Location: Australia
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies.
This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion.
You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments.
_______________________________________________________________________
RESPONSIBILITIES
Build and Scale the Professional Services Practice
- Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners.
- Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency.
- Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap.
- Identify offerings that drive product expansion, renewals, and long-term customer value.
- Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners.
Drive Strategic Customer Outcomes
- Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains.
- Lead technical discovery and architecture engagements that span enterprise integration layers
- Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design.
- Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform.
- Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions.
- Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met.
Enable Cross-Functional Success
- Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines.
- Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm.
- Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries.
- Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments.
- Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns.
- Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security.
- Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance.
- Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority.
- Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization.
- Recognition by enterprise customers as a strategic technical advisor.
BONUS
- Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns.
- Background enabling system integrators, consultancies, or partner ecosystems.
- Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government.
- Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Onboard to Docker's mission, values, and operating model.
- Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers.
- Build strong partnerships with Product, Engineering, and Sales functions.
- Plug into the team's rhythm of business (standups, reviews, shadow customer engagements).
FIRST 90 DAYS
- Scope, define SOWs, delivery, and oversight of customer service engagements.
- Participate in the creation of reference architectures for key use cases..
- Participate in initiatives to build out and improve the services department's offerings.
ONE-YEAR OUTLOOK
- Successful delivery and oversight of customer service engagements.
- Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices.
- Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.
Visa sponsorship: Not available for this role.
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Remote (US); Remote (Canada); San Francisco, CA; New York, NY (HQ); Toronto, ON; Miami, FL
Workplace: Remote
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As a Solutions Consultant at Ramp, you will play a crucial role in establishing and nurturing partnerships with potential customers. This involves building trust and confidence through expert demonstrations of Ramp's products and a deep understanding of our prospects' needs. Collaborating closely with Account Executives, Customer Success, and Account Management teams, you will prioritize and develop financial solutions for Ramp's key customers, ensuring that the product aligns with their evolving requirements. Acting as technical and financial experts, you will design integrated solutions, provide strategic advice to prospects, and facilitate communication between internal technical teams and prospects. Solutions Consultants drive customer success from deal evaluation to product activation, influencing product development to continually enhance Ramp's value proposition. This role requires strong technical skills, alongside strong presentation and value selling skills.
WHAT YOU’LL DO
- Collaborate with Ramp Account Executives to showcase technical accounting features and benefits through customized product demos, workflow illustrations, and promoting Ramp’s value proposition
- Develop tailored product solutions based on a deep understanding of integration and configuration options, ensuring effective alignment with customer needs
- Partner with Sales, Product and Partners to advocate for integration development in-line with customer needs
- Support Sales and Post-Sales teams in executing advanced technical and accounting implementations for Ramp
- Evaluate customer requirements for new opportunities, determining Ramp's suitability through use-case analysis, ROI assessments, and technical evaluations during customer discovery
- Work alongside Product, Product Marketing, and Product Operations to create and maintain technical assets and an internal knowledge base of customer use cases and best practices
WHAT YOU’LL NEED
- 2+ years of experience in Solutions Consulting, Sales Engineering, Solutions Architecture, or similar customer-facing roles, focusing on implementing business SaaS solutions and utilizing APIs, preferably within the financial sector
- Bachelor's degree in computer science, engineering, business, finance, accounting or related field
- Proficiency in IdP, HRIS, and/or ERP solutions
- Expertise in accounting systems, controllership needs, and finance/accounting workflows
- Exceptional organizational, project management, and time management abilities
- Strong skills in engineering, system design, and technical specification writing
- Proactive mindset, adaptability, and comfort in a fast-paced, high-growth startup environment
For candidates located in NYC or SF, the pay range for this role is $128,000 - $176,000. For remote candidates located in all other locations, the pay range for this role is $115,000-$159,000.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the team
The People team helps Affirmers cultivate a high-performing, inclusive organization. We focus on three core areas: attracting talent aligned to our mission, enabling growth through people and team development, and retaining employees through thoughtful experiences and rewards. We develop Affirm’s people programs and systems to create a workplace where all employees can thrive and contribute meaningfully. By investing in our people, we create a long-term advantage for the business.
About the role
A great first manager can shape someone's entire experience at work. At Affirm, we're investing in emerging and new people leaders so they can build high-performing teams and help every Affirmer do the most impactful work of their career.
As our Leadership Development Manager, Emerging and New Leaders, you'll shape how aspiring, first-time, and newly hired people leaders build the skills and confidence to lead at Affirm. You'll own the development journey from the moment someone considers becoming a leader through their first year in the role, creating practical, engaging experiences that help leaders navigate real challenges and build high-performing teams.
This is an opportunity to build meaningful development experiences at scale. You'll combine creative learning design, audience insights, and the needs of the business to make leadership development accessible, relevant, and effective in our remote-first environment. Working closely with partners across the People team, you'll have the autonomy to test new ideas, improve existing programs, and make a lasting impact on how leadership takes shape at Affirm.
What you'll do
Own the new-leader experience.
Lead the design, delivery, and continuous improvement of leadership development programs for aspiring, first-time, and newly hired people leaders, including Leading@, Leader 101, and other foundational learning experiences.
Build learning journeys that meet leaders where they are.
Create timely, practical support for key leadership transitions, from preparing for a first management role to navigating performance conversations, coaching employees, and building strong teams.
Design engaging experiences that scale.
Combine interactive workshops, peer learning, self-directed resources, and hands-on practice to help leaders build skills they can apply immediately, wherever they work.
Create opportunities for leaders to learn together.
Build communities and peer learning experiences that help new leaders connect, share challenges, exchange feedback, and grow through one another's experiences.
Turn leadership expectations into everyday actions.
Translate Affirm's leadership expectations into practical tools and experiences that help leaders build self-awareness, coach employees, give feedback, manage performance, and support their teams. Incorporate leadership assessments and coaching where they can deepen learning and accelerate growth.
Partner across the People team.
Work with People Business Partners, Talent Acquisition, Talent Management, and Learning to connect leadership development with hiring, promotions, onboarding, and ongoing employee growth.
Experiment, learn, and improve.
Gather feedback, test new approaches, and use data to understand what's working. Prioritize improvements that make learning more effective and easier to access.
Measure what matters.
Define and track measures of program effectiveness, including skill development, early leadership effectiveness, and performance indicators. Use data and feedback to improve experiences and demonstrate their impact on leaders and teams.
Keep programs running smoothly.
Manage learning resources, communications, vendors, and budgets to deliver consistent, high-quality experiences for a growing leadership audience.
What we look for
8+ years of relevant experience with a Bachelor's degree, 6+ years with a Master's degree, 3+ years with a PhD, or equivalent experience in leadership development, learning and development, talent management, or a related field.
Experience designing and delivering leadership development programs for new or first-time people leaders, with a track record of creating learning experiences that work at scale.
Strong learning and experience design skills, including the ability to create engaging, practical programs that blend live learning, digital resources, and hands-on application.
A product-oriented approach to learning and development, with experience gathering audience insights, prioritizing improvements, and using feedback and data to guide decisions.
Experience building learning communities, peer networks, or cohort-based programs that encourage connection and continued development.
Experience integrating leadership assessments and coaching into development programs to build self-awareness, strengthen leadership skills, and support ongoing growth.
Strong program management and collaboration skills, with the ability to manage competing priorities, build trusted relationships, and influence cross-functional partners to deliver high-quality experiences.
A creative, resourceful approach to solving complex problems, with a willingness to experiment, learn, and continuously improve.
Comfort using data and emerging technologies, including AI tools, to improve learning experiences, streamline processes, and measure impact.
Base Pay Grade
- K
Equity Grade
- 5
Employees new to Affirm typically come in at the start of the pay range.
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
CAN base pay range per year: $112,000 - $172,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the team
The People team helps Affirmers cultivate a high-performing, inclusive organization. We focus on three core areas: attracting talent aligned to our mission, enabling growth through people and team development, and retaining employees through thoughtful experiences and rewards. We develop Affirm’s people programs and systems to create a workplace where all employees can thrive and contribute meaningfully. By investing in our people, we create a long-term advantage for the business.
About the role
A great first manager can shape someone's entire experience at work. At Affirm, we're investing in emerging and new people leaders so they can build high-performing teams and help every Affirmer do the most impactful work of their career.
As our Leadership Development Manager, Emerging and New Leaders, you'll shape how aspiring, first-time, and newly hired people leaders build the skills and confidence to lead at Affirm. You'll own the development journey from the moment someone considers becoming a leader through their first year in the role, creating practical, engaging experiences that help leaders navigate real challenges and build high-performing teams.
This is an opportunity to build meaningful development experiences at scale. You'll combine creative learning design, audience insights, and the needs of the business to make leadership development accessible, relevant, and effective in our remote-first environment. Working closely with partners across the People team, you'll have the autonomy to test new ideas, improve existing programs, and make a lasting impact on how leadership takes shape at Affirm.
What you'll do
Own the new-leader experience.
Lead the design, delivery, and continuous improvement of leadership development programs for aspiring, first-time, and newly hired people leaders, including Leading@, Leader 101, and other foundational learning experiences.
Build learning journeys that meet leaders where they are.
Create timely, practical support for key leadership transitions, from preparing for a first management role to navigating performance conversations, coaching employees, and building strong teams.
Design engaging experiences that scale.
Combine interactive workshops, peer learning, self-directed resources, and hands-on practice to help leaders build skills they can apply immediately, wherever they work.
Create opportunities for leaders to learn together.
Build communities and peer learning experiences that help new leaders connect, share challenges, exchange feedback, and grow through one another's experiences.
Turn leadership expectations into everyday actions.
Translate Affirm's leadership expectations into practical tools and experiences that help leaders build self-awareness, coach employees, give feedback, manage performance, and support their teams. Incorporate leadership assessments and coaching where they can deepen learning and accelerate growth.
Partner across the People team.
Work with People Business Partners, Talent Acquisition, Talent Management, and Learning to connect leadership development with hiring, promotions, onboarding, and ongoing employee growth.
Experiment, learn, and improve.
Gather feedback, test new approaches, and use data to understand what's working. Prioritize improvements that make learning more effective and easier to access.
Measure what matters.
Define and track measures of program effectiveness, including skill development, early leadership effectiveness, and performance indicators. Use data and feedback to improve experiences and demonstrate their impact on leaders and teams.
Keep programs running smoothly.
Manage learning resources, communications, vendors, and budgets to deliver consistent, high-quality experiences for a growing leadership audience.
What we look for
8+ years of relevant experience with a Bachelor's degree, 6+ years with a Master's degree, 3+ years with a PhD, or equivalent experience in leadership development, learning and development, talent management, or a related field.
Experience designing and delivering leadership development programs for new or first-time people leaders, with a track record of creating learning experiences that work at scale.
Strong learning and experience design skills, including the ability to create engaging, practical programs that blend live learning, digital resources, and hands-on application.
A product-oriented approach to learning and development, with experience gathering audience insights, prioritizing improvements, and using feedback and data to guide decisions.
Experience building learning communities, peer networks, or cohort-based programs that encourage connection and continued development.
Experience integrating leadership assessments and coaching into development programs to build self-awareness, strengthen leadership skills, and support ongoing growth.
Strong program management and collaboration skills, with the ability to manage competing priorities, build trusted relationships, and influence cross-functional partners to deliver high-quality experiences.
A creative, resourceful approach to solving complex problems, with a willingness to experiment, learn, and continuously improve.
Comfort using data and emerging technologies, including AI tools, to improve learning experiences, streamline processes, and measure impact.
Base Pay Grade
- K
Equity Grade
- 6
Employees new to Affirm typically come in at the start of the pay range.
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $145,000 - $205,000
USA base pay range (all other U.S. states) per year: $128,000 - $188,000
Please note that visa sponsorship is not available for this position.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Global / Ukraine
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you: join us as a Talent Sourcer!
Requirements
Proven experience in sourcing or lead generation (1.5+ years minimum).
Strong command of outreach strategies across multiple platforms (LinkedIn, GitHub, Telegram, email, Discord, etc.).
Familiarity with technical profiles and/or experience sourcing in IT or Web3 is a strong plus.
Hands-on experience working with ATS, CRM and AI tools.
Ability to manage talent pipelines and segment candidate pools effectively.
Strong communication skills and proactive mindset.
Responsibilities
Build and maintain active pipelines for high-priority roles and complex specializations (Web3, blockchain, crypto focus).
Develop tailored outreach strategies per role and audience.
Partner closely with recruiters to ensure seamless candidate handover.
Expand sourcing channels beyond LinkedIn: direct search via platforms like GitHub, Twitter, niche communities.
Track and report on sourcing funnel metrics.
Continuously research and map niche talent markets.
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.
24 calendar days of paid leave.
Health Insurance.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our
Candidate Privacy Notice
.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role:
Agents are becoming first-class users of the internet. They sign in, call APIs, deploy code, and act on behalf of people and teams. That raises questions the web was never designed to answer: Who is this agent? Who does it work for? What is it allowed to do, for how long, and how do we know?
As an engineer on the Agent Auth and Identity team, you'll help answer those questions. You'll build the systems that let agents and people authenticate, delegate access, and act safely across Vercel and the services our customers connect to. This is foundational work: identity and authorization sit underneath everything we ship, and getting them right for agents will shape how modern software gets built.
The scope is intentionally broad. You might spend one quarter designing how credentials are issued and scoped for autonomous agents, and the next building the developer-facing APIs and SDKs that make secure auth feel effortless. You'll own systems end-to-end, from design through long-term operation in production.
We're looking for engineers who care deeply about security and developer experience in equal measure, enjoy working on problems without established playbooks, and want to define how trust works in an agentic world. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday.
What you'll do:
Design, build, and operate the identity, authentication, and authorization systems that power Vercel and our Customers for both people and agents.
Shape how agents prove who they are, act on behalf of users and teams, and receive scoped, time-bound, auditable access.
Build secure, scalable APIs, services, and SDKs that make auth simple for developers and their agents to adopt.
Work with modern and emerging standards (such as OAuth 2.x, OIDC, and agent-focused protocols) and help influence where they go next.
Lead projects end-to-end: identify opportunities, set technical direction, and deliver improvements in security, reliability, and developer experience.
Participate in the on-call rotation, taking responsibility for the reliability of critical systems.
What you need:
3+ years of experience designing, building, and operating backend systems in production at scale.
Strong proficiency in JavaScript/TypeScript, or a comparable backend language and the willingness to work primarily in TypeScript.
Solid understanding of authentication and authorization concepts, such as sessions, tokens, OAuth/OIDC flows, permission models, and secrets management.
A security-minded approach to engineering: you think about threat models, least privilege, and failure modes as part of design, not as an afterthought.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow: we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The base pay range for this role is $196,000 – $294,000. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: (Multiple States), United Kingdom
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Germany
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), France
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Ireland
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Spain
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Portugal
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Netherlands
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma’s People Partner team helps leaders build strong teams, navigate change, and create an employee experience that grows with the business. We’re looking for a People Partner to support our Chief Information Officer and the organization spanning Business Systems, Program Management, IT, and Customer Operations & Support.
You’ll serve as the dedicated People Partner to the CIO and leadership team, work closely with managers, and act as a go-to resource for employees across North America. You’ll connect the organization to our People-team Centers of Excellence while shaping global functional strategy with regional People Partners in EMEA and APAC.
The CIO organization brings together the teams building Figma’s business systems, enabling employees through technology, driving complex programs, and delivering exceptional customer experiences. As these teams come together and expand their use of AI and automation, you’ll help leaders define how the organization works, build new capabilities, and strengthen connections across functions. Your work will span organizational design, workforce planning, leadership development, career paths, and change strategy, helping teams deliver against their priorities while creating opportunities for employees to grow.
This is a full-time role that can be based in our San Francisco hub or remotely in the US with a strong preference for west coast.
What you’ll do at Figma:
Partner with the CIO and senior leaders as a trusted advisor on organizational effectiveness, leadership, and talent strategy
Help leaders define organizational structures, functional ownership, role architecture, and operating models across IT, Business Systems, Program Management, and Customer Operations
Translate business priorities into a people strategy that supports new capabilities, emerging technology, and evolving workforce needs
Coach leaders and managers, and advance performance management, career development, talent planning, and succession strategies
Lead workforce and capacity planning across salaried and hourly populations and multiple resourcing models
Guide organizational change and strengthen collaboration across teams while balancing business commitments with a sustainable employee experience
Partner with EMEA and APAC People Partners to shape global functional priorities and coordinate support across regions
Collaborate with our People Centers of Excellence, using people data, business insights, and employee feedback to guide decisions and deliver meaningful improvements
We'd love to hear from you if you have:
8+ years of HR or People experience, including at least five years as a People Partner or HR Business Partner and experience advising VP- or C-suite-level leaders
Proven ability to support technical and operational teams, including IT, Business Systems, Engineering, Program Management, Customer Operations, and hourly employee populations
Background in supporting globally distributed organizations through close collaboration with regional People Partners
Strong experience in organizational design, workforce planning, leadership coaching, talent strategy, and change management
Demonstrated ability to build trust, influence senior leaders, and translate business strategy and people insights into practical organizational decisions
While it’s not required, it’s an added plus if you also have:
Background in a high-growth SaaS or technology company
Proven ability to support a CIO organization or help leaders drive alignment across technical, operational, and customer experience functions
Exposure to AI-related transformation initiatives, including the evolution of roles, skills, and career paths
Familiarity with Technical Support, Trust & Safety, contingent-workforce, BPO, or continuous-coverage operating models
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$169,000
—
$245,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Austin
Workplace: OnSite
Restream is looking for a driven and ambitious Account Executive to join our Global Sales team based in Austin, Texas.
As the #1 multi-streaming solution, Restream enables organizations to communicate live with their customers across 20+ channels (YouTube, LinkedIn, Facebook, Instagram, TikTok + more) with the click of a button. Our customers include Fortune 1000 businesses, Media Companies, Sports teams, Governments, Universities and Non-profits.
Restream was founded in 2015 and since then has seen incredible growth. Restream inspires over 11 million people worldwide to share their stories through live video and follow their dreams. We believe that a small but highly driven and focused team can make a lasting impact in people’s lives.
Many of the world’s most important organizations are already using Restream and that number is growing each day. We are building a Sales Organization to better partner with our growing B2B customer base. This is where you come in.
What You'll Do
- This is a hunter sales position. You will develop a robust pipeline and consistently exceed monthly new customer acquisition targets
- Handle in-bound leads inquiring about Restream from first-contact to close
- Identify and engage new potential clients through our self-serve user base (free and paid)
- Creatively prospect for new customers that fit our Ideal customer profile
- Handle the full-sales cycle from outreach, discovery, presentation, negotiation, and close, through a mix of email, social outreach, phone and video calls
- Be the voice of our customers by identifying and representing their needs by collaborating with cross-functional teams
- Become a Product expert, helping organizations across industries understand the value of live-streaming and teaching them to leverage Restream’s suite of products to hit their goals and communicate effectively with their target audiences
- Help build the foundation of a world-class sales organization, influencing strategy, processes, and culture as we enter our next phase of growth
What We Look For
- 3+ years in a quota-carrying hunter sales role with a track record of exceeding your number
- Ambitious and results-oriented, with a strong desire to win and a commitment to creating value for customers along the way
- Strong communicator who builds trust quickly and develops meaningful relationships
- Naturally curious, thoughtful, and strategic driven to deeply understand customers, industries, and business challenges so you can engage prospects with relevance and purpose
- Comfortable working in a fast-paced environment where experimentation, learning, and continuous improvement are valued
- Experience with SaaS, live-streaming and/or video content creation either as an individual or in a business setting is a plus
What We Offer
- An opportunity to sell a best-in-class SaaS product at the intersection of media and tech to the most important businesses and organizations in the world
- Competitive cash compensation and equity packages for you to truly be a part of the Restream journey
- You will report directly to our Chief Revenue Officer
- A commitment to professional development and mentorship in your career
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 Staff Product Manager on the Tenant Scale area within Infrastructure Platforms, you’ll set product direction for how GitLab supports large, complex customers as they grow across departments, projects, and regions. This role focuses on the product choices needed to make tenant data more portable, scalable, and ready for a unified deployment model across GitLab.com, Dedicated, and, over time, Self-Managed. You’ll work on problems that sit at the intersection of product strategy, infrastructure, and customer needs, including how we build a platform to horizontally scale our SaaS architecture, how to enable tenant movement between environments, how isolation and regional requirements are handled, and what needs to be in place to support a more cellular architecture.
At the Staff level, your scope extends beyond a single group. Your direction will inform the broader Infrastructure Platforms direction, you’ll make the investment case for unified deployment capabilities, and you’ll be a recognized authority, inside and outside GitLab, on multi-tenant and cellular SaaS architecture. In your first year, you’ll partner closely with engineering and product peers to define requirements, drive alignment, and move this work from concept into a deployment model teams can build on, while coaching fellow product managers as they pick up work from the shared pool.
What you’ll do
Drive
product strategy and direction for tenant scale and unified deployment capabilities across GitLab.com, Dedicated, and future deployment models, informing the broader Infrastructure Platforms direction and moving this work from concept into a deployment model teams can build on in your first year.
Set
quarterly and annual plans for tenant portability and platform unification, breaking large epics into issues and minimal valuable changes (MVCs) and practicing iteration across multiple groups.
Define
requirements for our unified deployment platform, including the capabilities needed before tenants can be hosted in a unified deployment unit.
Partner
closely with engineering counterparts and highly technical teams to turn infrastructure constraints and platform needs into clear product direction.
Collaborate
with product peers across the platforms organization, including teams working on GitLab.com and adjacent infrastructure areas, and manage with influence to align work that spans more than one group.
Engage
with internal and external customers to understand needs related to isolation, regional deployment, compliance, and operational readiness, using qualitative interviews to find patterns and sharpen problem statements.
Build
business cases for investment in tenant scale and unified deployment, including build, buy, and partner options, the cost of isolation, regionality, and compliance, and the expected benefits.
Facilitate
tradeoff discussions around scalability, tenant encapsulation, deployment consistency, and platform unification, and escalate cleanly to the right level of leadership when decisions or progress are blocked.
Translate
complex technical concepts into product plans, priorities, and documentation that align distributed teams on delivery milestones for tenant portability and platform unification, using error budgets and other performance indicators to inform direction.
Represent
GitLab as a trusted voice on cellular architecture and tenant scale in customer calls, events, and other external forums.
Coach
fellow product managers on direction updates, customer validation, and GitLab’s architecture and tech stack, and support a collaborative team model where product managers share ownership across a common pool of work and step into the areas where they can have the most impact.
What you’ll bring
Experience
managing product work in technical domains such as infrastructure, scalability, platform architecture, software delivery, or cloud services, with results delivered across a range of product areas rather than a single one.
Ability
to work effectively with deeply technical engineering teams and build credibility in discussions about system design, deployment models, and platform constraints.
Knowledge
of how SaaS or platform-based systems scale, including concepts such as multitenancy, horizontal scalability, autoscaling, workload isolation, and production readiness, and the ability to build a deep understanding of GitLab’s architecture and tech stack and coach others on it.
Comfort
working with customers or internal stakeholders on complex requirements, including operational, compliance, or regional deployment needs.
Skill
in turning ambiguous technical problems into clear product strategy, quarterly and annual plans, priorities, and actionable work.
Expertise
in qualitative customer interviewing and product validation, with the ability to teach those techniques to others.
Experience
building business cases, including weighing build, buy, and partner options and forecasting benefits against the competitive landscape.
Experience
collaborating across product, engineering, user experience, and other cross-functional partners in a distributed environment, using iteration and influence to raise the performance of peers beyond your own group.
Strength
in clear written and verbal communication, especially when explaining complex infrastructure topics to different audiences, with excellent presentation skills at every level of the company.
Recognition
as a thought leader in a relevant domain, internally and externally, for example through speaking, writing, or representing your company at customer events and conferences.
Openness
to candidates who bring transferable experience from engineering, technical support, or adjacent product roles relevant to large-scale platforms.
About the team
The team sits within Infrastructure Platforms and works on foundational platform capabilities. It partners closely with engineering, adjacent product managers, and internal customers across regions, with a strong emphasis on GitLab’s asynchronous working style and long-term platform thinking. Product managers on the team share ownership of a common pool of work; at the Staff level, you’ll help guide how that work is prioritized and mentor teammates as they take it on.
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
$168,000
—
$285,600 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: Jakarta, Indonesia
Workplace: hybrid
At inDrive, we're not just building a ride-hailing app — we're building a financial platform at global scale. Our lending product is one of the fastest-growing verticals in the company. We're looking for a Senior Product Analyst who thrives where data work directly drives product and revenue decisions.
This is a rare combination: the stability of a well-funded global company with the speed and ownership of an early-stage product. If you want your analysis to shape a product used by millions, we'd love to talk.
Key Responsibilities
Define the metrics that matter — design, calculate, and monitor KPIs for new product features and initiatives across the credit funnel
Drive funnel optimization — identify where users drop off, why, and which levers move conversion at each stage
Surface growth opportunities — dig into data to find product directions worth betting on
Assess business value — model expected profit from new projects and features before launch, and track actual vs. forecast after
Run A/B experiments end-to-end — from hypothesis and test design through statistical analysis to rollout decisions
Define pricing strategy — run tests and analyze how rate, term, and eligibility settings affect conversion, default rates, and portfolio health
Build the analytics foundation — maintain documentation, create data marts, and partner with the Data team to ensure clean, reliable product data
Translate findings into decisions — deliver crisp recommendations to product and business teams so insights actually change what gets built
Skills, Knowledge and Expertise
3+ years in product analytics or data science, with a track record of influencing product decisions — not just reporting numbers
Strong statistical foundation: A/B testing, causal inference, time series
Advanced SQL — comfortable writing and optimizing complex queries across large datasets
Python proficiency — pandas, numpy, and the rest of the standard data stack
Experience with BI and visualization tools: Redash, Tableau, or similar
Structured thinking and a product mindset — you balance analytical rigor with business pragmatism
Bonus: background in fintech, lending, or marketplace products at scale
English: Professional Working Proficiency
Why join us
Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.
Location: Limassol, Cyprus
Workplace: hybrid
We are looking for an expert who will develop and automate decision-making algorithms in the area of incentives. Your core focus will be to design and deploy adaptive data-driven mechanisms that determine which goal to set for which user, and what reward to offer, in order to maximize the incremental effect for every dollar invested.
Key Responsibilities
Intervention Algorithm Automation:
Design and implement incentive management systems as closed-loop feedback control systems to continuously optimize budget efficiency and marketplace balance.
Incremental Impact Maximization (Uplift Modeling):
Create and advance causal inference and uplift models (e.g., meta-learners) to evaluate the true incremental value of rewards and target personalized offers.
Behavioral Modeling & Business Impact:
Research and model the non-linear responses of marketplace participants to changing conditions (prices, incentive terms), translating these insights into algorithmic strategies that drive user retention and lifetime value (LTV).
End-to-End Development (Research-to-Production):
Translate research models into production-grade code, developing modular frameworks and monitoring systems to ensure algorithms operate reliably in real time.
Cross-Functional Leadership:
Act as a strategic partner to product managers and engineers, driving the product roadmap through data-driven storytelling and aligning complex algorithmic solutions with overarching business goals.
Skills, Knowledge and Expertise
Professional experience in Data Analytics, Data Science, Applied Research, or algorithmic product optimization, preferably within a dynamic, incentive-driven environment.
Strong analytical mindset with expertise in Machine Learning, behavioral modeling, and causal inference.
Solid foundation in mathematics and economics, including knowledge of elasticity models, incentive response dynamics, and retention analytics.
Advanced SQL and Python proficiency, with experience working with large datasets and the ability to translate research models into production-grade decision logic.
Advanced Experimentation
:
Experience with A/B testing frameworks, switchback experiments, and evaluating causal effects in networked systems with feedback loops.
Strong communication and stakeholder management skills, with the ability to collaborate closely with engineering teams and influence product decision-making.
Why join us
Help us challenge injustice by creating fair choices for millions of people across in 47 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Annual salary from EUR 70 700 gross
Final benefits may vary depending on the location.
УдалённоRemote (US); Remote (Canada); San Francisco, CA; New York, NY (HQ); Toronto, ON; Miami, FL; Relocation expense coverage to NYC or SF (if needed)
УдалённоRemote Canada
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.
Автоотклики