Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
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 Software Engineer, Enterprise Product, you’ll solve the hardest problems standing between Ramp and the world’s largest and most complex companies — shaping and shipping the product capabilities that unlock our growth upmarket. You'll be part of our Core FDE org, which is an agent-first, high-pace, customer-facing engineering team. On FDE, you will interact directly with customers and deliver solutions end to end — understanding pain points, shaping product decisions, and building agents that autonomously expand Ramp's capabilities.
Check out our Engineering Blog https://engineering.ramp.com/ and FDE post https://engineering.ramp.com/post/forward-deployed-engineering for more context on our work!
WHAT YOU’LL DO
- Deliver software end to end that meet the needs of our largest customers — understanding user pain points, scoping product specs, and building agents that autonomously implement solutions.
- Collaborate closely with Sales, Solutions, Customer Success, and Account Management to close deals, activate customers, and expand the value Ramp provides over time.
- Drive the core product engineering roadmap through our embedding model — specializing within a core product area to develop deep domain expertise and make prioritization calls on when to build a custom solution vs. accelerate a broader initiative.
WHAT YOU NEED
- 3+ years of software engineering experience preferred
- Extensive experience building with and for agents
- Track record of shipping high-quality products at scale
- Comfort and excitement to be customer-facing
- Desire to work in a fast-paced environment, continuously grow, and master your craft
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
ГибридNew York, NY (HQ); San Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
Location: Domestic
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
About the Position
Dexis seeks a highly experienced Strategic Advisor Consultant to support capture and business development across opportunities within the U.S. Department of State’s Office of the Under Secretary for Public Diplomacy and Public Affairs (R) and its family of bureaus and offices. The Advisor will help Dexis assess and pursue potential requirements for executive-office support, staffing and human capital services, acquisition support, and other public diplomacy program and professional services. Working closely with the Federal Civilian Account business development team and teaming partners, the Advisor will refine our understanding of client needs, validate opportunity status and acquisition plans, and facilitate appropriate strategic introductions throughout the capture and bid process.
This is a 1099 consultant position with a limited, part-time commitment on an as-needed basis. It will be based remotely in the continental United States, with periodic meetings in the Washington, DC area as needed.
Responsibilities
Provide current strategic insight into R’s priorities, organizational environment, staffing and operational needs, and decision-making processes across its bureaus and offices.
Advise Dexis leadership on market positioning and client engagement strategies for professional services opportunities across R.
Help the capture team understand the R organization, including key leadership, executive-office and bureau stakeholders, program managers, end users, and acquisition officials who shape requirements and procurement decisions.
Assess whether anticipated opportunities are likely to proceed and validate planned solicitation timelines, funding, acquisition strategies, contract vehicles, competitive approaches, and potential small-business or other socioeconomic set-asides.
Provide insight into relevant incumbent contracts, contractors and personnel, likely competitors, and potential staffing or teaming considerations across R opportunities.
Validate customer needs across staffing and human capital services, acquisition support, administrative and management support, public diplomacy program support, and other professional services.
Support development of credible staffing and teaming strategies, including identification of senior leaders and subject matter experts with experience serving R bureaus and offices.
Assist the team in gathering market and cost intelligence, including realistic compensation and rate information for anticipated labor categories and any required cleared personnel.
Identify and facilitate appropriate introductions with relevant stakeholders and other knowledgeable individuals throughout the capture and bid process.
Identify critical intelligence gaps, test capture assumptions, and provide candid guidance on opportunity prioritization, competitive positioning, risks, and solution development.
Participate in periodic strategy sessions and serve as a trusted advisor across multiple opportunities throughout the pre-solicitation, capture, and bid phases.
Qualifications
Minimum 10 years of experience supporting U.S. Government programs, with
significant experience
working with or supporting the U.S. Department of State.
Recent, direct familiarity with the Office of the Under Secretary for Public Diplomacy and Public Affairs and its bureaus and offices, including executive-office, bureau, or program operations, is required.
Deep understanding of how R bureaus and offices work together, manage resources, and define, procure, oversee, and evaluate professional services requirements is required.
Experience with one or more relevant service areas, such as staffing and human capital, acquisition support, administrative and management support, or public diplomacy program support.
Demonstrated ability to provide actionable client, incumbent, competitive, acquisition, staffing, and pricing intelligence while exercising appropriate discretion and judgment.
Demonstrated experience navigating the federal procurement process and the dynamic government contracting environment.
Demonstrated track record of engagement with senior government officials, executive-office or bureau leaders, program stakeholders, acquisition personnel, or contract leadership.
Prior experience advising capture or proposal teams targeting Department of State public diplomacy or related professional services opportunities is strongly preferred.
Discretion, professionalism, sound judgment, and a strong sense of integrity in facilitating client-facing interactions and handling sensitive business information.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: 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 Senior Solutions Architect in GitLab's Southern EMEA team, you'll be a trusted advisor to GitLab prospects and customers in the MEA region, helping them understand how GitLab's AI-powered DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle. You'll guide organizations through their digital transformation journeys, from planning through monitoring, using your technical expertise, understanding of cloud and modern software development practices, and strong customer empathy.
Reporting to a regional Solutions Architect Manager and partnering closely with Account Executives and cross-functional teams, you'll own technical evaluations, including proofs of value and workshops, shape solution architectures, and serve as the voice of the customer back to Product Management. You'll focus on driving successful platform adoption, influencing revenue growth through solution selling, and building long-term, trust-based relationships that showcase GitLab's differentiated position in an AI-driven DevSecOps landscape.
What you’ll do
Lead technical discovery, demos, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full lifecycle.
Drive the technical evaluation process as the directly responsible individual, including solution design, proof of concept or proof of value ownership, workshop design, and the technical components of tenders, audits, and value stream assessments.
Collaborate with Account Executives and regional sales teams across Italy to shape and execute account strategies that support new customer acquisition and expansion.
Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven transformation and enabling them to become GitLab advocates.
Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment.
Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning.
Maintain and extend your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies, creating reusable examples, best practice guidance, and technical collateral for customers and partners.
Invest in your own growth and development through ongoing learning, mentorship, and knowledge sharing to continuously improve the impact of the Solutions Architect team.
What you’ll bring
Experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation.
Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices and continuous integration and continuous deployment workflows.
Hands-on experience with GitLab or comparable source control, continuous integration and continuous deployment, and collaboration platforms, and the ability to map platform capabilities to customer use cases.
Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams.
Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments.
Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers.
Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing.
Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields.
Fluency in Arabic.
About the team
The Solutions Architect team is part of GitLab's Sales organization and serves as the technical counterpart to Account Executives, with this role focused on opportunities across Southern EMEA and reporting into a regional Solutions Architect Manager. The team helps customers realize the full value of GitLab's AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. The team is focused on helping customers modernize end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape.
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: 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 SLED Solutions Architect, you'll be a trusted technical advisor to State, Local, and Education customers in every state east of the Mississippi River: state agencies, counties, cities, special districts, community colleges, and public, private, and research universities. These organizations deliver services residents and students rely on every day, often with lean IT teams, aging systems, fixed fiscal-year budgets, and growing cybersecurity threats.
You'll show them how GitLab's DevSecOps platform and AI capabilities, including the GitLab Duo Agent Platform, help them modernize legacy applications, protect sensitive resident and student data, meet state and sector compliance requirements, and do more with the staff they have. You'll own the technical evaluation and validation stages of the sales cycle, guide customers through proofs of concept and value, and translate platform capabilities into outcomes that agency leaders, CIOs, CISOs, and procurement officers can defend in a budget request or an RFP evaluation.
You'll partner closely with SLED account executives, channel partners, and systems integrators, provide technical guidance from first conversation through successful deployment, and bring the voice of the SLED customer back into Product, Sales, and Marketing.
Location and travel:
The territory covers all states east of the Mississippi River. The candidate must reside in the Northeast part of the United States. This role requires up to 50% travel.
What you'll do
Engage SLED customers onsite and remotely, from state capitals to university campuses, with tailored demos, technical presentations, and hands-on workshops that tie GitLab to their mission.
Partner with SLED account executives to shape account strategies that align with each customer's fiscal year budget cycle, legislative appropriations, IT modernization plans, and grant or federal pass through funding.
Own the technical evaluation process, including proof of concept (POC) and proof of value (POV) design and delivery, and provide technical responses for RFIs, RFPs, RFQs, and security questionnaires.
Support purchases made through cooperative purchasing agreements and statewide contract vehicles by working with channel and reseller partners.
Guide customers through state and sector security requirements, such as GovRAMP and NIST frameworks, and show how GitLab's built in security, auditability, and deployment options reduce compliance burden.
Help agencies and institutions modernize legacy and mainframe applications, such as unemployment insurance, tax, DMV, benefits, and student information systems, using GitLab and AI-assisted development to lower risk and offset shrinking pools of legacy skilled staff.
Advise customers on adopting AI responsibly, including the GitLab Duo Agent Platform, in line with state AI policies, governance boards, and data privacy requirements.
Lead the creation of Customer Success Plans that capture technical success criteria and handoff details, ensuring a smooth path to deployment and adoption, often for IT teams with limited capacity.
Work alongside Account Executives to build data driven business cases that quantify delivery bottlenecks, giving customers a defensible basis for budget requests and clear evidence of return on taxpayer investment.
Build relationships with CIOs, CISOs, agency directors, enterprise architects, faculty, research computing leaders, and procurement officers so they become advocates for GitLab, including across agencies and campuses that share services.
Collaborate with systems integrators and state IT shared-services organizations to scale GitLab adoption across multiple agencies, local governments, or campuses.
Serve as the SLED customer advocate internally, channeling feedback on procurement, compliance, and deployment needs to Product, Sales, and Marketing.
Stay current on GitLab and related technologies, and create reusable SLED demos, reference architectures, and assets for customers and partners.
What you'll bring
Background in technical pre-sales, consulting, or IT roles serving state agencies, local governments, or public, private, and research universities, where you guided customers through evaluations and solution design.
Working knowledge of how SLED organizations buy technology: RFP and RFI cycles, cooperative purchasing agreements, statewide contracts, fiscal-year budgeting, and the role of resellers and systems integrators.
Hands-on experience using GitLab and familiarity with modern software development and operations practices, such as CI/CD, DevSecOps, and automation.
Experience with cloud, hybrid, and self-managed deployments in regulated environments, including government cloud regions, and an understanding of data residency and sovereignty concerns.
Familiarity with security and compliance frameworks common in SLED, such as GovRAMP and NIST SP 800-53.
Ability to connect technical solutions to mission outcomes, such as resident service delivery, cyber resilience, cost avoidance, and workforce efficiency, and to advise senior stakeholders on tradeoffs and options.
Strong communication and relationship-building skills, including presenting to both technical teams and non-technical leaders such as agency heads, procurement officers, and university administrators.
Openness to learning, seeking feedback, and building new skills, including familiarity with GitLab's Solutions Architect handbook and related resources.
Nice to have
Prior experience working in or for state or local government IT, or a university IT or research computing organization.
Experience with legacy or mainframe modernization programs.
Familiarity with AI governance practices in the public sector, such as AI use-case inventories, acceptable-use policies, and risk assessments.
About the team
The SLED Solutions Architect role is part of GitLab's Public Sector Solutions Architect team, a group of trusted technical advisors who help government and education customers understand, evaluate, and adopt the GitLab DevSecOps platform. The team is distributed and collaborates asynchronously across time zones using GitLab and our handbook-first practices to share knowledge, reusable examples, and best practices.
On the SLED team, you'll help customers solve challenges unique to state, local, and education organizations: protecting resident and student data, modernizing mission-critical legacy systems, buying through public procurement processes, and stretching limited IT staff and budgets. You'll also bring SLED customer insights back to GitLab to shape product direction.
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: San Francisco, CA; San Jose, CA; Seattle, WA
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 Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.
As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.
The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities.
_______________________________________________________________________
RESPONSIBILITIES
Build in Production with Customers
- Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary.
- Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress.
- Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling.
- Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it.
Make AI Adoption Safe and Governable
- Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production.
- Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience.
- Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds
- Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control.
Partner with Solutions Architecture and the Field
- Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary.
- Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns.
- Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption.
Close the Loop with Product and Engineering
- As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services.
- Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t.
- Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap.
Shape the Practice
- Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners.
- Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team.
- Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services.
- Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns.
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
_______________________________________________________________________
QUALIFICATIONS
Required
- 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience.
- Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence.
- Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews.
- Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals.
- Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior.
- Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD.
- Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP).
- Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality.
- Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority.
- Proven track record of technical mentorship and of raising the bar for the engineers around you.
- High agency and comfort operating autonomously in distributed, remote-first teams.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Travel to customer sites to build in person with customer teams, estimated at up to 50%.
Bonus
- Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner.
- Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings.
- Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors.
- Contributions to open source projects in the container, Kubernetes, or MCP ecosystems.
- Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $198K – $319K base
______________________________________________________________________
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: Bangalore, India
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Seoul, South Korea
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Sydney, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
Company introduction:
Compass Pathways plc (Nasdaq: CMPS) is a biotechnology company dedicated to unlocking urgently needed new treatment options in mental health care.
The Company is headquartered in London, UK, with a U.S. office in New Jersey. We believe mental health patients deserve the possibility of a better future. Our initial focus is developing COMP360 psilocybin, a proprietary, investigational, synthetic psilocybin treatment under evaluation for treatment-resistant depression (TRD) and post-traumatic stress disorder (PTSD). COMP360 is a potentially first-in-class treatment and has Breakthrough Therapy designation from the U.S. Food and Drug Administration (FDA), as well as Innovative Licensing and Access Pathway (ILAP) designation in the UK for TRD.
We are leading the world’s largest classic psychedelic clinical program in TRD, and building upon that robust foundation, we are executing a late-stage trial evaluating COMP360 for PTSD, another condition with high unmet need. Our goal is to advance treatments that move the field of psychiatry towards treatment options that offer rapid onset and sustained durability with infrequent dosing. -
Compass Pathways
Job overview:
The Medical Director, Medical Affairs will serve as a subject matter expert representing professional medical expertise within the Medical Affairs function, with an initial focus on treatment-resistant depression (TRD) and investigational psychedelic therapeutics. This individual will provide clinical perspective, medical judgment, and thought partnership to Medical Affairs leadership and functional teams.
The Medical Director will contribute to the execution of Medical Affairs strategy through critical evaluation of clinical evidence, development of evidence-generation initiatives, and engagement with external medical experts. Working collaboratively with Medical Affairs and cross-functional partners, the Medical Director will help ensure that scientific initiatives are clinically relevant, evidence-based, and responsive to evolving needs in psychiatric care.
The successful candidate will bring deep expertise in psychiatry, the ability to critically analyze emerging evidence, and established relationships within the medical and scientific community. This individual will be expected to proactively identify important clinical knowledge gaps, recommend approaches to addressing them, and take an active role in developing and advancing research initiatives that inform clinical practice.
Location:
Remote in the United States.
Reports to:
Executive Director, Medical Affairs.
Roles and Responsibilities
(include but are not limited to)
:
Therapeutic Area Expertise and Medical Guidance
Serve as a medical subject matter expert in TRD, interventional psychiatry, and emerging psychiatric treatments
Provide clinical insights and recommendations to inform Medical Affairs priorities and initiatives
Critically evaluate clinical trial results, scientific literature, and evolving treatment guidelines to inform medical strategy and decision-making
Partner with Scientific Communications, Medical Information, Medical Education, and Field Medical leadership to ensure clinical relevance and consistency across Medical Affairs activities
Identify emerging developments and clinical practice considerations that may inform future Medical Affairs priorities
Provide medical expertise to support future therapeutic indications and pipeline opportunities, as appropriate
Evidence Generation and Research
Lead the development of Medical Affairs research proposals and evidence-generation initiatives aligned with organizational scientific priorities
Collaborate with Clinical Development, Clinical Sciences, Biostatistics, HEOR, and other stakeholders to develop rigorous research concepts, protocols, and analysis plans
Provide medical oversight and direction for Medical Affairs-sponsored research, including real-world evidence studies, observational research, and other post-approval evidence-generation activities, as appropriate
Support the evaluation of investigator-initiated research proposals and external research collaborations
Contribute to the interpretation and dissemination of research findings through publications, congress presentations, and other appropriate channels
External Scientific Engagement
Lead or contribute to advisory boards, expert consultations, and other external engagements to identify unmet needs, evidence gaps, and evolving clinical practice considerations
Represent Medical Affairs in scientific discussions at medical congresses, professional society meetings, and other appropriate forums
Engage external experts to better understand emerging clinical evidence, treatment practices, and challenges associated with the implementation of novel psychiatric interventions
Collaborate with Field Medical leadership to support scientific exchange priorities, therapeutic area education, and the interpretation of field medical insights
Support external research collaborations that advance understanding of TRD and emerging treatment approaches
Scientific Communications and Medical Review
Provide medical expertise to support the development of publications, scientific presentations, medical education materials, and Medical Information resources
Collaborate with Scientific Communications and Medical Information leadership to ensure materials accurately reflect the available evidence and address clinically meaningful questions
Serve as a Medical Affairs representative on the Medical, Legal, and Regulatory (MLR) review committee, providing medical and scientific review of materials in accordance with established company procedures
Evaluate scientific claims, clinical data presentations, and medical content for accuracy, balance, clinical relevance, and consistency with the available evidence
Collaborate with Regulatory, Legal, Compliance, and other stakeholders to support appropriate scientific communication in accordance with applicable regulations, company policies, and review procedures
Provide medical expertise to support responses to complex scientific inquiries and emerging questions from healthcare professionals
Cross-Functional Collaboration
Serve as a key medical partner to Clinical Development, Clinical Sciences, Regulatory, Safety, HEOR, and other functions on matters relevant to Medical Affairs
Facilitate the exchange of clinical insights and perspectives between Medical Affairs and internal stakeholders
Contribute to cross-functional discussions involving clinical evidence, treatment implementation, safety considerations, and future research opportunities
Support alignment of Medical Affairs activities with broader clinical development and organizational priorities
Collaborate with Medical Affairs functional leaders to identify needs, address emerging questions, and support effective execution of medical initiatives
Candidate Profile:
Required
MD or DO degree from an accredited medical institution
Clinical training and demonstrated expertise in psychiatry, with strong knowledge of treatment-resistant depression and contemporary psychiatric treatment approaches
Experience in clinical research, academic medicine, pharmaceutical development, Medical Affairs, or a related scientific or clinical setting
Demonstrated ability to critically evaluate clinical research, interpret complex data, and communicate findings to diverse medical and scientific audiences
Experience contributing to clinical research, scientific publications, medical education, or other evidence-generation activities
Strong understanding of clinical research methodology, evidence-based medicine, and principles of scientific communication
Excellent interpersonal, communication, and collaboration skills, with the ability to engage effectively with senior medical and scientific stakeholders
Demonstrated ability to manage multiple initiatives and work effectively across multidisciplinary teams
Preferred
Board certification in Psychiatry
Experience in interventional psychiatry, including clinical or research experience with treatments such as esketamine, ketamine, transcranial magnetic stimulation, electroconvulsive therapy, or psychedelic therapeutics
Prior experience in pharmaceutical or biotechnology Medical Affairs, Clinical Development, or a related industry function
Experience developing research proposals, clinical protocols, real-world evidence studies, or investigator-initiated research programs
Established relationships within psychiatry, particularly in TRD, interventional psychiatry, or emerging psychiatric therapeutics
Experience leading scientific advisory boards, expert consensus initiatives, or other external scientific collaborations
Familiarity with pharmaceutical medical review processes, MLR governance, and regulatory requirements governing scientific communications
Experience supporting late-stage clinical development, product launch preparation, or early commercialization activities
Key Competencies
Clinical Expertise and Judgment: Strong understanding of psychiatric disorders and treatment approaches, with the ability to evaluate emerging evidence and provide sound medical recommendations
Evidence Generation: Ability to identify meaningful research questions and develop feasible approaches to addressing them
Cross-Functional Collaboration: Ability to influence decisions and advance initiatives across multidisciplinary teams without direct reporting authority
Scientific Communication: Ability to clearly articulate complex clinical concepts and evidence to internal and external audiences
External Engagement: Ability to establish credibility and build productive relationships with clinical experts and research collaborators
Initiative and Adaptability: Proactive problem-solving and the ability to operate effectively in a growing organization
Compensation Description (annually):
Our compensation package for permanent hires includes base salary, discretionary bonus, and equity, alongside our comprehensive benefits offering.
Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.
【Base salary per annum】:
$270,000
—
$320,000 USD
Benefits:
For an overview of our benefits package and compensation information, please visit "
Joins us - Our Benefits
".
These include f
lexibility & generous time off, parental & reproductive support, health & medical, mental health & wellbeing and Financial health.
Equal opportunities:
Reasonable accommodation
We are committed to building a workplace where everyone’s wellbeing matters. If you need reasonable accommodation during the interview process to be at your best, please let our recruiting team know.
UK applicants
We are proud of our commitment to diversity and equality (pursuant to the Equality Act 2010). We do not discriminate based upon race, religion or belief, colour, nationality, ethnic or national origin, gender, pregnancy or maternity, marital or civil partner status, sexual orientation, gender reassignment, age or disability.
US applicants
Compass Pathways is proud to be an equal opportunity employer. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, and related medical conditions), ethnicity, age, disability, sexual orientation, gender identity, gender expression, military service, genetic information, familial or marital status, or any other status, category, or characteristic protected by applicable law.
Sponsorship
:
Unfortunately, we cannot sponsor employment visas and can only accept applications if you have employment rights in the country to which you are applying.
Data Privacy:
All data is confidential and protected by all legal and data privacy requirements, please see our recruitment
Privacy Notice
to learn more about how we process personal data.
Location: US Remote
Workplace: Remote
ABOUT THE ROLE
Cyberhaven is looking for a hands-on Technical Enablement Manager to build and run technical enablement for our Sales Engineers, Solutions Architects, Professional Services Engineers, Data Protection Analysts and other technical GTM roles. You’ll be an individual contributor who owns the programs, content, and labs that make our technical teams fluent in the Cyberhaven platform and the data security landscape. You’ll take strong programs already in motion and make them scalable and measurable, and you’ll build new ones as we grow.
The role has three priorities:
- Accelerate technical readiness through onboarding, certifications, ongoing technical development, and product-release enablement.
- Strengthen technical execution across pre-sales and post-sales, including discovery, demos, POCs, and architecture conversations, and reinforce consistent use of Cyberhaven’s value-selling methodology.
- Scale enablement impact through reusable technical content, hands-on labs, AI, performance data, clear governance, and measurement.
WHAT YOU’LL DO
- Own technical onboarding for SEs and other technical GTM roles, including role-based ramp plans, hands-on labs, readiness milestones, and certifications.
- Manage the technical training calendar, covering product deep dives, architecture, integrations, deployment, competitive landscape, and technical selling skills.
- Build and maintain hands-on learning resources, including demo environments, sandboxes, lab exercises, and POC playbooks, so teams can practice realistic customer scenarios.
- Create and deliver technical presentations, workshops, playbooks, and on-demand learning, from product internals to executive-level value stories.
- Partner with Product, Engineering, and Product Marketing to turn new features, releases, and roadmap updates into clear, timely enablement.
- Reinforce adoption of Cyberhaven’s value-selling methodology among technical teams through training, coaching support for SE managers, POC and opportunity reviews, and targeted follow-up. Help SEs run discovery that ties technical capabilities to customer outcomes.
- Set and maintain standards for how technical content is organized, owned, and kept accurate, so teams can quickly find and trust what they need.
- Build role-specific development paths for SEs, Solutions Architects, and Customer Success Engineers, and convert SME knowledge into scalable training, certifications, and resources.
- Support GTM and SE leadership in executing Sales Kickoff, technical summits, and hands-on workshops.
WHO YOU ARE
- You bring a growth mindset, learn quickly, seek feedback, and have a bias for action.
- You have a strong technical background, such as Sales Engineering, Solutions Architecture, Customer Success Engineering, or Technical Training, and can go deep on a complex product yourself.
- You’re comfortable with cybersecurity and data security concepts (DLP, DSPM, insider risk, data lineage, cloud and SaaS security, endpoint security, identity, and AI security), or you learn adjacent areas quickly.
- You understand the enterprise technical sales cycle, including discovery, demos, POCs/POVs, architecture and security reviews, and technical win/loss, and what SE leaders need around coaching and performance measurement.
- You have built enablement programs, content, or labs in a growth-stage B2B technology company, working with a fast-changing product and a growing GTM team.
- You have helped teams adopt a value-selling methodology in a complex enterprise sales organization.
- You can assess an individual SE’s technical and selling skills, spot gaps, and build development plans that help them reach the next level.
- You have the credibility to earn respect from highly technical audiences as a content creator, facilitator, and presenter who can translate complex architecture and market dynamics into clear value stories for practitioners, CISOs, and executives.
- You are AI-forward and have practical experience using AI to improve enablement, such as content creation, call analysis, and coaching.
- Experience building customer-facing training or technical certification programs for product users is a plus.
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Cluj, Romania; Croatia Remote; Italy Remote; Bucharest, Romania; Poland Remote; Portugal Remote; United Kingdom; Czech Republic
ABOUT THE ROLE
Cyberhaven is building Flow, a unified data security platform spanning Human Data Security, Agentic Data Security, and Data Security Posture Management. The people who use it are security analysts, insider-risk investigators, and data protection leaders — experts doing demanding work under time pressure, who live in our product all day. And increasingly they are not working alone: AI agents are becoming actors inside the enterprise and inside our product, which means the experience we design now has to serve both the human doing the judging and the agent doing the work.
We're looking for a Senior Product Manager focussing on endpoint capabilities in a fast growing startup with an innovative technology. You will work directly with the company’s top executives and the founders to drive the company vision, seeing it through the customer’s eyes, and rally engineers to enhance and expand the endpoint capabilities.
WHAT YOU'LL DO
- Develop and lead the product strategy and vision for Cyberhaven’s endpoint sensor capabilities.
- Collaborate with cross-functional teams to design, build, and launch endpoint capabilities that answer key data detection and response use cases.
- Closely interact with Cyberhaven’s current and prospective customers to deeply understand their spoken and unspoken needs, as well as the actual and perceived value of the Cyberhaven product to them.
- Keep track of industry trends in cybersecurity and adjacent markets to help Cyberhaven identify new market opportunities. Research the competition to deeply understand competitive products functionality, pricing, and positioning, as well as how these products are perceived by buyers and industry analysts.
- Lead endpoint product development initiatives, from conceptualization to deployment, ensuring the integration of cutting-edge AI technologies to address insider threats effectively.
- Prioritize product roadmap to follow the product vision while ensuring that product is easy to sell and empowers sales to achieve near- and long-term revenue objectives, as well as drives the highest level of customer satisfaction.
- Communicate product requirements and vision to the Engineering team. Write, edit and prioritize user stories; constantly communicate with engineers to clarify and refine user stories; track user stories as they’re being developed; set, track and enforce the Definition of Done.
- Write and maintain clear requirements documents, ensure everyone on the team always understands what and why something is being built by the company.
- Be an external spokesperson for the company, maintain social media presence and speak at conferences. Partner with Marketing on product announcements and launches.
WHO YOU ARE
- 5+ years of experience of managing successful enterprise security products to drive fast-growing businesses
- Experience with cross platform endpoint software and endpoint telemetry collection and other areas of endpoint security e.g. EDR, EPP, DLP is required.
- Experience with large scale endpoint software deployments and the ability to consider the implications to users and the business.
- A history of managing successful enterprise products in early-stage startups, skillfully balancing limited engineering resources with high pressure for features and quality from customers and sales teams
- Must be comfortable, effective, and clear at communicating with company executives, customers, and engineers, and collaborate with a variety of internal groups including customer success/services, engineering, marketing, and sales
- Ability to build rapport with customers, prospects, analysts, and competitors, as well as the ability to leverage your existing network to gather market and product intelligence
- Deeply understand technology, have a strong intuition to estimate the complexity of product features, and ability to speak a common language with the engineers
- Experience managing scalable enterprise software platforms, building a product that meets the needs of large enterprises (RBAC, Directory Integration, Enterprise software deployment, performance management etc.)
- Proven history of developing products that can meet the needs of a wide variety of large enterprise customers, yet can be built efficiently by engineering
- Experience working closely with UX designers, customers, and engineers to create modern user interfaces that simplify the lives our customers
- Experience with data-driven approach to product decisions
- Availability to frequently communicate with a distributed engineering team in Central European time zone and other teams in the US time zones
- Located in Europe
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Edmonton, Alberta, Canada
Bradken
is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a workforce of more than 3,000 employees, our ability to adapt and evolve keeps us firmly positioned as global leaders in the wear solutions market.
About the role
The Operations Administrative Assistant is responsible for reporting, tracking, coordinating, and maintaining key projects within the manufacturing group. The role supports manufacturing operations through KPI reporting and ERP data management. The Administrative Assistant provides administrative, reation, reporting, procurement support and general office administration. The role also supports reception management, mail distribution, and acts as backup for key roles as required.porting and coordination support to the Edmonton leadership team. Responsibilities include ERP administration, timecard processing, document control, meeting coordination.
In this role you will:
Report on production KPIs and departmental metrics.
Assist with ERP data management and reporting requirements.
ERP timecard entry.
Manage incoming and outgoing mail, enter production data and reports, prepare CAPEX documentation and presentations, and maintain office supplies.
Support recruitment activities as directed by the Site Manager.
Support key manufacturing priorities. Assist with ERP data management and reporting requirements.
Produce month-end reports for the Site Manager.
Provide administrative support for manufacturing as directed.
Collaborate with manufacturing teams to achieve departmental objectives.
Support supervisors and managers with reporting and administrative requirements.
Provide backup for the Operations Technician, prepare weekly schedules, and coordinate overtime call-outs.
Promote a culture of safety, quality, and continuous improvement.
Perform other duties as assigned.
Schedule:
Monday to Friday schedule with work hours 7:00am to 3:30pm.
You will have:
Qualifications:
Minimum Grade 12 diploma or equivalent.
Post-secondary education is preferred.
Office Administration Certificate and/or equivalent experience.
Experience:
Experience using Microsoft Office applications.
Experience supporting manufacturing or industrial operations.
Experience with reporting and administrative functions.
Administrative assistant experience is an asset.
Skills and Knowledge:
Advanced data entry skills (Microsoft Office, Excel and Word and Power Point).
Strong organizational and multitasking abilities.
Ability to prioritize work and meet deadlines.
Strong written and verbal communication skills.
Knowledge of ERP systems and manufacturing reporting.
Excellent customer service skills.
Why join Bradken?
We believe our people are our greatest asset. Keeping our team safe and healthy; physically and mentally has always been our top priority.
We encourage and support dynamic and flexible work options to promote a healthy balance and let you get the most out of your time.
Bradken is committed to providing a safe, inclusive and collaborative workplace where people are encouraged to challenge existing thinking and develop better solutions.
We live by our values of
Challenge
,
Customer
and
Communication
– they drive us to constantly
move forward
, to
adapt
and to
thrive
.
Bradken is one of the world’s leading solutions providers for mining equipment parts. We specialize in the innovative design and manufacture of cast and fabricated iron and steel products for the mining and resources sector, and we also expertly serve rail and transit, energy, structural and industrial casting and defence markets.
We offer:
Successful applicants will be eligible for the following on
DAY 1 of Employment
:
Full Health, Dental, and Vision benefits
Life and AD&D coverage
Short-Term and Long-Term Disability coverage
Paid Vacation
Successful applicants will be eligible for the following after 90 days of employment:
RRSP with a company match
Employee Training and Education Reimbursement opportunities
Other Benefits:
This position qualifies for eligibility to receive annual bonuses.
How we hire
:
Before commencing employment
, you will be required to complete a background check and pre-employment medical.
We respectfully request no recruitment agency approaches.
Bradken is an Equal Opportunity Employer and we are committed to providing a diverse, inclusive, engaging and flexible environment for our people because great things happen when individuals are given the opportunity to bring themselves into their work. All employment will be based on merit, competence, performance and business needs.
*While we thank all applicants for their interest, only candidates in consideration for the role will be contacted.
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
Our growth stack has a lot of moving parts. The app and the website send events through a customer data platform to the ad platforms, our mobile measurement partners and the data warehouse. Most launches touch several of those systems and a few different teams.
You'll own the growth roadmap and work day to day with the MarTech and growth engineers who build and maintain all of this. Your job is to keep launches moving, make sure they get properly tested, and make sure the numbers on the other side can be trusted.
WHAT YOU'LL DO
- Own the growth roadmap. Turn requests from marketing, paid media and product into scoped tickets with clear owners and dates. Keep the roadmap, runbooks and data flow docs current, and automate the repetitive parts with scripts or AI tools.
- Lead testing and QA with the MarTech and growth engineers. Write test plans, check changes in staging and on test devices before they ship, and confirm they worked after launch.
- Keep data flowing into paid media. Manage customer data platform destinations, audience syncs, reverse ETL and server-side events. Watch for dropped events, low match rates and schema drift, and write or tweak simple scripts when a setting isn't enough.
- Own our relationship with the mobile measurement partners. Debug attribution problems, keep SDK and ad network integrations healthy, and handle support escalations, renewals and roadmap requests.
- Keep tracking specs consistent across the app, the website, the customer data platform and web analytics, and dig in when numbers from different sources don't match.
- Run SDK upgrades, attribution migrations and new vendor onboarding from evaluation through cutover, with a rollback plan.
- Support paid and acquisition work across search, social, app-install networks, app store search ads and affiliates, including click ID plumbing, exclusion lists and test setup.
- Bring Privacy and Legal in early, so consent, data-sharing limits and data subject requests are part of the plan and not a surprise at launch.
YOU BRING
- 8+ years in technical program management, supporting growth, performance marketing, martech or data teams.
- Hands-on time with a customer data platform. You've connected it to several ad platforms, mapped and filtered events, and synced audiences with consent rules applied. You can read a tracking plan or a destination config and spot where a launch will break.
- Experience with a mobile measurement partner and a good grasp of attribution: click IDs, ATT and SKAdNetwork, view-through versus click-through, and platform-reported versus first-party conversions. You've debugged discrepancies and dealt with the vendor directly.
- Experience doing testing and QA with engineers on tracking or integration launches: test plans, staging checks, debug tools, test devices, and regression checks after SDK or release changes.
- You write SQL and pull your own numbers.
- A track record of running programs across engineering, design, data and marketing, with clear specs, honest status updates and a written record of decisions.
- Good judgment on priorities, and comfort saying no. You're fine with ambiguity and with working asynchronously on a remote-first team.
NICE TO HAVE
- Experience at a consumer fintech or another regulated company.
- Reverse ETL into paid media (conversion APIs, offline conversions, audience uploads) and keeping it healthy: match rates, deduplication, delays and dropped events.
- Reading and writing simple scripts in JavaScript or Liquid, for example to transform an event payload or build a template.
- Experience with a cloud data warehouse.
- A working understanding of marketing privacy rules: consent, CCPA and similar state laws, GLBA, and limits on sharing customer data with ad platforms. You know when to ask Legal.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: Hybrid - San Francisco, New York City
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:
As a Member of Technical Staff, Finance Data, you’ll lead the design of the Financial Data Platform that Finance, Accounting, and Revenue Operations rely on to close the books, report revenue, and forecast. You’ll build auditable pipelines on Kafka, ClickHouse, Tinybird, and Snowflake that turn raw usage into revenue, and set the bar for data accuracy and governance where correctness isn’t optional. Your main focus is a multi-phase roadmap that takes the platform to maturity and audit readiness as the business grows. This is a hybrid role with 3 in-office days per week in San Francisco or New York City.
What you'll do:
Design and build the data platform behind revenue recognition, consumption-based billing, and financial reporting, across batch and real-time workloads
Set standards for financial data ingestion, transformation, and storage, with auditability, lineage, and data integrity
Work with FP&A, Accounting, and RevOps to turn reporting requirements, close-cycle timelines, and forecasting needs into architecture
Partner with Security, Compliance, Legal, and Internal Audit to meet SOX and SOC 2 requirements, backed by monitoring, alerting, and incident response
Set the technical roadmap, make build-vs-buy calls on ERP, billing, and revenue tools, and mentor engineers as the team grows
What you need:
8+ years of experience in data engineering, analytics engineering, or a closely related field
Owned production data pipelines end-to-end on AWS, GCP, or Azure
Production experience with Kafka, ClickHouse, Tinybird, and Snowflake
Built data pipelines that feed financial reporting, revenue recognition, billing, or consumption-based pricing
Supported audit, SOX, or SOC 2 requirements for data systems
Translated Finance or Accounting requirements into technical architecture
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $264,000 - $396,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
География найма не уточнена
УдалённоRemote, United States
Не хотите искать каждый день?
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УдалённоRemote, United States; The candidate must reside in the Northeast part of the United States; The team is distributed and collaborates asynchronously across time zones using GitLab and our handbook-first practices to share knowledge, reusable examples, and best practices
УдалённоSan Francisco, CA; San Jose, CA; Seattle, WA
Bangalore, India
Tokyo, Japan
Seoul, South Korea
Sydney, Australia
United States
УдалённоГеография найма не уточнена
seniorCluj, Romania; Croatia Remote; Italy Remote; Bucharest, Romania; Poland Remote; Portugal Remote; United Kingdom; Czech Republic; Availability to frequently communicate with a distributed engineering team in Central European time zone and other teams in the US time zones
Edmonton, Alberta, Canada; While we thank all applicants for their interest, only candidates in consideration for the role will be contacted
United Kingdom - Remote
УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com