dynamics into clear investment theses and risk-adjusted recommendations
- Strong business intuition — you connect financial outcomes to operational drivers and can tell the story behind the numbers
- Comfortable operating with ambiguity and making high-quality decisions with incomplete information
- Entrepreneurial orientation: eager to define and develop the strategic finance function, not just execute within it
- Excellent financial modeling skills, including the ability to work with large data sets in both Excel and Google Sheets
- Experience working at a SaaS, data, or technology company preferred. Familiarity with the blockchain, crypto, or Web3 industry is a strong plus but not required
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
УдалённоseniorNew York; Maryland; Massachusetts; Virginia; Connecticut; Georgia; Pennsylvania; New Hampshire
Location: New York City, NY; San Francisco, CA; Seattle, WA; Washington, DC
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
The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.
Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.
Responsibilities
End-User Support
Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person
Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
Handle escalations requiring cross-team coordination
Participate in an on-call rotation for urgent issues outside business hours
Provide hands-on support for user technology, AV systems, conference rooms, and printers
Communication & Documentation
Communicate clearly with users of all technical levels
Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles
Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves
Operational Improvement
Help streamline onboarding and other high-volume operations as the company scales
Contribute to automation efforts
Maintain and improve device management, identity, and access systems
Assist with scripting (Bash, Python) to automate repetitive tasks
You may be a good fit if you
Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment
Are an excellent communicator who genuinely enjoys helping people solve problems
Have strong troubleshooting skills and are methodical, curious, and persistent
Demonstrated experience supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android
Have significant experience with Google Workspace administration
Have experience with Slack administration — workspace management, permissions, and troubleshooting
Have substantial experience supporting and administering additional SaaS tools
Understand identity and access fundamentals — SSO, MFA, directory services
Are familiar with MDM fundamentals and endpoint management concepts
Have experience with basic scripting (Bash or Python) for automation
Take ownership of problems and follow through until they're resolved
Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?"
Are organized enough to manage competing priorities without things falling through the cracks
Propose solutions when you see a process that doesn't scale
Are looking to develop deeper technical skills and take on more complex systems administration challenges over time
Strong candidates may also
Be familiar with zero-trust security concepts and endpoint security tooling
Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals
Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns)
Have experience using AI tools to improve personal or team productivity
Location
This role is based in our San Francisco, Seattle, New York or Washington DC office and there is a 4 day/week in office expectation.
What Makes This Role Unique
You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic.
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:
$180,000
—
$230,000 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: Maputo
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
GiveDirectly Mozambique is growing – delivering large lump sum transfers at scale, developing tech-enabled delivery models, and building the operational infrastructure needed to support a significantly larger program. We're looking for an Operations Lead to strengthen the support systems and staff to operate with excellence at scale. This role will lead procurement, logistics, HR, and administrative functions end-to-end, working closely with the Country Director and collaborating with Programs, Finance, Internal Audit and Safeguarding teams.
The ideal candidate combines strong operational expertise – particularly in procurement, logistics, and HR – with the leadership skills to build and mentor a growing team. You thrive in a fast-paced, non-hierarchical environment, are comfortable making decisions with limited precedent, and bring a bias toward action and practical problem-solving.
Reports to:
Country Director
Level:
Senior Manager
Travel requirement:
Regular travel within Mozambique to field offices and program sites. Must be able to travel 1-2 times per year internationally for team retreats.
What you'll do
Build and lead the Mozambique operations team
Lead the GD Moz Operations team, including procurement, logistics, administration, and HR functions.
Provide line management to the Office & Procurement Manager and Human Resources Manager, while supporting them to build high-performing, appropriately specialised teams.
Create clear roles, responsibilities, and standard operating procedures that enable the team to operate independently and at a high standard.
Build the team's capacity over time, driving best practice and coaching managers to develop operations management excellence.
Contribute to cost-effective systems for scale
Help design and build systems and processes capable of supporting a larger program, identifying future needs (e.g. strategic partnerships, team capacity, technology solutions).
Drive measurable improvements in back-office processes, running regular analyses on speed, cost, resilience and controls.
Identify and implement opportunities to use AI and other digital solutions to improve the scalability of operations.
Leadership to procurement, logistics and administration
Oversee Procurement & Administration function through the Office & Procurement Manager, identifying bottlenecks and improving systems.
Develop and support implementation of a procurement strategy to ensure an efficient, responsive, high-quality, and resilient supply of goods and services.
Lead logistics and fleet management, ensuring efficient and reliable transport and distribution across Mozambique's operations.
Oversee budgeting and procurement planning to ensure needs are forecast and operations run smoothly.
Use data to conduct analyses to identify opportunities to improve procurement and logistics efficiency and value for money.
Support compliance and risk management
Proactively identify and mitigate operational risks, maintaining a risk register and putting mitigations in place.
Ensure operations meet GiveDirectly's global policy standards and local regulatory requirements, adapting for the Mozambique context.
Work with GiveDirectly's Corporate Audit function to support internal audits and build systems for a strong control environment across assets, inventory, fleet, procurement and office security.
Closely collaborate with Finance teams for timely, efficient payment processes, facilitate external audits, and ensure compliance.
Oversee HR
Oversee HR function through the HR Manager, identifying bottlenecks and improving systems.
Support the Country Director in implementing and iterating on GiveDirectly Mozambique's people strategy to scale the team while building talent density.
Support the HR team to deliver initiatives that strengthen team culture and reinforce GiveDirectly's values as the organisation scales.
Drive best practice across recruitment, learning and development, performance management, and HR operations.
What you'll bring
Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity.
Significant experience (6+ years) in operations management, with strong expertise in procurement and logistics.
A track record of strengthening operational functions – taking systems from ad hoc toward structured, compliant, and scalable.
Strong financial and budget management skills, with experience managing operational budgets and driving cost-effectiveness.
Experience managing and developing teams, including recruiting and mentoring staff.
Experience overseeing or working closely with HR functions (recruitment, performance management, learning and development, culture building).
Comfort in a fast-paced and changing environment that involves a degree of ambiguity and requires figuring things out with limited precedent.
Highly analytical with a strong attention to detail and a bias toward data-driven decision-making.
Familiarity with INGO standards, donor compliance frameworks, internal controls, and audit processes.
Strong cross-cultural communication skills and experience working effectively in matrixed organisations.
Experience and aptitude leveraging new technologies and AI to advance operational effectiveness. Comfort with an agile and iterative approach.
Knowledge of Mozambique's regulatory environment for NGO operations, procurement, and employment law is an advantage.
Language Requirement: English fluency required; Portuguese fluency is a plus.
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Referrals
Know the right person for this role? Please consider
referring them
. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!
Location: France
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We are seeking an experienced and dynamic leader to build ElevenLabs' public sector business across France. The Public Sector Partnerships Lead will identify and build relationships with government institutions across France, bridging the gap between government and our GTM team to drive adoption of ElevenLabs' products and grow government into a strong, durable revenue stream for the company. The role also involves building strategic partnerships with policymakers, industry associations, and coalitions, as well as monitoring regulatory developments and supporting policy campaigns and impact initiatives.
In this role, you will:
Drive government adoption and revenue (primary)
- Identify government partnership opportunities across France — from healthcare and education to transport, public banks, and other state-owned enterprises — and bridge the gap between government institutions and the GTM team to drive adoption and deployment of ElevenLabs' products.
- Build and maintain a wide network of relationships across French government institutions — spanning ministries, agencies, établissements publics, and SOEs — not limited to regulatory or policy counterparts.
- Promote government adoption of ElevenLabs products and services in partnership with the GTM team.
Build strategic partnerships (secondary)
- Build and maintain strong relationships with policymakers, regulators, industry associations, and civil society groups.
- Represent ElevenLabs at conferences and industry events, advancing the company's public policy goals.
Monitor and advise on policy (tertiary)
- Lead ElevenLabs engagement with government bodies and officials across France, with a focus on AI governance, safety, copyright, privacy, transparency, data protection, competition, and/or digital rights.
- Monitor, analyze, and advise on emerging regulations impacting the company — including EU-level developments given France's influence in shaping EU AI policy.
- Support the development of internal policies by our Legal, Safety, Security, and other teams.
- Provide strategic counsel to company leadership on regional policy trends and their business implications.
- Define and implement policy campaigns and impact initiatives that advance company objectives.
Who you are:
- You're genuinely interested in the future of AI and emerging technologies, bringing curiosity and enthusiasm to your role.
- You stay up-to-date on AI regulation and industry trends, and are eager to apply this expertise to cutting-edge products.
- You thrive in a fast-paced, dynamic startup environment, working cross-functionally with teams across the organization to support and scale a growing business.
- You're comfortable working independently and handling ambiguity, excelling in situations where you must make informed decisions quickly.
- You bring a proactive, solution-oriented approach to each project, focused on moving the business forward.
What you bring:
Primary requirements
- 10+ years' experience in public and private sector (in-house, firm) roles, with a track record of building relationships with government that led to commercial or technology-adoption outcomes — not solely policy or regulatory roles.
- A wide, current network of contacts across French government institutions — spanning ministries, agencies, établissements publics, and SOEs, including in healthcare, education, and transport. Prior government or grands corps experience is a plus but not required if network breadth is strong.
- Experience identifying and opening doors for technology partnerships with government institutions is strongly preferred.
- Contacts or experience navigating EU institutions or other major European markets is a plus.
Also required
- Strong knowledge of the French and EU AI policy landscape, including general AI governance, safety, copyright, privacy, transparency, data protection, competition, and digital rights.
- Demonstrated success in designing, advocating for, and influencing policy outcomes, as well as coalition building.
- Public policy experience across France.
- Exceptional written and verbal communication skills, including when briefing government officials and other policymakers.
- Fluency in English and French.
Location
This role is located in France.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of Voodoo's gaming and consumer apps, keeping us at the forefront of the mobile industry. The team plays a key role in Voodoo's long-term strategy: it accelerates product diversification and provides a state-of-the-art growth engine to distribute and scale our games. We create solutions that drive growth with a pragmatic approach, ranging from simple search to complex machine learning systems.
Within Engineering & Data, the Central Data & Analytics team makes data a reliable guide for the whole company. Data engineers, analytics engineers, data analysts and a product data PM work side by side to build and grow the foundations behind every critical business and product decision at Voodoo.
This position is hybrid and requires 3 days/week in our Paris office.
ROLE
We’re looking for a Senior Data Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide array of topics such as:
- Build and operate robust data pipelines that keep pace with ever-evolving business needs, ensuring the architecture supports them cleanly.
- Contribute to the codebase, ship and maintain your changes in production, and champion strong coding and data engineering practices.
- Use AI coding tools (Claude Code, Codex, and whatever comes next) as a core part of your daily workflow — to move faster on pipelines, migrations, tests and documentation — while staying fully accountable for what you merge.
- Look for opportunities to put AI inside our data platform, not just around it: LLM-assisted data quality checks, semantic layers, natural-language access to datasets, agent-driven internal tooling.
- Take ownership of projects from initial discussions to release: feature estimation and scoping, architecture design, benchmarking of new technologies, product feedback.
- Work in a very agile environment with a fast decision process.
- Collaborate directly with back-end engineers, data scientists, mobile game and consumer app teams, product and marketing.
PROFILE
- Extensive experience as a Data Engineer or in a similar role.
- A proven track record of building and optimizing data pipelines for massive volumes of data (at scale).
- Strong experience with scalability, reliability, and security topics.
- Hands-on experience coding with AI assistants and agentic tools — you know how to give them the right context, break work down for them, and review their output critically rather than trusting it blindly.
- Genuine curiosity about modern tooling and practices: you follow how the data and AI ecosystem is evolving, try new tools on real problems, and form your own opinion instead of following hype. You can explain why you adopted something — or why you dropped it.
- Strong analytical skills and comfort working with unstructured datasets.
- Experience with Amazon Web Services.
- Result-oriented and focused on the value your work creates.
- Curious about business needs and keen to build innovative, pragmatic solutions that grow the business through data.
- Excellent communication skills (you can speak and write English).
- Experience with LLM-based systems (RAG, evals, prompt and context engineering) is a strong plus.
- Experience in gaming, advertising, or another fast-growing company is a plus.
- Familiarity with Voodoo's ecosystem: gaming, apps, advertising, analytics.
OUR STACK
- Amazon Web Services; Python; Spark; Scala; Terraform; SQL (Athena, StarRocks); DBT;; Airflow; Kubernetes; AI-assisted development tooling (Claude Code, MCP-based internal tools)
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Location: Oakland, California, United States
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.
T
ogether, 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
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development.
What You'll Do
Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins
Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets)
Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture
Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets
Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate
Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams
Ensure engineering processes (e.g. FDLC) are implemented and consistently followed
Delegate effectively and build autonomy and a positive, high-trust culture within the team
Address performance issues and conflict promptly and fairly
Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle
Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment
Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance
Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs
Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates
Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed
Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team
Bonus Skills
Experience building or operating metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements
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.
Oakland Pay Range
$186,701
—
$233,376 USD
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: Poland
Company Background
Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.
Project Description
The project focuses on developing and maintaining an enterprise integration layer that connects the client’s operational platforms, cloud services, and corporate applications across a complex business environment. The specialist will help enable secure, reliable, and scalable communication between in-house and SaaS systems, supporting the automation and consistent flow of business data across the organization.
Technologies
MuleSoft / Azure Integration Services / UiPath / Workato
REST, SOAP APIs
Python, PowerShell, Bash
ETL
Event-driven architectures
Azure Service Bus / AWS SQS / Kafka
What You'll Do
Build, test, deploy, and support integrations across enterprise systems, including ERP, HRIS, FinOps, ITSM, and in-house operational platforms;
Design and implement scalable and secure data flows using MuleSoft, REST/SOAP APIs, event-driven patterns, ETL pipelines, and middleware platforms;
Establish integration standards, reusable patterns, and governance practices to reduce point-to-point integrations and technical debt;
Collaborate with HR, Finance, IT, cloud, and infrastructure teams to translate business requirements into technical integration solutions;
Develop automation scripts and pipelines using Python, PowerShell, and Bash to streamline data transfers, system events, and operational workflows;
Build and maintain CI/CD pipelines for reliable, testable, and auditable integration deployments;
Implement monitoring, alerting, and observability for integration pipelines, troubleshoot data flow issues, and maintain technical documentation;
Connect master data management and FinOps data flows with enterprise applications while supporting data accuracy, latency, and governance requirements;
Support routine administration of enterprise systems, including user access updates and maintenance of system records;
Contribute to preparing enterprise data for future AI/ML use cases;
Job Requirements
7+ years of experience in enterprise integration engineering, systems architecture, or a related technical role, with progressively increasing scope;
Solid experience with iPaaS or middleware platforms, such as MuleSoft, Azure Integration Services, UiPath, or Workato; MuleSoft experience is preferred;
Hands-on experience designing and implementing REST and SOAP API integrations across heterogeneous enterprise systems;
Experience integrating ERP, HRIS, ITSM, and/or FinOps platforms in a multi-cloud environment;
Proficiency in scripting and automation using Python, PowerShell, and/or Bash;
Working knowledge of ETL patterns, event-driven architectures, and message queue systems;
Strong understanding of data security, access control, and zero-trust integration principles;
Ability to translate ambiguous business requirements into concrete and well-documented technical designs;
Experience collaborating across engineering, infrastructure, and business stakeholder groups;
Nice To Have
Experience working in data center, critical facilities, or industrial/OT environments, or the ability to rapidly learn domain-specific operational systems;
Hands-on experience with FinOps tooling, such as Apptio or Azure Cost Management, and cost data pipelines;
Experience administering enterprise back-office business systems, such as NetSuite, Coupa, Rippling, BlackLine, or Ironclad;
Experience integrating Rippling, ADP, or comparable HRIS platforms with downstream financial and operational systems;
Familiarity with ServiceNow or comparable ITSM platforms and their integration capabilities;
Experience using AI-powered agentic coding tools and IaC technologies, such as Terraform or Bicep;
Exposure to AI/ML pipeline architectures and data preparation workflows for intelligent operations;
Experience with Agile and DevOps practices at scale;
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
Humanoid is looking for an experienced PR Manager based in London to lead our public relations, influencer, and event strategy globally, with a focus on the UK, US, and Europe. This is a hands-on role for someone with a strong existing network of media, industry, and influencer contacts, particularly in the US, who can turn Humanoid's story into consistent, high-quality coverage and get Humanoid in front of the right audiences at the right events.
What You’ll Do
- Build and maintain strong relationships with media outlets, journalists, editors, and influencers, with a particular focus on the US market.
- Secure interviews, features, product announcements, and bylined articles in relevant Tier-1 and Tier-2 media outlets.
- Oversee the creation of press releases, media kits, articles, social content, and thought leadership materials.
- Identify and secure speaking opportunities at conferences, forums, and industry events, and support company spokespeople in preparing for them.
- Prepare company spokespeople for public appearances, media interviews, and press engagements.
- Monitor and manage Humanoid's public image and reputation, and lead the response to any reactive or crisis communications.
- Support and help shape the company's social media presence, ensuring consistent and authentic messaging across platforms.
- Track performance metrics and refine PR strategy based on insights and coverage results.
What We're Looking For
- More than 3 years of relevant experience in public relations, communications, or media relations (e.g. PR manager, press officer, communications lead, agency account lead, or similar).
- Extensive network of Tier-1 and Tier-2 media contacts, event organizers, and bloggers across the business, financial, tech, AI, and robotics sectors, with strong, active relationships in the USA (UK and Europe a plus; investor connections a plus).
- Excellent interpersonal and written communication skills.
- Ability to perform well under pressure and against tight deadlines.
What We Offer
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Barcelona, Spain
Workplace: hybrid
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.
We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.
Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.
About the role
🤓
At seQura, we are looking for someone who doesn't just animate scenes, but brings ideas to life.
As we continue to grow, we are looking for a
Senior Motion & Graphic Designer
to shape how seQura looks, moves and feels. Motion is becoming a core part of how we express our brand, and this role will elevate seQura's positioning through every visual touchpoint, becoming a creative reference across the company.
This role goes far beyond moving elements on a screen. We are looking for someone with a strong visual culture across motion, photography and graphic design; someone who can read an image before animating it, understand what makes a story work, and find the right rhythm to make an idea move.
You will work closely with our creative and marketing teams to turn concepts into compelling visual stories that build the seQura brand, while also bringing your expertise to projects across the company.
What challenges you'll be solving
🚀
Turn concepts into high-quality motion graphics, video and visual storytelling that go beyond campaigns: work that repositions the company and strengthens its brand narrative.
Define and document seQura's motion language: principles, timing and transitions that other designers and partners can apply consistently.
Join projects from the idea stage, shaping concepts alongside copywriters and other creatives rather than executing finished briefs.
Build visual narratives where rhythm, composition, photography, typography and movement all serve a clear purpose.
Own every project from concept to final delivery, with consistency and attention to detail at each step.
Bring structure to the process: manage timelines and deliverables without lowering the creative bar.
Integrate AI tools into your workflow to explore faster and push further, never as a substitute for judgement or craft.
Become a trusted reference for teams across seQura, contributing wherever your expertise adds value.
Keep exploring new tools, formats and approaches that raise how we communicate as a brand.
What we offer
😎
We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.
One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.
In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.
23 vacation days + 2 days of free disposal per year.
Professional development workshops or seminars.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts with Sanitas and Adeslas.
Urban mobility by using your own bike with Kleta.
Free access to healthy, organic, and sustainable fruits and snacks.
Moreover, we offer a
Wellness Program
that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.
What you’ll need
🫱🏼🫲🏽
A portfolio that shows craft and systems thinking together, not just showreel moments.
Senior-level judgment: you know which risks are worth taking, and which aren't.
Conceptual depth: the ability to connect motion, brand and interaction into one coherent experience.
Fluency with AI and generative tools for image, motion and audio generation.
Expert in motion & editing tools
:
it's not about which tools you prefer, but how well you use them. Think After Effects for motion, Premiere Pro or DaVinci Resolve to finish a project end to end, Cinema 4D/Blender for 3D, but if you achieve the same results in a different way, that works too.
A solid foundation in composition and photography: you understand what makes an image work before you animate it.
Sharp judgement, connecting every visual decision to the idea behind the piece.
Experience developing ideas with copywriters and other creative profiles, not just receiving briefs.
Real ownership: you manage projects, meet deadlines and answer for your work end to end.
Flexibility to move across projects, formats and teams in a fast-paced environment.
Fluent in English
Nice to have
Experience in fintech, technology or other fast-paced environments.
Experience in Figma.
About you
You notice when an animation feels just a little too slow.
You know when an easing curve doesn't quite feel right.
You care about craft but understand how to ship quickly.
You're comfortable working in ambiguity, helping define patterns before they exist.
Most importantly, you believe motion isn't decoration. It's a critical part of how great products communicate.
Our hiring process
Screening call with Hiring Manager
Technical Interview with a peer.
Creative assessment and presentation
Cultural fit interview
Meeting the CMO
We kindly ask that you submit your
CV in English
, as it is the official language of our community.
We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or other characteristics. We have an inclusive environment, and respect is above all.
Do you want to be part of the change? Join us!
👇
Location: Remote
Workplace: Remote
About Eneba
At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.
ABOUT THE TEAM
The Risk & Fraud team exists to protect the thing that makes a marketplace work: trust. Every transaction we process depends on us drawing a clean line between genuine players and bad actors, without getting in the way of the good ones.
The work spans both ends of the problem: the day-to-day defense — alert review, chargeback management, and escalations from Customer Support — and the longer game of partnership strategy, fraud program design, KPI ownership, and staying ahead of how fraud evolves. We don't treat fraud as a cost centre — we treat it as a discipline.
ABOUT YOUR ROLE
As the Head of Risk & Fraud, you own the line between trust and loss for the entire business.
You're not refereeing from the stands. You set the fraud strategy across all our products, you lead the team, and you own the decisions that actually move the number — which partners we work with, which models we trust, where we draw the risk line, and what we tell Product when a new feature opens a door we'd rather keep shut. You're the person the stakeholders turn to when the question is "how exposed are we, and what are we doing about it?" and you answer with evidence, not vibes.
RESPONSIBILITIES
- Owner of the Number: You own the fraud P&L. Payout rate, chargeback rate, approval rate, false-positive rate — across the business, these are yours. You're the one who can explain every movement and who's accountable for the trend line.
- Leader of the Team: You won't just run the team; you'll build a strong second line of leadership beneath you and develop the people in it, so the function stays sharp whether or not you're in the room.
- The Strategy Setter: You own the fraud-reduction roadmap. You decide what we build versus buy, where we invest, and how the multi-product fraud program is designed — then you make sure it actually ships.
- The Partnership Principal: You own the commercial and strategic relationships with our fraud-prevention partners. RFPs, champion-challenger tests, SLAs, and the negotiations themselves sit with you.
- The Cross-functional Bridge: You're the operational partner to Product, Engineering, Finance, and Legal. When the business builds something new, you make sure fraud risk is designed in from the start — not patched in after the first loss.
- The Compliance Anchor: You own our risk-side regulatory and compliance obligations — PSP requirements, KYC, and law-enforcement requests — and make sure we're defensible as we scale across markets.
- The Final Word on Risk: You're the top escalation point for the hardest risk calls, and you represent Risk & Fraud in cross-functional and leadership forums with structure, data, and a clear point of view.
Requirements
-
- A Proven Track Record: You have solid experience in fraud, risk, or financial crime (think 4+ years in a fast-paced or high-growth environment) and have led a team before. What matters most is the scope you've owned — you've been accountable for fraud outcomes end to end, not just clearing queues.
- An Owner of Outcomes: You don't just talk about "reducing fraud" — you have the receipts. You can point to specific times you moved fraud rate, chargeback rate, or approval rate through structural change, and explain the trade-offs you made to get there.
- A Commercial Operator: You've owned partner selection and negotiation, managed budgets and SLAs, and know how to hold a partner accountable to the numbers they promised.
- A Data Native: You have a sixth sense for dashboards. You can look at a metric gap, diagnose the root cause, and make the call without waiting for an analyst to hand you the answer. Comfort in SQL / Databricks-type environments is a strong plus.
- A Builder of Teams: You find genuine satisfaction in developing leaders and building a function that thrives independently. You set clear expectations and you coach.
- Familiar with Our World: Ideally you've spent time in digital marketplaces, e-commerce, payments, or gaming, and you know the failure modes — promo abuse, reseller fraud, account takeover — and the pace of a high-volume digital business.
- Compliance-Fluent: You're comfortable operating against regulatory, PSP, and KYC obligations, and you know where the risk function's responsibility starts and stops.
- A Strong Communicator: Since we operate internationally, your written and spoken English needs to be sharp enough to set strategy, influence executives, and lead a diverse team.
What it’s like to work at Eneba
*Opportunity to join our Employee Stock Options program.
*Opportunity to help scale a unique product.
*Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
*Paid volunteering opportunities.
*Work location of your choice: office, remote, opportunity to work and travel.
*Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
*Please attach CV's in English.
*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice
Location: London
Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe.
The Role:
We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems.
As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.
The individual in this role will manage teams in LON themselves while also facilitating.
Responsibilities:
Site Leadership & Culture
- Establish and lead Perplexity's London office, setting the cultural foundation and operating principles
- Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem
- Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions
- Partner with People/HR, Finance, and Operations to ensure seamless site operations
- Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community
Technical Leadership:
- Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers)
- Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals
- Drive architectural decisions and technical excellence across teams
- Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads
- Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives
Team Building & Talent:
- Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring
- Develop and execute talent acquisition strategy for the London site in partnership with recruiting
- Create career development frameworks and growth opportunities for engineers
- Foster technical mentorship and knowledge sharing across teams and sites
Cross-functional Collaboration:
- Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions
- Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration
- Contribute to company-wide infrastructure strategy and roadmap planning
- Facilitate knowledge transfer and best practice sharing across global teams
Qualifications:
Required
- 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles
- 3+ years of people management experience, including building and scaling teams
- Proven track record of establishing or significantly growing an engineering site or office
- Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation
- Experience with infrastructure supporting large-scale AI/ML systems, including:
- GPU infrastructure and orchestration
- ML training and inference pipelines
- Model serving and deployment at scale
- Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems
- Demonstrated ability to set technical vision and drive execution across multiple teams
- Excellent communication and stakeholder management skills
- Experience working in fast-paced, high-growth technology companies
- Passion for building inclusive, diverse, and high-performing teams
Preferred
- Experience at companies focused on AI/ML, search, or large-scale consumer applications
- Previous experience as a site lead, office lead, or similar multi-team leadership role
- Background in building infrastructure for LLM training or inference
- Contributions to open-source infrastructure or AI infrastructure projects
- Experience scaling teams from 0 to 20+ engineers
- Active involvement in the London or European tech community
- MBA or advanced technical degree
What Success Looks Like:
30 Days
- Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure
- Established relationships with key stakeholders across engineering, product, and leadership
- Initial hiring plan and culture strategy for London site established
- Help the Search, API, AI and Infra teams build out their hiring pipelines
90 Days
- Core infrastructure team established and ramping in London
- Clear technical roadmap and priorities defined for London-based teams
- Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs)
- London office actively participating in company-wide infrastructure initiatives
1 Year
- London site operating as a high-functioning hub with 15-30+ engineers
- Infrastructure teams delivering measurable impact on system reliability, performance, and scalability
- Strong talent brand established in London market with healthy hiring pipeline
- London recognized internally as a strategic site contributing to Perplexity's technical leadership
Why Join Perplexity
- Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company
- Work on cutting-edge AI infrastructure challenges at massive scale
- Shape the culture and technical direction of an entire office
- Competitive compensation including equity
- Comprehensive benefits package
- Flexible work environment
- Opportunity to make a significant impact on how millions of people access and interact with information
Location: London, United Kingdom (Hybrid)
Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As an Analytics Engineer at OnePay, you'll own the analytics foundation (dbt models, testing, and Databricks BI) so the business can move fast on trusted data. We build for humans and AI, so you’ll use AI tools (Claude Code, Cursor) daily to move faster and design models, metrics, and documentation that agents and analysts can both rely on.
WHAT YOU’LL DO
- Design and build production dbt models on Databricks that the organization uses as the source of truth for what’s happening in the business
- Support external reporting with accurate, governed data that stakeholders and partners can trust
- Own data quality: testing, CI/CD, documentation, and patterns the team follows
- Build and evolve Databricks dashboards and semantic metrics for self-service across the business
- Partner with Data Engineering, Analytics Engineering, and analytics stakeholders to turn messy business problems into durable data products
- Drive AI-native workflows: Cursor/Claude (or equivalent) in daily development; model and doc design that works for LLM consumers
YOU BRING
- 3+ years in analytics engineering or equivalent: you’ve owned production models end-to-end, not just ad hoc analysis
- Expert SQL and deep dbt experience (architecture, incremental models, tests, macros, CI/CD)
- Strong Databricks BI (or equivalent semantic layer) delivery
- AI-savvy in practice: you already use AI coding tools daily, validate outputs rigorously, and design data for both humans and agents
- Proven ability to execute in ambiguity: startup pace, incomplete specs, bias toward shipping
- Clear communicator across technical and non-technical audiences
- Owner mentality: you see what’s broken, fix it, and raise the bar for others
TOOLS WE USE
We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: Limassol, Cyprus
Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now!
Tickmill is looking to hire an English and Russian Speaking
Client Services Officer
to join our Client Services team!
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What the job looks like?
The Client Services Officer will have the opportunity to:
Handle client inquiries promptly and professionally via live chat, email, and phone in English.
Act as the main liaison between clients and internal departments, ensuring timely resolution of issues.
Assist clients with verification and KYC procedures in line with regulatory and internal requirements, while providing accurate information on account management, execution queries, and platform functionality.
Troubleshoot technical issues such as login problems and platform navigation, and guide clients in using available tools and resources to improve their trading experience.
Proactively engage clients to minimize churn by delivering personalized support, reactivating dormant accounts, and contributing to client retention through consistent follow-up and tailored solutions.
Participate on Expos
What will you need to be able to do the job?
At least 1 year of experience in a Customer Support or Sales role within a regulated financial services company.
Fluent in English and Russian, both written and spoken.
College or University degree.
Strong attention to detail, organizational, and communication skills.
Good knowledge of Microsoft Office applications.
High level of professionalism, strong work ethic, self-motivation, and team spirit.
Positive, can-do attitude.
Flexibility to work on public holidays.
Availability to work the morning shift (09:00–18:00).
Will be considered as an advantage:
Any additional language will be considered as an advantage.
Deep understanding and experience with financial products and ETDs such as Futures & Options.
By joining us, you can expect:
Unique Opportunity for a career in a global, fast-growing company.
Attractive remuneration package based on qualifications and experience.
Opportunities to learn and grow through our “Employee Training & Development program”.
Birthday and Loyalty benefits.
What to expect from our recruitment process:
First interview with hiring managers or an HR call
Task assessment
Final interview with top management
Make your next Career step and apply NOW!
*
Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis
Location: San Francisco; Seattle; New York City
Workplace: Hybrid
Perplexity is looking for a frontend engineer to build the design system behind every Perplexity product. It is the component library and design language shared across web, iOS, Android, macOS, and Windows – the primitives, tokens, and interaction patterns that every product team builds on top of.
Its users are internal, spanning product teams and a broad range of contributors across the company. The components you build become the foundation all of them rely on. You will develop component APIs that hold up across dozens of consuming surfaces and are easy for other teams to adopt correctly, contribute to the token pipeline that keeps five platforms visually consistent, and maintain a high bar for interaction quality and accessibility.
Tech Stack: React · TypeScript · CSS · Design Tokens
WHAT YOU'LL DO
- Design and build core primitives – overlays, inputs, navigation, feedback – with APIs that stay coherent as consumers multiply
- Work across the design-token pipeline – authoring, generation, and per-platform publishing across web, iOS, Android, macOS, and Windows
- Partner directly with design on the design language itself, translating Figma systems into typed, testable, documented components
- Migrate product surfaces off bespoke implementations onto shared primitives without breaking them
- Build accessible components by default – keyboard, focus, contrast, screen readers – backed by automated coverage
- Support consuming teams through docs, visual regression coverage, and on-call rotation
WHAT WE'RE LOOKING FOR
- 4+ years building production frontend; experience with a design system, component library, or shared UI platform is a plus
- Interest in building reusable components
- Strong React and TypeScript, and CSS
- Working accessibility knowledge (WCAG, ARIA patterns, assistive tech)
- Comfort collaborating closely with designers on the visual and interaction language
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits.
You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one.
You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee.
The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours.
EXAMPLE INITIATIVES
Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md http://CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely.
The golden path — Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access.
The feedback loop — Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out.
Agents in the SDLC — Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy.
RESPONSIBILITIES
- Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement.
- Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo.
- Build frameworks that let other engineers create their own agents without deep LLM expertise.
- Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions.
- Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate.
- Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities.
- Own the safety layer: permissions, secrets handling, audit trails, cost management.
REQUIREMENTS
- Have 4+ years of relevant industry experience building and enabling AI native SDLC
- Strong proficiency in Python and/or Go, building tools other engineers depend on daily.
- Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped.
- Deep personal fluency with AI coding tools and well-formed opinions about where they break down.
- Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide.
- Developer tooling, CI/CD, and Kubernetes/Docker fundamentals.
- Comfort with ambiguity — this space invalidates its own best practices every few months.
- Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Teams across Arcadia already put agents to work enabling clients' clinical, analytics, and operations teams. We use them heavily for our own work, too. Much of the platform foundation is in place. Now it has to handle longer-running workflows, client-facing agents, and PHI at scale.
You'll join the team that owns the platform underneath these agent workflows. This isn't a solo mandate. Your influence comes from what you ship and what other teams build on top of it.
How We Build
Engineers at Arcadia own outcomes end to end: the problem, the design, the code, the rollout, and the result in production. We build alongside AI without handing it our judgment; our automation is governed and transparent, built to strengthen human expertise, not replace it. We have few layers, high agency, deep ownership. We adopt new tools and practices quickly, which lets us move faster than many startups while keeping the discipline a regulated environment demands.
Our agent platform sits on top of governed access to AWS-based petabyte-scale lakehouse data with open table formats, distributed Spark processing, and Kubernetes services. The current implementation has an OSS agent harness and a gateway/router across model providers, all built on a third-party agent framework.
What Success Looks Like
Arcadia product teams should be able to spin up an agent quickly, ship it with confidence, and evolve it over time safely and cost-effectively. The platform provides the building blocks: persistence, workflows, memory, and identity-aware, compliant connectivity to tools. The platform also takes care of the quality attributes: caching, compaction, evals, guardrails, observability, resiliency, and safe handling of PHI.
Teams adopt it because it's the fastest safe path, not because they're told to. You treat it as a product and can show the impact in numbers.
Next: customers bring their own agents to Arcadia, and eventually assemble them from our building blocks.
What You'll Be Doing
Evolve and run our agent platform for both internal and client-facing use cases: the runtime, SDKs, templates, and paved paths that let teams ship agents on Arcadia's data. You write a meaningful share of the code.
Stand up and harden the infrastructure underneath it: IaC, network topology, security controls, and the operational tooling that keeps it running, in close partnership with SRE.
Make quality attributes platform defaults, not per-team projects: evaluation harnesses and regression gates, guardrails and policy enforcement, tracing and telemetry, and resiliency patterns for model, tool, and data failures, plus the inevitable provider churn.
Design for a regulated industry: PHI isolation, least-privilege identity for agents, audit trails, and human review.
Run the platform as an internal product: work with the teams building on it every week, and measure adoption and developer experience.
Partner with domain teams on their hardest agent use cases, and turn what you learn into platform capability.
Own it in production: SLOs, on-call, incident response, and postmortems.
Set the technical bar for how engineers build with AI at Arcadia, and coach Senior Engineers through design partnership and review. Their trajectory is part of your impact.
What You'll Bring
Platforms you've built and run that other engineering teams adopted, from ambiguous beginnings through years of operation, with results you can show.
Deep foundations in cloud-native distributed systems, data infrastructure, and service architecture. You reason from first principles.
Hands-on infrastructure depth: IaC, cloud, security architecture, and running production systems. You can go deep with SRE, not just hand work off to them.
Current, hands-on production coding, and the desire to keep doing it.
Passion for developer experience (DevEx/DevProd) as a discipline.
Writing clear enough to set standards beyond your own work, and influence that comes from credibility, not title.
No healthcare background required. We hire builders from fintech, infrastructure, and consumer scale, and teach the domain.
Would Love for You to Have
Scars from production LLM/agent deployments beyond glossy demos (but we won't ask for 20 years of LLM experience).
Pragmatism about the LLM ecosystem: excited by it, not distracted by it.
Regulated-data experience (HIPAA, PHI, SOC 2 or HITRUST environments).
A public voice through talks, writing, or open source.
What You'll Get
The opportunity to own one of Arcadia's most consequential platform domains and to set its direction for years.
Direct influence on how Arcadia's engineering org adopts AI; your tooling, patterns, and standards become examples others build on.
Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC.
A flexible culture with personality and heart, named a Built In 2026 Best Place to Work.
Work that shows up in patients' lives.
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Manager, Product Applied Science to build and lead a team at the core of Garner's product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is a hands-on management role. You are responsible for the overall technical direction of your squad, building alongside your team of Applied Scientists to solve some of the hardest problems at the company.
This is not a dashboards or descriptive-analytics team. Your team owns production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is leading a research pod at a top hedge fund.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Lead a team of 4-6 — hire, coach, and develop them, hold the bar on both rigor and speed, and help raise that bar across Applied Science
Own the Population Health team and their outputs as a core responsibility
Own your team's roadmap and delivery: what gets built, in what order, and whether it ships
Set technical direction, and get in the weeds to do it — stay close enough to the code and the data to call the approach yourself, whether that's machine learning, optimization, a heuristic, or a simple rule, and set the standard for how your team makes that call
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Put your own hands on the problems where your judgment matters most — the highest-stakes, least-defined work — and deliver the algorithmic step-changes that move metrics like total-cost-of-care savings, steerage, and member engagement
Turn ambiguous business goals into a clear problem set alongside Research, Product, Engineering, and business stakeholders, and represent your team's work to senior leadership
Set the quality bar: review your team's work with rigor, and define the metrics that decide whether a solution is working
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
The ideal candidate has:
6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred
Deep technical credibility, with the range and judgment to lead scientists who are experts in their own right, and the willingness to stay hands-on
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong communication skills, including at the executive level, with a track record of driving alignment across teams and functions
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
This is a unique opportunity to build and lead the team behind Garner's algorithmic systems — shaping how members find better care, and how applied science gets done at Garner, while staying close to the work yourself.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Staff Applied Scientist to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund.
This is a player-coach role. You will be a hands-on-keys Applied Scientist, while also leading a small team that helps you deliver on your roadmap. Your time will be split between your own technical work and working with your team to shape how they approach their problems. This role is a good fit for someone who wants to develop their management toolkit while continuing to work closely on their own technical work, and it can lead either towards management or a deeper senior IC track.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches
Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner
Lead a small team — set their technical direction, unblock them when they're stuck, and share accountability for their growth and the quality of what they ship
Review Applied Science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
The ideal candidate has:
6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound
Strong interest in mentoring or technically leading other Scientists — formal management experience is welcome, but not required
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong communication skills, including at the executive level, with a track record of driving alignment across an organization
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
This is a unique opportunity to work on high-impact problems in healthcare — shaping how members find better care through algorithmic systems that directly influence healthcare outcomes, and helping the scientists around you do the same.
Compensation Transparency:
The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
New York City, NY; San Francisco, CA; Seattle, WA; Washington, DC
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
Limassol, Cyprus
ГибридSan Francisco; Toronto; New York; Montreal; Seattle