Location: New York City Office
COMPANY DESCRIPTION
Today, when you go to your doctor and get referred to a specialist (e.g., for sleep apnea), your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often specialists and medical services are overwhelmed with referrals and the painstakingly manual process it takes to qualify your referral prevents them from getting around to it on time, or sometimes at all. Tennr prevents these delays and denials by making sure every referral gets where it needs to go, with the right info, at the right time. Powered by RaeLM™ Tennr reads, extracts, and acts on every piece of patient information so providers can capture more referrals, slash denials, and reduce delays.
RESPONSIBILITIES
- Own employee lifecycle operations including onboarding, offboarding, role changes, and internal mobility.
- Ensure a world-class onboarding experience that sets new hires up for immediate impact and long-term success.
- Manage HR systems and data (e.g., HRIS, benefits platforms), ensuring accuracy, compliance, and scalability.
- Drive people processes forward by documenting, refining, and improving workflows as the company grows.
- Partner with leaders to support performance cycles, feedback processes, and employee development initiatives. Represent People Ops as a trusted, approachable partner across the organization.
- Support compensation and equity administration in close collaboration with leadership and finance.
- Maintain benefits programs (healthcare, 401k matching, PTO) and act as a knowledgeable, trusted resource for employees.
- Ensure compliance with employment laws, policies, and best practices while keeping things pragmatic and human.
- Champion culture initiatives that reinforce Tennr’s values and strengthen in-office collaboration.
- Analyze people data and surface insights that help leadership make better decisions.
- Support employee relations with discretion, fairness, and strong judgment.
QUALIFICATIONS
- 4+ years of experience in People Operations, HRBP, or a similar role, ideally at a fast-paced, high-growth organization
- Proven ability to run core people processes independently with high attention to detail and a hunger for automation
- Strong understanding of benefits administration, HR systems, and employment compliance.
- Exceptional communication skills
- Comfort operating in ambiguity and building structure where none exists.
- A people-first approach balanced with strong business judgment.
- Excitement about being in-office and contributing to a strong, collaborative culture.
WHY TENNR?
- Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
- Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
- Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
- Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week
- Free lunch! Plus a pantry full of snacks.
BENEFITS
- Beautiful new office at 345 Hudson Street
- Unlimited PTO
- 100% paid employee health benefit options
- Employer funded 401(k) match
- Competitive parental leave
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applicants from Canadian
EST time zones only.
Senior Software Engineer - Session Replay
The Opportunity:
The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.
Session Replay
connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.
This team works at the intersection of:
frontend observability,
backend data processing and storage at scale,
debugging workflows across products,
privacy and access control,
performance and cost constraints at scale.
Session Replay
is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks.
What You’ll Be Doing:
As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:
Own end-to-end technical direction for Session Replay,
spanning frontend, backend, and data systems
Drive the evolution of our backend architecture, including:
Designing systems around columnar/analytical data storage for large-scale session data
Defining data models, ingestion pipelines, and query patterns
Lead the design of investigation workflows,
connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
Make high-leverage architectural decisions
that impact multiple teams and products
Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build
cohesive cross-product experiences
Engage directly with customers
- joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully.
Improve engineering standards, patterns, and operational practices within the team
Mentor engineers and help grow technical leadership within the team
Technologies you'll work with:
Go (backend services and APIs)
Columnar/Analytical data storage (core data storage and querying)
Object storage (S3, GCS, Azure Blob Storage) and MySQL
TypeScript / React (user-facing workflows)
Grafana ecosystem (Mimir, Loki, Tempo, etc.)
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What Makes You a Great Fit:
You are
comfortable working in a remote-first company
; communication is key.
For us, working together means being
collaborative, friendly, kind, and respectful
. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English.
Ability to reason about data-intensive systems
(ingestion, storage, querying, cost trade-offs)
You are
comfortable owning features in ambiguous problem spaces
. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial.
You have a good understanding of
a software development process that takes a user-centered approach
. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value.
You enjoy
working on complex solutions
– Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.
You use
AI tools as a natural part of your engineering workflow
- whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't.
Bonus Points For:
Experience with columnar/analytical databases
Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
Experience building debugging or developer-focused tools.
Familiarity with privacy, security, and access control in data-heavy systems
Experience working on performance-sensitive systems (large datasets, real-time queries, session data)
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
164,490
- CAD
197,389
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: New York, NY
Workplace: Hybrid
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE ROLE
Compliance is an intentional product surface at Rain. Every card we issue, every wallet we open, and every dollar that moves across our rails depends on controls that are correct, auditable, and fast enough not to be felt. We are hiring a Senior Product Manager to own that surface end to end.
You will own the compliance product area across four connected domains: financial crime (KYC/KYB, sanctions, transaction monitoring), licensing and regulatory readiness, card network and issuing-bank obligations, and the compliance tooling our enterprise partners use to run their own programs. As Rain continues to expand its product suite, you will ensure our compliance product serves our customers’ needs with these new products as well.
You will work daily with Compliance, Legal, Risk, Engineering, and Partnerships, and you will be in the room with bank partners, network representatives, and our largest customers' compliance teams. This is an individual contributor role with real scope to grow.
WHAT YOU'LL DO
• Own the KYC and KYB onboarding experience for consumers and businesses in every market we operate in, tracking and optimizing metrics such as conversion, accuracy, and cost per verified user are all yours.
• Build and tune sanctions screening, PEP and adverse media checks, and transaction monitoring, including blockchain analytics for wallet screening and source-of-funds signals.
• Drive down false positives and analyst review time without weakening detection, and define the metrics that prove it.
• Ship the case management, escalation, and SAR/STR workflows our compliance analysts live in every day.
• Translate obligations - state money transmission licensing, EMI and MiCA in the EU, VASP regimes, stablecoin-issuer requirements, Travel Rule, and local equivalents - into requirements engineers can build against.
• Partner with Legal and Compliance to make new-market launches a repeatable motion instead of a one-off scramble: jurisdictional configuration, disclosures, data residency, and reporting.
• Run regulatory change management as a product process, so a rule change becomes a tracked roadmap item rather than a fire drill.
• Own conformance with Visa and Mastercard rules across the programs we run and sponsor - BIN controls, MCC and merchant restrictions, program registration, and network reporting.
• Build the controls, evidence, and attestation tooling our issuing banks and BIN sponsors require, and make audits boring.
• Partner with Risk on disputes, chargebacks, fraud rules, and authorization-time controls where compliance and fraud overlap.
• Turn internal compliance capability into products our partners can use: APIs, dashboards, configurable rule sets, audit logs, and reporting they can hand to their own regulators.
• Serve as the product voice in partner compliance diligence, security reviews, and bank onboarding - and feed what you learn there back into the roadmap.
• Define how much control a partner gets and where Rain holds the line, clearly enough that sales can sell it and engineers can build it.
• Write the strategy and roadmap for compliance product, and defend the sequencing to the exec team.
• Specify precisely. In this domain, an ambiguous requirement is a regulatory finding waiting to happen.
• Instrument everything - pass rates, decision latency, alert volume, review throughput, escalation outcomes - and use it to make the case for what comes next.
You’ll likely succeed if you have
• 8+ years in product management, including at least three years owning compliance, risk, identity, or payments products in a regulated environment.
• Working fluency in AML/CFT: you can hold your own on KYC and KYB standards, sanctions screening logic, monitoring typologies, and SAR workflows without needing a translator.
• Direct experience with card issuing, payments infrastructure, or banking-as-a-service - you understand what an issuing bank, a BIN sponsor, and a network each expect from a program.
• A track record of shipping systems where correctness matters more than a fast demo, and the technical depth to design data models and APIs with engineers rather than around them.
• Comfort with genuine ambiguity. The regulatory picture for stablecoins is still being written, and you will often decide with incomplete information.
• Clear, precise writing. Most of your leverage here comes from documents other people can act on.
Bonus Attributes
• Experience with stablecoins, digital assets, or onchain settlement, including blockchain analytics tools.
• Multi-jurisdiction launch experience across LATAM, APAC, EU, or EMEA.
• Time spent inside a compliance, financial crime, or regulatory function — or a hands-on partnership with one.
• Familiarity with SOC 2, PCI DSS, or similar control and audit frameworks.
THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are looking for candidates in the USA
EST time zones only
.
Senior Software Engineer - Session Replay
The Opportunity:
The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.
Session Replay
connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.
This team works at the intersection of:
frontend observability,
backend data processing and storage at scale,
debugging workflows across products,
privacy and access control,
performance and cost constraints at scale.
Session Replay
is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks.
What You’ll Be Doing:
As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:
Own end-to-end technical direction for Session Replay,
spanning frontend, backend, and data systems
Drive the evolution of our backend architecture, including:
Designing systems around columnar/analytical data storage for large-scale session data
Defining data models, ingestion pipelines, and query patterns
Lead the design of investigation workflows,
connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
Make high-leverage architectural decisions
that impact multiple teams and products
Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build
cohesive cross-product experiences
Engage directly with customers
- joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully.
Improve engineering standards, patterns, and operational practices within the team
Mentor engineers and help grow technical leadership within the team
Technologies you'll work with:
Go (backend services and APIs)
Columnar/Analytical data storage (core data storage and querying)
Object storage (S3, GCS, Azure Blob Storage) and MySQL
TypeScript / React (user-facing workflows)
Grafana ecosystem (Mimir, Loki, Tempo, etc.)
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What Makes You a Great Fit:
You are
comfortable working in a remote-first company
; communication is key.
For us, working together means being
collaborative, friendly, kind, and respectful
. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English.
Ability to reason about data-intensive systems
(ingestion, storage, querying, cost trade-offs)
You are
comfortable owning features in ambiguous problem spaces
. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial.
You have a good understanding of
a software development process that takes a user-centered approach
. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value.
You enjoy
working on complex solutions
– Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.
You use
AI tools as a natural part of your engineering workflow
- whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't.
Bonus Points For:
Experience with columnar/analytical databases
Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
Experience building debugging or developer-focused tools.
Familiarity with privacy, security, and access control in data-heavy systems
Experience working on performance-sensitive systems (large datasets, real-time queries, session data)
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
154,445
- USD
185,334
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Partner Marketing Manager for Global and Regional System Integrators at Anthropic, you'll own marketing for our highest-performing services partners. That includes Global Premier GSIs and the regional systems integrators (RSIs) closing the most partner-attached Claude deals. You'll report to the lead for Services Partner Marketing and work alongside each partner's Partner Account Manager.
You'll build a joint marketing plan with each partner and run executive programs and joint announcements. You'll also turn partner deliveries into the customer proof our field needs. Partners are now attached to a large and fast-growing share of Anthropic's biggest enterprise deals. Your job is to make those partnerships deliver more every quarter.
This role is hands-on. You'll think strategically about each partner relationship while running the campaigns, events and enablement yourself. Our scaled programs team supports the rest of the partner network. You'll focus on the partners where hands-on marketing moves the most business, and use those scaled programs where they fit.
Key responsibilities
Partner Marketing Strategy & Execution
Own joint marketing plans for an assigned group of high-performing GSI and RSI partners, including quarterly planning, campaign calendars, and success metrics tied to target accounts and pipeline goals
Develop joint campaigns and executive programs (CXO dinners, executive briefings, tentpole event activations) aimed at C-suite and senior decision-makers at enterprise customers
Work with Partner Account Managers and the Alliances team to identify priority accounts and build account-based plays that leverage partner relationships
Lead joint announcements from first draft through approvals, holding partner copy to Anthropic's messaging and brand standards
Spot RSIs gaining traction and help them grow into higher tiers
Content, Proof & Enablement
Build joint value propositions, messaging, and enablement materials (pitch decks, solution briefs, case studies) that help partners position Claude with their enterprise clients
Turn partner deliveries into proof: capture wins for sellers, and work with Customer Marketing to produce partner-led customer stories that meet each partner's tier requirements
Get your partners carrying Anthropic's priority messages and launches, and build them into Anthropic's own campaigns with the Campaigns team
Put the team's co-marketing guidelines, campaign kits and self-serve assets to work across your partners
Program Management & Measurement
Lead end-to-end execution with your partners, coordinating across product marketing, demand generation, field marketing, events and agencies
Manage partner funding (MDF/co-op) for your partners and track ROI on joint investments
Track and report partner-sourced and influenced pipeline, story output, and campaign ROI, with 30/60/90-day pipeline tracking on every activation
Represent Anthropic at partner events, executive briefings, and industry conferences as needed
Feed what works back into playbooks the scaled programs team can run across the wider partner network
Minimum qualifications
Have built and run partner marketing programs with Global System Integrators, major consulting firms, or regional systems integrators, and can shift between large firms and smaller, faster-moving ones
Understand enterprise buyer journeys and can create marketing programs that resonate with C-level executives
Are skilled at developing joint value propositions that articulate clear business outcomes for enterprise customers
Build trusted relationships with partner marketing and sales teams, and can move a partner on priorities you don't control
Can own a partner portfolio end to end within a team strategy, and know when to escalate
Are highly organized and detail-oriented, and can run multiple partner plans at once without dropping quality
Write clearly and precisely, with experience creating executive-level content and holding partner copy to a high bar
Are data-driven and comfortable tracking marketing metrics, analyzing performance, and optimizing programs based on results
Thrive in fast-paced, high-growth environments and are comfortable with ambiguity and changing priorities
Have a "get it done" mentality and aren't afraid to jump in wherever needed to ensure program success
Care about the societal impacts of AI and are excited about enabling enterprises to adopt AI responsibly
Preferred qualifications
Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments
Experience in the AI/ML industry or working with AI-powered products
Established relationships within the GSI, consulting or regional SI ecosystem
Worked on the partner side, at a GSI or SI, in alliance or technology partner marketing
Experience with tiered partner programs, including benefits and promotion reviews
Experience producing partner-led customer stories with enterprise customers
Understanding of enterprise AI use cases across different industries and functions
Experience with CRM systems (such as Salesforce) and partner relationship management tools
Used Claude or other AI tools to scale their own marketing work
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco, Seattle, or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. If based in Seattle or New York, this role will require traveling to the San Francisco office once a month. Additionally, this role may require up to 20% of the time for partner meetings and partner events.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$255,000
—
$320,000 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: Austin, in-person
Director, Partner Growth & Strategy
Classification:
Exempt (Salaried)
Reports to:
SVP Business Development
Role Summary
inKind is looking for a Director of Partner Growth & Strategy to build the strategy, systems, technology, and playbooks that power our Account Management organization.
Our Account Managers own relationships with inKind's restaurant partners and play a critical commercial role—helping partners maximize their relationship with inKind, secure additional funding, add locations, renew, and grow over time. Account Managers report directly to our Regional Sales Managers, giving them strong day-to-day sales leadership, coaching, and support.
This role is designed to complement that structure.
The Director of Partner Growth & Strategy will not directly manage the Account Management team. Instead, this person will own
how Account Management works
: developing the processes, sales methodologies, technology, data, training, product improvements, and partner experiences that allow our Account Managers to become more effective and our restaurant partnerships to become more valuable over time.
This is a highly cross-functional role sitting at the intersection of
Sales, Account Management, Product, Operations, and Technology
.
The right person will approach Account Management not simply as a relationship-management function, but as a scalable growth engine. They will constantly ask:
What are our best Account Managers doing differently? How do we turn that into a repeatable process? What should we automate? What should we build? What data should trigger action? And how do we make every Account Manager better?
What You'll Own
Build the Account Management Operating System
Develop and continuously improve the processes, tools, and methodologies used across the Account Management organization.
Create repeatable playbooks for key partner growth motions, including:
Renewals
Additional funding
New and sister-location expansion
Partner referrals
Slow-redemption intervention
High-performing partner expansion
At-risk partner recovery
Adoption of new inKind products and offerings
Define the triggers, data, messaging, collateral, objection handling, workflows, and expected outcomes associated with each motion.
Identify what our highest-performing Account Managers do differently and turn those behaviors into repeatable practices across the organization.
Own the Partner Lifecycle
Design the ideal restaurant partner journey from initial funding through onboarding, activation, growth, additional funding, renewal, and expansion.
Determine which partner interactions should be relationship-driven, technology-enabled, or fully automated.
Build proactive, data-driven engagement strategies so Account Managers know
which partners need attention, why they need attention, and the highest-value action to take next.
Partner with Sales and Operations leadership to continuously reduce friction throughout the partner lifecycle.
Improve Account Management Sales Effectiveness
Build the sales methodology used by Account Managers to sell renewals, additional funding, additional locations, and other products.
Develop pitch frameworks, business reviews, partner-facing materials, objection-handling guides, and other tools that increase conversion.
Partner with Regional Sales Managers to identify coaching opportunities and translate successful field tactics into organization-wide best practices.
Design training and certification programs that continually improve Account Manager commercial capabilities.
Develop structured experiments to test new messaging, offers, processes, and sales techniques—and scale what works.
Drive Technology & Automation
Partner with Product, Engineering, Salesforce, and Operations teams to make Account Management increasingly technology-enabled and scalable.
Identify manual activities that can be automated or moved into self-service experiences.
Help develop systems that proactively identify opportunities and risks across the restaurant portfolio, including:
Partners eligible for additional funding
Upcoming renewal opportunities
Newly opened or missing locations
Changes in redemption or sales pacing
At-risk accounts
Expansion opportunities
Partners requiring intervention
Help define the vision for an Account Management "cockpit" that allows each AM to quickly understand where to focus their time and what action to take.
Help Shape the Partner Product
Serve as a structured voice of the restaurant partner within inKind.
Develop systems for capturing and categorizing partner feedback, objections, product requests, and operational friction.
Partner closely with Product leadership to translate restaurant feedback and Account Manager insights into actionable product opportunities.
Play a key role in shaping the continued development of the inKind Partner Portal and other restaurant-facing technology.
Use data to quantify partner friction and product opportunities rather than relying solely on anecdotal feedback.
Build the Measurement Framework
Develop the KPIs and reporting required to understand Account Management effectiveness and partner health.
Measure performance across areas such as:
Renewal rate
Incremental funding
Location expansion
Partner engagement
Funding eligibility and conversion
Credit pacing
Time from opportunity identification to close
Portfolio growth
Partner retention
Create visibility into performance across Account Managers, regions, partner segments, and lifecycle stages.
Use these insights to identify opportunities for improvement in people, process, product, and technology.
How You'll Work
This role will operate as the connective tissue between our Account Managers and the teams building the systems around them.
Regional Sales Managers will continue to own the day-to-day management, coaching, and commercial performance of Account Managers.
You will own the
system in which they operate
.
You will spend time with Account Managers understanding what happens in the field, with Sales leaders understanding what drives conversion, with Product understanding what we can build, with Operations understanding what we can automate, and with data identifying where the biggest opportunities exist.
Your job is to turn those insights into measurable improvements.
What Success Looks Like
Within your first year, we expect to see:
A clearly defined Account Management methodology and partner lifecycle
Repeatable playbooks for our major renewal and expansion motions
Better visibility into partner health and growth opportunities
Increased renewal and additional-funding conversion
Faster identification and pursuit of expansion opportunities
More consistent performance across Account Managers
Increased Account Manager capacity through automation and self-service
A stronger feedback loop between restaurant partners, Account Management, and Product
Meaningful improvements to our Partner Portal and internal Account Management technology
A culture of continuously testing, measuring, and improving how we grow existing restaurant partnerships
What We're Looking For
We're looking for someone who combines the commercial instincts of a sales leader with the systems thinking of a product or operations leader.
The ideal candidate:
Has experience building or scaling Account Management, Customer Success, Revenue Operations, Sales Strategy, Partner Growth, or similar functions
Has a strong understanding of B2B sales and expansion motions
Is highly analytical and comfortable using data to diagnose problems and identify opportunities
Has experience developing sales processes, playbooks, and training
Understands CRM systems, sales automation, and workflow design
Has experience partnering with Product and Engineering teams
Can translate frontline customer feedback into scalable product and process improvements
Is comfortable designing and running experiments
Has exceptional cross-functional leadership skills
Is equally comfortable talking to an Account Manager about objection handling and a Product Manager about workflow automation
Has a strong bias toward action and measurable outcomes
Experience in restaurants, hospitality, fintech, payments, marketplaces, SaaS, or other multi-location businesses is a plus.
The Person Who Will Thrive Here
You are probably not someone who is satisfied simply managing an existing Account Management playbook.
You want to build a better one.
When one Account Manager significantly outperforms another, you want to understand
why
.
When Account Managers repeatedly perform the same manual task, you want to understand
why it isn't automated
.
When restaurant partners repeatedly raise the same objection, you want to understand whether we should
change the pitch, change the process, or change the product
.
And when something works, you want to figure out how to make it work across the entire organization.
This is an opportunity to build the infrastructure behind a rapidly growing restaurant partner network and help define how inKind manages, grows, and serves those partnerships at scale.
Who we are:
inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards.
Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat.
Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community.
inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions.
By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our
Privacy Policy
. For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Security Analyst on GitLab’s Product Security Vulnerability Operations team, you will help protect GitLab customers by triaging security reports, supporting vulnerability management operations, and coordinating clear communications with security researchers, customers, and internal teams.
You will work closely with PSIRT engineers, Vulnerability Management, Security Engineering, Legal, Customer Success, Support, and Communications. This role is an excellent opportunity for an early-career security prfessional who is curious, organized, detail-oriented, and excited to build expertise in product security response.
This role is open to candidates across North America, though we encourage applications from those based on the West Coast US or West Coast Canada (British Columbia) as the team is looking to expand coverage in the Pacific Time Zone.
What you’ll do
Triage incoming bug bounty reports, including reviewing report quality, validating findings, assessing potential impact, identifying duplicates, and routing reports to the appropriate teams.
Triage vulnerabilities identified through vulnerability management activities and help track them through assessment, remediation, and closure.
Work with PSIRT engineers and development teams to gather technical details, reproduce issues, and clarify affected products, versions, and configurations.
Support severity assessment using frameworks and terminology such as CVE, CVSS, CWE, and OWASP.
Communicate professionally and respectfully with security researchers participating in coordinated vulnerability disclosure and bug bounty programs.
Support GitLab’s role as a CVE Numbering Authority by preparing information for CVE assignment, maintaining accurate records, and helping coordinate CVE-related activities.
Represent GitLab as an acting CNA representative in CVE-related discussions and operations, escalating questions and coordinating with the appropriate internal and external stakeholders.
Draft and coordinate customer-facing communications about security vulnerabilities, fixes, mitigations, and release information in partnership with PSIRT, Legal, Customer Success, Support, and Corporate Communications.
Maintain accurate issue records, timelines, researcher communications, remediation status, and follow-up actions.
Monitor queues and operational metrics to identify trends, aging items, recurring issues, and opportunities to improve response quality and consistency.
Create and improve runbooks, procedures, templates, and other documentation that make vulnerability handling more efficient and transparent.
Participate in incident handoffs, root cause analysis documentation, lessons-learned activities, and product security reviews.
Build technical and operational expertise in PSIRT, bug bounty, vulnerability management, and coordinated vulnerability disclosure.
What you’ll bring
Early-career experience or equivalent education in cybersecurity, software engineering, information technology, or a related field. Relevant internships, coursework, labs, research, customer support, or practical security projects are welcome.
Foundational understanding of software vulnerabilities and security concepts, including web applications, APIs, CI/CD environments, authentication, and authorization.
Familiarity with security terminology such as CVE, CVSS, CWE, OWASP Top 10, and coordinated vulnerability disclosure.
Strong attention to detail and the ability to organize and prioritize multiple reports or work items.
Clear written and verbal communication skills, with the ability to explain technical topics to both technical and non-technical audiences.
Experience with a bug bounty or vulnerability disclosure platform such as HackerOne or Bugcrowd.
Experience reviewing security reports, participating in capture-the-flag exercises, performing vulnerability research, or working with security tooling.
Familiarity with CVE assignment, CNA processes, security advisories, or vulnerability databases.
Nice to have: Basic scripting, log analysis, issue tracking, or data analysis experience; experience writing technical documentation, customer communications, support responses, or operational procedures.
About the team
The GitLab Product Security Vulnerability Operations is a globally distributed team that helps ensure GitLab delivers secure applications customers can trust. VulnOps serves as a central point of contact for external security researchers and helps govern the policies, processes, and guidelines used to address vulnerabilities in GitLab’s supported products.
Team members collaborate across regions using documented processes, automation, and structured handoffs to support vulnerability resolution and ongoing operational improvements.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,000
—
$150,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Vilnius
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Poland
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Serbia
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Romania
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Bulgaria
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Portugal
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Spain
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: New York City Office
COMPANY DESCRIPTION
Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
ROLE DESCRIPTION
As a SDR at Tennr, you'll be at the forefront of our sales efforts, playing a key role in generating new business leads and opportunities. Your focus will be on creating a strong pipeline of prospective clients in the Healthcare and Insurance industries, utilizing your excellent communication skills and knowledge of our AI-enabled solutions.
RESPONSIBILITIES
- Conduct targeted outreach to potential clients in the Healthcare and Insurance sectors, through calls, emails, and social media channels.
- Qualify leads, understanding their needs and determining how Tennr's solutions can address their challenges.
- Schedule meetings and demonstrations between potential clients and our sales team.
- Collaborate with marketing and sales teams to develop and refine lead generation strategies.
- Maintain and update customer information in our CRM system.
- Meet and exceed monthly targets for qualified opportunities.
QUALIFICATIONS
- Prior experience in sales development, lead generation, or a similar role.
- Strong understanding of the Healthcare and Insurance industries is a plus.
- Excellent communication skills, both written and verbal.
- Ability to quickly grasp and articulate complex technological concepts.
- Driven, self-motivated, and results-oriented with a passion for sales.
WHY TENNR?
- Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
- Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
- Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
- Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week
- Free lunch! Plus a pantry full of snacks.
BENEFITS
- Beautiful new office at 345 Hudson Street
- Unlimited PTO
- 100% paid employee health benefit options
- Employer funded 401(k) match
- Competitive parental leave
Location: Office, EU
We are the creators of a new fintech era!
Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.
We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.
Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.
Join us as a Head of Data Platform.
Requirements
:
Education & Experience:
— MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher
— 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify
— Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error
Core Technical Skills — data platform:
— Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production
— Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset
— Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact
— Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting
— Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on
Core Technical Skills — analytics & applied math:
— Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles
— Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query
— BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself
— ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate
Market & Domain Knowledge:
— Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime
— Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms
— Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships
— Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders
— Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks
— Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data
Mindset & Soft Skills:
— Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead
— Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders
— Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates
Responsibilities — Platform:
— Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset
— Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs
— Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace
— Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation
— Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards
— Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships
— Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable
Responsibilities
:
— Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity
— Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap
— After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
22 business days of paid leave.
Additional days off for national holidays.
Location: Limassol, Cyprus
Workplace: remote
Mayflower is an international technology company behind products used by millions of people worldwide. For more than 10 years, we've been growing profitable global businesses, bringing together talented professionals across technology, product, marketing, and operations.
We are looking for a Compliance Operations Manager to take end-to-end ownership of traffic and content compliance across one of our digital platforms.
You will develop and operate a scalable compliance framework for monitoring affiliate partners and digital traffic sources, identifying prohibited or risk activity, investigating incidents, and continuously improving preventive and detective controls.
This is a hands-on ownership role for someone who can independently assess risks, establish effective processes, and turn compliance requirements into practical operational and technical solutions. You will work closely with Product, Engineering, Data, Legal, Risk, and commercial teams.
Job Responsibilities
Own, develop, and update the traffic and content compliance framework, policies, SOPs, and risk-scoring mechanisms.
Audit digital traffic channels, landing pages, and promotional materials to detect prohibited content, cloaking, redirect manipulation, and suspicious attribution patterns.
Lead root-cause investigations into compliance violations, coordinate corrective actions, enforce partner restrictions, and track remediation.
Partner with Product, Engineering, and Data teams to define requirements for automated risk-scoring, internal compliance tools, and external monitoring solutions.
Track compliance metrics, analyse recurring risk trends, and deliver clear, decision-ready reporting to management.
Ensure documentation remains audit-ready for payment partners and regulators; stay updated on payment-network and industry regulatory shifts.
Provide functional direction and quality standards for compliance analysts, and deliver internal training on monitoring and enforcement processes.
You’ll thrive here if you have
5+ years in Compliance Operations, Risk, Fraud Prevention, or Traffic Quality (hands-on experience in traffic compliance, affiliate marketing, and ad networks required).
Solid understanding of tracking signals (URLs, redirects, referrers, cookies, device fingerprints) and ability to assess risk using incomplete attribution data.
Proven background conducting operational audits, implementing SOPs/compliance policies, and managing root-cause incident investigations.
Experienced in team leadership, managing cross-functional initiatives, and translating compliance needs into Product, Engineering, and Data requirements.
Ability to define compliance KPIs, build clear executive reports, and make sound, analytical decisions under pressure.
Upper-Intermediate English or higher.
Nice to Have:
Knowledge of payment provider, acquiring bank, or card network compliance standards.
Experience detecting cloaking, brand misuse, redirect manipulation, and prohibited content.
Familiarity with OSINT, web scraping, SQL/Python, BI tools, or LLM-based automation.
Relevant professional certifications (compliance, auditing, risk, or fraud prevention).
What Success Looks Like
A risk-based traffic and content compliance framework is actively implemented and enforced.
High-risk traffic sources and compliance incidents are quickly identified, audited, and resolved.
Automated and manual monitoring controls effectively reduce repeat violations.
Management receives clear, data-driven visibility into traffic compliance risks.
All processes, evidence, and records remain continuously audit-ready for external partners.
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
Full remote work.
Competitive compensation with a service contract.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most.
Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage.
Career growth in a fast-scaling project with opportunities to influence technical decisions.
A culture of recognition: our peer reward program celebrates contributions from across the team.
This opportunity is also available for those who already live in
Limassol,
Cyprus.
EU-based employment contract and a 3-year Cyprus work visa.
Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
Benefits are provided in accordance with the company’s policies and eligibility criteria.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
Staff Frontend Engineer
An overview of this role
As a Staff Frontend Engineer on the Core DevOps team, you'll provide technical leadership across your team and adjacent teams. You'll solve complex frontend problems, deliver large features with minimal guidance, and improve the architecture and standards that help teams move faster without compromising quality.
You'll work with product, design, engineering managers, and engineers across product groups to shape product experiences and frontend architecture for a global platform. This includes how teams use agentic artificial intelligence in engineering workflows and user experiences.
At GitLab, we build an all-remote, artificial intelligence-powered DevSecOps platform. You'll help shape product experiences and frontend architecture that enable everyone to contribute to and co-create the software that powers our world.
What you’ll do
Lead the technical design and delivery of large, complex frontend initiatives across multiple teams.
Drive frontend platform, design system, and shared architecture strategy for long-term scalability.
Define and improve standards for versioning, testing, documentation, accessibility, security, performance, and maintainability.
Lead modernization of a monolith or legacy frontend architecture toward modular, reusable, and independently deployable systems.
Establish versioned module or host contracts and build, test, deploy, release, and rollback practices for safe operations.
Create shared patterns for dependency management, design system integration, observability, error isolation, and performance budgets.
Guide technical direction through clear written proposals and architectural leadership. Partner with product and engineering leaders on platform roadmaps, technical debt, and investment trade-offs.
Mentor senior and intermediate engineers. Establish guardrails for artificial-intelligence-assisted and agentic workflows that protect code quality, security, privacy, and evaluation standards.
What you’ll bring
A sustained record of technical leadership across teams or a broad product area.
Deep frontend architecture and production experience in complex web applications.
Experience scaling or governing a design system, frontend platform, or shared component architecture.
Experience with modular frontend architecture in production, such as package encapsulation, Web Components, frontend islands, runtime composition, or an equivalent architecture.
Experience creating alignment without formal authority through clear written proposals and decision records.
Experience balancing user outcomes, delivery speed, technical health, and long-term platform investment.
Experience mentoring engineers and shaping standards through code review and documentation, including evaluating and improving artificial-intelligence-assisted or agentic engineering workflows.
Helpful, but not required: experience with Vue, React, Angular, TypeScript, or JavaScript; PostgreSQL, Redis, or object storage; representational state transfer or GraphQL application programming interfaces; Kubernetes, Google Kubernetes Engine, Docker, or Google Cloud Platform; and observability tools such as Prometheus or Sentry.
About the team
On the Core DevOps team, we own core repository capabilities, from Git command-line operations to web-based code exploration. We develop new features and platforms, improve existing capabilities, and improve maintainability, accessibility, performance, and workflows for teams using artificial-intelligence-assisted development tools.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
seniorCanada (Remote)
ГибридseniorNew York, NY
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
For this role, we expect all staff to be able to work from our San Francisco, Seattle, or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation
География найма не уточнена
УдалённоRemote, Canada; Remote, United States; This role is open to candidates across North America, though we encourage applications from those based on the West Coast US or West Coast Canada (British Columbia) as the team is looking to expand coverage in the Pacific Time Zone; The base salary range for this role’s listed level is currently for residents of the United States only
