Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
Protect our users’ privacy and security through best practices
The ideal candidate has:
4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
Expertise in SQL, job experience, and demonstrated strength with Python
Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
Expertise with SQL tuning, Spark development, medallion and event-driven architectures.
Familiarity with healthcare or insurance
Familiarity with data security and HIPAA compliance
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $220,000.00 - $245,000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
Protect our users’ privacy and security through best practices
The ideal candidate has:
2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
Expertise in SQL and Python
Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
Familiarity with healthcare or insurance
Familiarity with data security and HIPPA compliance
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $
166,000 - $205,000
. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Ontario
Workplace: Remote
Must be CST or EST
The Engineering and Business Systems team works collaboratively across Chainalysis’ Business Automation, Data and Systems organization to ensure that core business systems and platforms enable business policies and operational processes. Our job is to empower employees to do their best work by building the foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth.
As the Director, Business Systems & Platform Engineering, you’ll be at the forefront of positioning our technical teams to thrive in an AI-driven shift to headless, API and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building out the technology architecture as well as the underlying administration and engineering practices. The ideal candidate brings strong software and data engineering leadership depth and can ramp quickly on the GTM and Finance systems domain. The role will lead a small organization that encompasses platform engineering, data engineering, integration engineering and systems administration.
In this role, you'll:
- Lead the systems and engineering org through a shift from a traditional IT and admin-centric org to one centered around platform and data engineering.
- Own the technical architecture, design, and delivery roadmap across business systems, enterprise data and integrations.
- Directly manage and grow systems and engineering-track managers and direct reports including technical mentorship and career pathing.
- Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies and other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes.
- Partner with colleagues in Product, Success and Program Management to prioritize and deliver the BADaS roadmap by translating business, process and product requirements into technical scope, staffing, and sequencing decisions.
- Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds.
- Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective.
- Partner with engineering leaders across Chainalysis on best practices and to leverage platforms, components, solutions and code-bases that already exist.
We're looking for candidates who have:
- 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers.
- Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk.
- Comfortable operating in an ambiguous, transformation-in-progress environment.
- Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc.
- Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time.
- Data-first orientation focused on data architecture and flow
- Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript / TypeScript / Node.js http://node.js within a primarily serverless AWS environment.
- Deep experience with REST / GraphQL API architectures, relevant authorization strategies including OAUTH and JWT.
- Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt / data modeling, pipeline orchestration, batch vs near-real time ETLs and reverse ETLs, medallion architectures.
- Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure.
Nice to have experience:
- Modern AI-centric engineering workflows and practices.
- Experience with Model Context Protocol (MCP) and building autonomous AI agents.
- Hands-on experience with graph theory and databases, especially as a context layer for Ai co-pilots, workflows and agents.
- Track record of managing vendors and implementation partners on a complex platform build, including technical design review and sign-off authority.
- Experience with enterprise SaaS platforms used in GTM and/or Finance (e.g. Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga and DealHub) at an architectural and API level.
Technologies we use:
- Python, Node.js
- AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
- Workato, Fivetran
- Databricks, Airbyte
- Terraform
- Git, Github
- Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive
- LiteLLM, Claude Code
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Remote - USA
Workplace: Remote
Must be CST or EST
The Engineering and Business Systems team works collaboratively across Chainalysis’ Business Automation, Data and Systems organization to ensure that core business systems and platforms enable business policies and operational processes. Our job is to empower employees to do their best work by building the foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth.
As the Director, Business Systems & Platform Engineering, you’ll be at the forefront of positioning our technical teams to thrive in an AI-driven shift to headless, API and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building out the technology architecture as well as the underlying administration and engineering practices. The ideal candidate brings strong software and data engineering leadership depth and can ramp quickly on the GTM and Finance systems domain. The role will lead a small organization that encompasses platform engineering, data engineering, integration engineering and systems administration.
In this role, you'll:
- Lead the systems and engineering org through a shift from a traditional IT and admin-centric org to one centered around platform and data engineering.
- Own the technical architecture, design, and delivery roadmap across business systems, enterprise data and integrations.
- Directly manage and grow systems and engineering-track managers and direct reports including technical mentorship and career pathing.
- Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies and other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes.
- Partner with colleagues in Product, Success and Program Management to prioritize and deliver the BADaS roadmap by translating business, process and product requirements into technical scope, staffing, and sequencing decisions.
- Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds.
- Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective.
- Partner with engineering leaders across Chainalysis on best practices and to leverage platforms, components, solutions and code-bases that already exist.
We're looking for candidates who have:
- 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers.
- Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk.
- Comfortable operating in an ambiguous, transformation-in-progress environment.
- Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc.
- Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time.
- Data-first orientation focused on data architecture and flow
- Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript / TypeScript / Node.js http://node.js within a primarily serverless AWS environment.
- Deep experience with REST / GraphQL API architectures, relevant authorization strategies including OAUTH and JWT.
- Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt / data modeling, pipeline orchestration, batch vs near-real time ETLs and reverse ETLs, medallion architectures.
- Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure.
Nice to have experience:
- Modern AI-centric engineering workflows and practices.
- Experience with Model Context Protocol (MCP) and building autonomous AI agents.
- Hands-on experience with graph theory and databases, especially as a context layer for Ai co-pilots, workflows and agents.
- Track record of managing vendors and implementation partners on a complex platform build, including technical design review and sign-off authority.
- Experience with enterprise SaaS platforms used in GTM and/or Finance (e.g. Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga and DealHub) at an architectural and API level.
Technologies we use:
- Python, Node.js
- AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
- Workato, Fivetran
- Databricks, Airbyte
- Terraform
- Git, Github
- Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive
- LiteLLM, Claude Code
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Goma, DRC
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
About GiveDirectly in the DRC
GiveDirectly DRC was established in 2018 to enable cash transfers to poor and rural populations via mobile phones, thereby promoting food security, poverty reduction, and financial inclusion. We aimed to demonstrate the operational feasibility and cost-effectiveness of transferring large volumes of money digitally in one of the world's least developed countries. Since its inception four years ago, GiveDirectly DRC has used mobile phones to transfer over $14 million to more than 65,000 beneficiaries in four provinces: South Kivu, North Kivu, Ituri, and Kinshasa.
GiveDirectly's activities in the DRC have expanded to include, among other things: compelling proofs of concept for mobile-based cash transfers; and the implementation of innovative technologies to target disadvantaged urban populations in Kinshasa, in collaboration with the DRC's social protection agency, the DRC Social Fund. The delivery of contactless cash to beneficiaries in Beni and Bunia affected by the economic consequences of COVID-19. You will be joining Give Directly DRC at an exciting time in its history, as we are establishing and hope to launch several new programs and strengthen our partnership with the DRC government.
About the Role
As Senior Manager, Operations (DRC), you'll build and lead the operational backbone behind GiveDirectly's programs in the country. You'll direct the support services team end-to-end — HR, logistics, procurement, and administration — while managing a team of managers. You'll design a procurement strategy that keeps goods and services flowing efficiently and reliably across provinces, own fleet and logistics management as the program scales, and manage the operational budget with an eye for efficiency. You'll also support the Country Director on HR strategy — recruitment, training, and performance — and design the systems needed for a much larger footprint across provinces, from procurement to digital tools that improve scalability.
This is a role for someone who can build systems as readily as they can lead people, and who's energized by both strategic design and the operational details that make it real on the ground.
What You’ll Do:
Lead the DRC support services team end-to-end — HR, logistics, procurement, administration, and office management — including direct oversight of managers
Develop and drive a procurement strategy ensuring efficient, compliant, and resilient sourcing across provinces, and own fleet and logistics management as the program scales
Manage the operational budget, forecasting and driving efficiency across procurement, logistics, and administrative spend
Support the Country Director on HR strategy — recruitment, training, performance management, and talent density — through oversight of the HR function
Design systems and processes to support a much larger footprint across provinces, anticipating future needs and identifying AI and digital opportunities to improve scalability
Coach and develop support services managers to build operational excellence beyond individual contribution
Maintain a compliance and operational risk register, and lead internal spot checks, audit preparedness, and action plans in partnership with Finance and Internal Audit
Own donor reporting, budget tracking, and donor visit coordination, and serve as the primary point of contact between the Country Office and GSS on operational and compliance matters
Own the Operational Knowledge Base and lead onboarding, training, and localization of materials as the team grows
Requirements:
Bachelor’s degree in a relevant field (management, administration, finance, or related); a master's degree is an asset
Minimum 6 years of experience in operations management, with a track record of transforming informal systems into structured, compliant, and scalable ones, including direct oversight of managers
Strong financial and budget management skills, with experience managing an operational budget
Proven experience maintaining a risk register and working closely with internal/external audit functions
Experience developing and coaching managers, with comfort delegating execution while retaining accountability for results
Strong digital fluency, with experience using and training teams on multiple platforms (Google Suite, Salesforce, Asana, Guru, Slack)
Familiarity with international NGO standards and donor compliance frameworks
Experience navigating the DRC's complex legal environment, including labor law and immigration requirements
Strong alignment with
GiveDirectly's values
Excellent written and oral communication skills, including ability to communicate fluently in English and French with high level stakeholders
Professional proficiency in French and English required; knowledge of Congolese Swahili and/or Lingala is an asset
Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy
here
.
Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.
Base Salary:
$94,500
Bonus at Target Performance:
10% (~$9,450, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $11,057 in 2025)
Estimated Total Compensation at Target: $103,950+
This role is onsite in Goma, DRC. We welcome candidates based in the DRC as well as those willing to relocate to be based in the DRC.
#LI-REMOTE
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Referrals
Know the right person for this role? Please consider
referring them
. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!
Location: New York; San Francisco
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a Customer Success Manager (CSM) at Mistral, you will be responsible for managing a portfolio of enterprise customers, ensuring they achieve their goals using Mistral’s solutions. You will serve as the primary point of contact for customers, driving adoption, satisfaction, and long-term success.
This role is ideal for those who excel in customer-facing environments, enjoy solving complex challenges, and are passionate about turning customer success into business impact.
WHAT YOU WILL DO
CUSTOMER SUCCESS OWNERSHIP
- Manage a portfolio of enterprise customers, ensuring they maximize the value of Mistral’s AI solutions.
- Build strong, trusted relationships with key stakeholders, understanding their business objectives and tailoring solutions to meet their needs.
- Lead customer onboarding, adoption, and ongoing engagement to drive product usage and satisfaction.
- Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn.
- Collaborate with Sales to identify upsell and cross-sell opportunities based on customer needs and usage patterns.
- Partner with Product and Engineering teams to gather customer feedback and influence the product roadmap.
- Develop and deliver customer training, enablement programs, and best practices to drive adoption.
- Conduct regular business reviews (QBRs) to align on goals, challenges, and success metrics.
STRATEGIC CUSTOMER GUIDANCE
- Serve as a trusted advisor to customers, guiding them on how to leverage Mistral’s AI solutions to achieve their business outcomes.
- Work closely with Support and Product teams to ensure seamless customer experiences, from deployment to production.
- Create and execute customer success plans with clear KPIs, timelines, and measurable outcomes.
- Advocate for customer needs internally, ensuring their voice is heard in product and strategic discussions.
CROSS-FUNCTIONAL COLLABORATION
- Share customer insights with Product, Sales, and Engineering teams to inform product improvements and strategic initiatives.
- Clear obstacles for customers during deployment and adoption phases, accelerating time-to-value.
- Support renewal processes, including contract negotiations, expansion discussions, and coordination with internal teams.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in customer-facing roles, such as Customer Success, Account Management, or Solutions Consulting, ideally in a technical or SaaS environment.
- Proven ability to manage enterprise customer relationships, with a focus on driving adoption, satisfaction, and retention.
- Experience working with technical products, with the ability to engage confidently with Data, IT, and Engineering teams.
- Strong communication and presentation skills, including the ability to tailor messaging for technical and executive audiences.
- Business acumen: Ability to identify upsell and expansion opportunities while ensuring customer success.
- Technical aptitude: Familiarity with AI/ML concepts is a plus; ability to understand and discuss technical requirements is essential.
- Hands-on, customer-centric, collaborative, and organized, with a passion for solving complex challenges.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment.
As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100.
This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs.
Responsibilities
Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it.
Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room.
Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team.
Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders.
Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes.
Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production.
Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story.
Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale.
Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning.
Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes.
Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions.
Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments.
Travel to customer sites (25–50% expected).
You May Be a Good Fit If You
Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes.
Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites.
Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering.
Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs.
Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement.
Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage.
Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team.
Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote; Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
At GitLab, we’re looking for a Talent Brand Manager to shape how current and prospective team members understand what it means to work here. You’ll bring GitLab’s employer value proposition to life through storytelling, recruitment marketing, candidate education, and experiences that connect our external reputation to our internal culture. You’ll partner across GitLab to turn talent brand strategy into campaigns and content throughout the candidate journey.
This role is a strong fit for a brand, recruitment marketing, employer brand, or content professional who can move between strategy and execution. You’ll use editorial judgment, data, and cross-functional collaboration to create clear, inclusive, and authentic candidate experiences.
What You’ll Do
Translate GitLab’s employer value proposition and company direction into clear, differentiated, and authentic candidate-facing messaging.
Deliver integrated talent brand campaigns across careers content, social media, employer review platforms, talent communities, events, and recruiter channels.
Develop and curate stories featuring team members, leaders, teams, culture, values, career growth, and the impact of working at GitLab.
Partner with Talent Acquisition to create targeted content and campaigns that support hiring priorities, pipeline generation, and conversion.
Improve candidate journey touchpoints with transparent, consistent, and relevant information throughout the hiring process.
Use content, channel, candidate feedback, and funnel metrics to improve performance and communicate impact.
Collaborate across GitLab to ensure content is accurate, inclusive, culturally relevant, and aligned with our voice.
Manage projects and external partners while improving talent brand processes, systems, reporting, and operations through iteration and thoughtful use of technology and artificial intelligence tools.
What You’ll Bring
Experience in talent brand, employer brand, recruitment marketing, content strategy, communications, or a related field.
Experience translating a brand or employer value proposition into content, campaigns, or audience experiences.
Strong storytelling, writing, editing, and editorial judgment across multiple channels.
Experience planning and delivering campaigns or programs with multiple stakeholders, dependencies, and deadlines.
Comfort using performance data, audience insights, feedback, and market research to improve outcomes.
Experience influencing across functions and working with senior stakeholders, subject matter experts, creative partners, or vendors.
Ability to manage ambiguity, prioritize competing work, and move from strategy to detailed execution in an asynchronous environment.
A commitment to inclusive, transparent storytelling, alignment with GitLab’s values and remote working practices, and applicable work authorization.
About the team
The GitLab Talent Brand team helps candidates understand what it means to work here through marketing, storytelling, partnerships, candidate education, and recruiter enablement. We evolve GitLab’s employer narrative, strengthen regional presence, improve talent content and platforms, support targeted attraction, and use data to understand our impact on candidate engagement and hiring outcomes.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$95,200
—
$160,800 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote; Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Talent Brand Manager, you'll shape how current and prospective team members understand what it means to work at GitLab. You'll bring our employer value proposition to life through talent brand strategy, recruitment marketing, and integrated campaigns across the candidate journey. You'll combine editorial judgment, performance data, cross-functional influence, and artificial intelligence tools to create clear, inclusive, and authentic candidate experiences.
What You’ll Do
Lead GitLab's talent brand strategy, translating our employer value proposition and company direction into clear, differentiated candidate messaging.
Design integrated campaigns and build scalable content systems, recruiter resources, reporting, event support, and campaign operations across careers content, social media, employer review platforms, talent communities, events, and recruiter channels, using technology and artificial intelligence tools.
Set editorial direction and align cross-functional partners and contributors on authentic stories featuring team members, leaders, teams, culture, values, career growth, and the impact of working at GitLab, ensuring accurate, inclusive, culturally relevant, and consistent talent brand work.
Advise Talent Acquisition and business leaders on audience strategy and campaigns that support hiring priorities, candidate pipelines, and conversion.
Improve candidate journey touchpoints so candidates receive transparent, consistent, and relevant information throughout the hiring process.
Use performance data, audience insights, candidate feedback, and talent market and channel trends to set priorities, evaluate results, recommend new approaches, and communicate impact.
What You’ll Bring
Significant experience in talent brand, employer brand, or recruitment marketing.
Experience developing and leading brand or recruitment marketing strategies across multiple audiences, regions, or hiring priorities.
Strong storytelling, writing, editing, and editorial judgment across multiple channels.
Experience leading complex campaigns with multiple stakeholders, deadlines, budgets, or external partners.
Strong analytical judgment and experience using data, audience insights, feedback, and research to improve outcomes.
Ability to influence senior stakeholders, create structure from ambiguity, and move between strategy and execution in an asynchronous environment.
About the team
The Talent Brand team sits within GitLab's People Group and partners with Talent Acquisition, Marketing, Corporate Communications, Social Media, Diversity, Inclusion & Belonging, and leaders across GitLab. In this role, you'll help set the team's direction, strengthen GitLab's employer narrative and regional presence, support hiring priorities, improve candidate experiences, and use data to extend the impact of a small, focused team.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,200
—
$194,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Warsaw, Poland
Dentons Business Services EMEA
is seeking a proactive and results-oriented Junior HR Specialist to join our UKIME HR Operations team. In this role, you will be part of the wider HR Services team but will provide dedicated operational support to the UKI HR Business Partnering and HR Services teams. This is an excellent opportunity for an individual with at least one year’s experience in a law firm, human resources or professional services environment who is eager to advance their career in HR Operations.
You will be primarily responsible for providing a first level operational support service to the UK HR Business Partnering and HR Services teams.
- As this role supports UK region please note that it requires operating within UK time-zone therefore
working hours are from 10 am – 6 pm
- This role operates in
Hybrid
working model requiring DBSE Warsaw office presence 1-2 times a week
About the role
Acting as a first point of contact for a first level, standard HR administration staff queries.
Creating and maintaining accurate employee records in the HR management system for staff in the UK.
Monitoring incoming requests to ensure that all assigned queries are responded to promptly, redirecting or escalating queries as required.
Administering pre-employment screening.
Supporting new joiner inductions, including preparing and providing new joiners with the relevant instructions and information.
Supporting HR Specialists with the administration of onboarding, probation and other employee lifecycle processes, in line with the agreed procedures.
Arranging exit interviews and other meetings.
Producing standard HR letters and documentation, including mortgage, tenancy and employment references, in a timely and accurate manner.
Updating holiday and other absence queries in absence management system.
Maintaining accurate and up-to-date information in the HRIS and other filing and document management systems.
Preparing HR reports and providing HR data as required.
Opportunity to be involved in transitions and transformations projects.
Requirements
Previous experience working in a HR department (desired/ not mandatory)
Excellent written and verbal communication skills (fluent English)
PC literate with a good working knowledge of MS Office, e.g. Word, Excel, PowerPoint, and Outlook.
Accurate, self-standing and with strong attention to details
Demonstrates initiative and the ability to be proactive, anticipating needs.
People focus and very good communication and interpersonal skills, customer and teamwork oriented
Benefits
Private medical healthcare provided by Medicover
MultiSport card
Benefit Cafeteria system
Option to join a private insurance plan
An additional day off for your birthday
Tailored learning & development opportunities
Hybrid work model with a modern office in Warsaw city center
Location: Remote
Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments.
Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years.
We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others.
We're a team of 170+ across 26 states and 7 countries, headquartered in New York City.
We are hiring a
Senior Software Engineer
for the Product Platform team, which owns the foundational layer of our API that all other Lithic products build on top. The team’s mission is to make Lithic's API the best in fintech — reliable, consistent, and a joy to integrate with. This includes API Gateway, Events Platform, API key management and authorization, audit logging, or API norms and versioning strategy.
What you'll do:
Write reliable, secure, and scalable code for Lithic's product platform with minimal tech debt
Improve the reliability of systems in team’s scope and participate in the team on-call rotation
Own projects from planning to launch, spanning areas like API key management, reliability, audit logging, or search, keeping stakeholders informed and aligned along the way
Lead efforts to improve systems and processes within the team
What you'll bring:
4+ years building production backend systems, ideally including public-facing APIs at scale
Experience in or desire to learn Rust; ability to understand Lithic’s system written in other programming languages (Python, Java)
Interest and experience in leveraging AI tools to enhance productivity
Ability to navigate ambiguity, align diverse perspectives, and drive toward practical solutions
Experience with API design fundamentals and product thinking: versioning, backward compatibility, schema-driven development, and weighing tradeoffs from the customer's perspective
Comfort with designing systems from scratch and owning the product development process end-to-end
Strong written communication skills and experience working in a remote, async-first team that’s spread across time zones
The annual US salary range for this role is $160,000 to $200,000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications.
This is a remote position. However, candidates must be located in the United States, Canada (Ontario or British Columbia), Netherlands, Poland, or Czech Republic. We do not offer visa sponsorship or assistance.
Crack the code
A hidden code is tucked into this application. Find it and enter it below to continue.
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
Benefits for Full-Time US Employees:
Unlimited PTO
12-weeks fully paid parental leave
4-Week Fully Paid Sabbatical (earned at your 5-year anniversary)
Work From Anywhere: work from anywhere in the world 4-weeks each year
3% cashback on card purchases with your complimentary
Privacy.com
employee account
Health, vision, and dental insurance; HSA Contribution Match
401(k) match
Voluntary Life Insurance and STD/LTD
NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs.
In-office employees receive:
Commuter benefit
Catered lunch every Tuesday and Thursday
Location: Remote
Workplace: remote
At Offchain Labs, we aren’t just building products: we’re leading a movement.
As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.
At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.
Why Offchain Labs?
Offchain Labs is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.
Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain Labs technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.
Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.
To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly.
What is the role:
As the Corporate Development Sr. Associate at Offchain Labs, you will play a pivotal role in shaping the future of blockchain technology by identifying, acquiring, and building blockchain solutions at scale. This role requires a strategic thinker with a hands-on approach to identifying opportunities, evaluating them, and executing transactions that align with Offchain Labs' vision for decentralized infrastructure.
What you'll do:
Support M&A and strategic investment activity end to end - screen and evaluate targets, lead market and operating diligence across engineering, product, legal, and finance, build valuation models, write investment memos, and support leadership on deal structuring and negotiation.
Own post-merger integration planning and execution - define the integration thesis prior to signing, build the integration plan, and drive the workstreams required to realize deal objectives.
Support in fundraising preparedness - maintain diligence-ready materials, data rooms, financial models, and KPI reporting, and manage process timelines and open items during live processes.
Develop strategic business cases for new opportunities, including market and competitive analysis, target segments and use cases, deal or partnership economics, and execution roadmap.
Be a strategic thinker to the leadership team - bring an informed external view on competitors, market structure, and emerging models into strategic planning, and translate it into clear recommendations.
Drive internal strategy communications - synthesize company priorities into clear strategy memos, and support planning and execution tracking against the agreed strategy.
Establish scalable processes and develop strategies that enhance Offchain Labs' corporate development capabilities, keeping pace with the rapidly evolving blockchain industry.
Build relationships with blockchain founders, and industry leaders while maintaining a robust organic pipeline of opportunities.
What you’ll need:
4–6 years of experience in investment banking, private equity, venture capital, management consulting, or a corporate development or strategic finance function.
Direct involvement in at least one M&A or fundraise process from start to close, with real ownership of workstreams rather than adjacent exposure.
Genuine fluency in crypto, with crypto-native work experience strongly preferred.
Strong financial modeling and market sizing skills, including in segments where public data is limited or inconsistent.
Exceptional written and visual communication. You can build an executive-ready deck without hand-holding and write clearly for both technical and non-technical audiences.
Comfort with ambiguity and a high degree of ownership - small team, wide surface area, and constant movement between long-range strategy work and next-day turnarounds.
Bachelor's degree.
Perks:
Remote-first global workforce + NY office
Professional reimbursement program (facilitates industry conference attendance, certifications, and more)
Medical, dental & vision coverage (US + some other countries)
401k retirement plan + company match (US only)
Wellness stipend
Home office set up / ergonomic equipment program
Attention Offchain Job Seekers:
This role cannot be performed in California, or Colorado.
Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com
At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.
Location: New York City, NY; San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
As a Scale Growth Account Executive at Anthropic, you'll own a portfolio of roughly 6-8 of our most strategic and fastest-scaling AI-native startup customers, driving expansion and retention by helping them harness the transformative potential of safe, frontier AI. These are companies that build on Anthropic's models and are now scaling quickly — your job is to grow with them. You'll leverage your consultative sales expertise to expand revenue across complex, multi-stakeholder accounts while becoming a trusted strategic advisor to founders and executive teams, helping them expand their AI capabilities and unlock new use cases. Working closely with GTM, Applied AI, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions.
The ideal candidate will combine strong commercial acumen with executive relationship management skills, focusing on growing large accounts through strategic expansion while maintaining high retention rates in a competitive market. By driving expanded deployment of Anthropic's products at the companies defining what AI-native looks like, you will help them scale their AI capabilities while advancing its safe and ethical development.
Responsibilities:
Drive revenue growth through strategic account expansion and renewals across a focused portfolio (~6-8) of Anthropic's largest AI-native startup customers. Own the full sales cycle for upsell and renewal opportunities while maintaining strong retention rates
Build and maintain trusted relationships with founders, board members, and executive stakeholders, as well as the technical leaders (CTO, VP Engineering, Head of AI) who own model decisions
Lead strategic account planning including executive business reviews, health checks, usage and forecast reviews, and renewal negotiations
Partner with customers to identify new use cases, workloads, and products that expand their AI capabilities with Anthropic
Navigate complex commercial conversations — multi-stakeholder deals, evolving usage patterns, and competitive evaluations — in partnership with Applied AI and product teams
Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap
Develop and execute account strategies that align Anthropic's solutions with customer business objectives
Proactively identify and mitigate retention and competitive risks while maintaining high customer satisfaction
Must Have Qualifications:
11+ years of experience in sales or account management roles, with a proven track record of growing large, complex accounts and exceeding retention and expansion targets
Success as a strategic business advisor to founders and executives, deeply understanding fast-scaling startup needs and creating solutions that align with their vision
Experience managing complex, multi-stakeholder sales cycles, working with technical stakeholders, and negotiating strategic deals
Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to founders and C-level executives
Analytical approach to understanding customer needs and usage combined with creative solutions to drive expansion
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
Experience running executive business reviews and managing executive relationships
Track record of consistently meeting or exceeding quota in fast-paced environments
Preferred Qualifications:
Experience selling or expanding usage- or consumption-based API, infrastructure, or developer-platform products
Experience selling to technical founders, CTOs, and engineering leaders at AI-native or developer-first companies
Fluency in the LLM/AI market — model providers, capabilities, pricing models, and how AI-native companies evaluate and switch between them
Experience structuring larger commercial agreements (usage commitments, multi-year terms, enterprise contract terms) with fast-growing customers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Ottawa; Toronto; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why This Role?
We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on Canadian public sector and defence accounts. This is a highly specialized role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organizations.
You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Canadian federal departments, provincial agencies, Crown corporations, and defence organizations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions.
In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements.
Location: Ottawa required
Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered.
What You'll Do
Customer Program Leadership:
- Own end-to-end technical program delivery for Canadian public sector and defence customers, from initial deployment through production scaling
- Serve as the primary technical program point of contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teams
- Translate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans
- Navigate government procurement processes, RFP responses, and contractual technical obligations.
Strategic Communication:
- Provide clear, timely, and objective communication across Cohere's engineering organization, customer stakeholders, and government leadership
- Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds
- Present technical roadmaps and status updates to senior government officials and departmental executives
- Represent Cohere's technical capabilities in sensitive government and defence contexts.
Complex Program Management:
- Create and manage project schedules that account for government timelines, security review processes, and ministerial approval cycles
- Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams
- Navigate risks unique to government deployments: privacy compliance, Algorithmic Impact Assessments, Treasury Board submissions, security authorizations
- Drive alignment between product development priorities and specific government requirements.
Technical Delivery & Execution:
- Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standards
- Coordinate technical work across multiple teams: model customization, security hardening, integration with government systems, bilingual support
- Establish governance checkpoints appropriate for high-stakes government deployments
- Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments.
You May Be a Good Fit If:
Required Experience:
- 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery.
- Excellent executive communication and stakeholder management.
- Experience working with government, defence, or heavily regulated customers (public sector, defence contractors).
- Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements.
- Bachelor’s degree in a relevant field; advanced degree or technical certs a plus.
Technical Background:
- Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)
- Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator
- Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders.
Government & Defence Acumen:
- Deep understanding of how government organizations procure, evaluate, and deploy technology
- Familiarity with Canadian government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications
- Understanding of defence and national security considerations in AI deployment
- Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset
- Eligible to obtain Canadian government security clearance (Top Secret preferred)
Nice to Have:
- Active Canadian government security clearance (Secret or Top Secret) - strong preference for active Top Secret clearance
- Bilingual (English/French) proficiency
- Background in or strong familiarity with Canadian defence, intelligence, or critical infrastructure sectors
- Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments
- Project management certification (PMP, PgMP) or government-specific methodologies.
Security Clearance Requirements
This role requires eligibility for Canadian government security clearance.
Strong preference will be given to candidates who currently hold an active Top Secret (TS) clearance, as this will enable immediate engagement with our most sensitive defence and national security customers.
However, we will also consider exceptional candidates who:
- Currently hold Secret clearance and are eligible for TS upgrade
- Do not currently hold clearance, but are eligible and willing to undergo the Top Secret clearance process
- Have a previous government security clearance that has lapsed
Please note that obtaining Top Secret clearance can take 12-18 months. Candidates without active clearance will work on non-classified public sector accounts while the clearance process is underway.
What Makes This Role Unique
This isn't typical program management—it's a highly specialized role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organizations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability.
If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you.
For candidates in Canada, the Compensation Range is: $160,000 – $245,000 [CAD]
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
- Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
- Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: San Francisco; Palo Alto
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
What You Will Do:
-Develop high-quality documentation, tutorials, and sample code that enable developers to effectively understand and utilize Mistral AI's products and integrations.
-Contribute to the community by resolving issues, providing answers, and offering guidance to users, fostering a supportive and collaborative environment.
-Lead developer relations initiatives and develop programs to engage the community.
-Organize and participate in community events centered around Mistral AI solutions.
-Work closely with the AI community to develop and maintain integrations, ensuring seamless compatibility and optimal performance.
-Remain informed about industry trends, best practices, and emerging technologies in AI, continuously updating your knowledge and skills.
What We're Looking For:
-Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
-Passion for AI, with a constant drive to stay updated and ahead of the curve.
-Fluency in Python Familiarity with the AI ecosystem and popular technology stacks including AI orchestration tools, vector databases, and agent frameworks
-Familiar with the Pytorch and transformers architectures
-Proven experience working with AI or machine learning projects, demonstrating a solid understanding of the AI landscape.
-Strong communication skills with an ability to explain complex technical concepts in simple terms
-Demonstrated ability to manage projects and lead them to successful completion.
-Ability to work collaboratively in a team environment.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An Overview of this role
We are looking for a Senior Release Engineer to help design, standardize, and operate reliable enterprise application delivery across the Enterprise Technology & AI team. This role will establish scalable CI/CD practices for business-critical platforms such as Salesforce, Zuora and other Business Systems while enabling engineering teams to ship changes safely, quickly, and with clear operational controls.
The ideal candidate combines strong release engineering and automation skills with practical experience supporting enterprise SaaS applications. You will build and maintain GitLab CI/CD or comparable CI/CD pipelines, develop reusable scripts and deployment tooling, improve release governance, and partner with application, security, compliance, and business teams across the release lifecycle. Daily use of approved AI-assisted engineering tools, including Claude, Duo Agent Platform or comparable enterprise-approved tools, is a mandatory expectation for DevOps, troubleshooting, documentation, testing, and automation activities.
What you'll do
Design, build, and maintain GitLab CI/CD or comparable CI/CD pipelines for enterprise applications, including validation, testing, packaging, deployment, promotion, rollback, and post-release verification.
Develop reusable automation using scripting languages such as Python to reduce manual release activities and improve repeatability.
Use approved AI-assisted engineering tools such as Claude or similar tools every day to accelerate pipeline development, scripting, test creation, troubleshooting, documentation, release analysis, and operational automation.
Define and implement CI/CD patterns for platforms such as
Salesforce, Zuora,
and other
Business Systems.
Establish environment and promotion strategies across development, test, staging, and production, including configuration management and deployment sequencing.
Implement quality gates, automated checks, approvals, audit trails, and policy controls appropriate for enterprise application releases.
Partner with application owners and development teams to define branching, versioning, release cadence, and rollback standards.
Improve release observability through deployment dashboards, pipeline metrics, change records, notifications, and operational reporting.
Investigate failed deployments and release issues, lead root-cause analysis, and implement durable corrective actions.
Contribute to release calendars, change planning, blackout-period coordination, and risk-based release decision-making.
Build documentation, runbooks, reusable templates, and enablement materials so teams can adopt consistent delivery practices.
Coach engineers and application teams on GitLab CI/CD or comparable CI/CD tools, release automation, trunk/branching strategies, testing, and operational readiness.
Collaborate with security, compliance, architecture, and enterprise application stakeholders to meet control requirements without creating unnecessary delivery friction.
What you'll bring
Bachelor’s degree in Computer Science,Information Systems, or equivalent practical experience.
7+ years of experience in release engineering, DevOps or a related discipline.
Experience in Release & deployments for enterprise SaaS applications such as
Salesforce, Zuora or Business Systems.
Strong hands-on experience designing and operating GitLab CI/CD or comparable CI/CD pipelines in production environments.
Proficiency in at least one scripting language, such as Python, with the ability to write maintainable automation and integrations.
Mandatory hands-on experience using AI-assisted development and automation tools such as Claude or comparable enterprise-approved tools as part of day-to-day DevOps and release engineering work.
Experience with source control, branching and merging strategies, artifact management, automated testing, deployment orchestration, and rollback practices.
Working knowledge of REST APIs, webhooks, JSON, authentication patterns, and integration troubleshooting.
Experience managing releases across multiple environments with strong attention to configuration, dependencies, access controls, and auditability.
Demonstrated ability to troubleshoot pipeline failures, deployment issues, integration defects, and environment inconsistencies.
Strong communication and collaboration skills, with the ability to work effectively across engineering, business, security, compliance, and operations teams.
Enterprise application releases become more predictable, repeatable, and transparent.
Manual deployment effort and avoidable release errors decrease through automation and standardization.
About the team
ETA teams adopt reusable GitLab CI/CD or comparable CI/CD patterns for Salesforce, Zuora, and other enterprise platforms.Release quality improves through automated validation, testing, policy checks, and post-deployment verification. Deployment, change, and compliance evidence is available through reliable pipeline records and operational reporting. Application teams can move faster while maintaining appropriate controls for business-critical systems. AI-assisted DevOps adoption measurably improves engineering throughput, troubleshooting speed, automation coverage, and documentation quality without reducing delivery controls.
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: Palo Alto
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
This role focuses on building and operating the ML platform that powers large-scale training, evaluation, and batch inference at Mistral AI. You will develop the infrastructure that enables researchers and engineers to run distributed GPU workloads reliably across clusters, hardware types, and regions.
You will work across the full ML lifecycle, from workload scheduling and capacity management to platform APIs, observability, and production operations. You will take ownership of critical systems and help turn complex infrastructure into reliable, self-service capabilities.
WHAT YOU WILL DO
- Build the ML Platform: Develop services, APIs, controllers, and tooling for training, evaluation, fine-tuning, and batch inference.
- Orchestrate GPU Workloads: Build systems for queueing, admission control, quotas, priorities, preemption, and topology-aware placement.
- Manage Compute Capacity: Improve how heterogeneous GPU resources are provisioned, allocated, and utilized across clusters.
- Enable Multi-Cluster Execution: Place workloads based on capacity, data locality, hardware requirements, and organizational priorities.
- Improve Researcher Experience: Create self-service workflows that make distributed workloads easy to launch, observe, debug, and reproduce.
- Optimize Performance: Improve GPU utilization, scheduling latency, workload startup time, throughput, and infrastructure efficiency.
- Build for Reliability: Develop observability, failure recovery, capacity planning, and operational tooling for critical ML workloads.
- Operate What You Build: Participate in on-call rotations and troubleshoot issues across applications, schedulers, networking, storage, and GPU infrastructure.
WHAT WE'RE LOOKING FOR
- Have 4+ years of experience in ML infrastructure, distributed systems, Kubernetes platform engineering, or a related field.
- Are proficient in Python or Go and comfortable working with production-grade distributed systems.
- Have strong Kubernetes knowledge, including controllers, operators, CRDs, scheduling, networking, storage, and resource management.
- Understand technologies such as Kueue, Karpenter, Volcano, and Kyverno, and the problems they address in workload scheduling, provisioning, and policy enforcement.
- Understand distributed ML workloads, including training, fine-tuning, evaluation, checkpointing, and batch inference.
- Are familiar with GPU infrastructure and technologies such as PyTorch, CUDA, NCCL, and high-performance networking.
- Understand concepts such as quotas, priorities, preemption, gang scheduling, topology awareness, and workload admission.
- Can diagnose performance and reliability problems across software, orchestration, networking, storage, and hardware.
- Care about developer experience and enjoy turning complex infrastructure into simple, reliable interfaces.
- Thrive in an ambiguous, fast-moving environment shaped by frontier AI research.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Engineering Manager
Location: Remote US
Compensation Range: $200,000 - $220,000 base plus bonus and equity
About the Team
Huntress protects the small and mid-sized businesses that attackers assume can't afford a security team. The Detection Platform team builds the engines and pipelines that turn billions of raw telemetry events into the signals our 24/7 SOC acts on. Every detection Huntress ships, across endpoint, identity, SIEM, and third-party EDR, runs through systems this team owns. We measure ourselves on two things: time to detection and detection engine uptime.
About the Role
We're hiring a Staff Software Engineer to help build and rebuild these systems without disrupting the SOC that depends on them, and to make their behavior predictable under load. This is a hands-on technical leadership role: you'll lead major workstreams, set direction that other engineering teams build against, and write and review production code every week.
What You'll Own
Detection engine and pipeline modernization.
We're rewriting our detection engine to support the full Sigma v2 specification, including stateful correlation of patterns across many events over time. In parallel, we're reworking several existing detection pipelines and building new ones, moving off the bespoke per-product detectors we've accumulated and onto a common platform. You'll lead major workstreams across both and own the validation approach that proves a reworked pipeline still behaves like the one it replaces, so we can turn old paths off knowing we haven't lost anything.
Reliability and behavior under load.
A detection pipeline that quietly stops producing signals is worse than one that crashes loudly, and detection volume spikes for reasons we don't always control. You'll build the guarantees that make quiet failure impossible: end-to-end latency measurement, liveness coverage, and alerting that fires when expected work stops arriving. You'll also build the mechanisms that keep a spike bounded and recoverable.
Event schemas and data contracts.
Our schema and transformer layer are what several other engineering teams build their detections against. You'll help drive toward a coherent internal standard and build the validation and drift-detection tooling that catches upstream changes before they break detections.
What We're Looking For
Required
Deep experience designing, building, and operating production distributed systems at scale, primarily in Go, with the range to work across several layers of the stack.
You have replaced or substantially re-architected a live, high-throughput system without breaking its consumers, and you can walk us through how you proved the new path was equivalent, staged the cut-over, and decided it was safe to retire the old one.
Experience with high-volume event or data pipelines, and a good feel for how they behave under load: where things queue, where they fall behind, and what happens to correctness when they do.
Strong operability instincts. You design observability in rather than retrofitting it, and you've built alerting that catches the absence of expected work, not just errors.
Demonstrated technical leadership across team boundaries. You've set a direction that other teams had to build against and raised the engineering bar around you, without needing positional authority.
Judgment about production quality: when a system is good enough to ship, when it needs more evaluation, and when it shouldn't ship at all.
Hands-on experience with AI coding tools, and a point of view on using them well, where correctness is a security outcome.
Strongly Preferred
A background in security operations or security engineering: time spent writing or tuning detections, or working in a SOC. You know what makes a detection maintainable, how fast noise erodes a SOC's trust in its tooling, and why a missed detection is a different class of failure than a noisy one.
Experience with detection-as-code or other rule- and DSL-driven systems, including the parsing and evaluation work that supporting a specification properly entails.
Experience building platform tooling for non-engineer authors such as rule writers, analysts, and researchers, where the product surface is a language, an API, and a feedback loop.
Ruby on Rails experience. Some of our pipeline and application code is Rails, and you'll occasionally read and review Ruby. It's a nice-to-have, not a requirement; we'll help you ramp.
Our Stack
You'll work primarily in Go across our detection engines, pipelines, and the services around them, with Kafka, Temporal, Redis, ClickHouse, Elasticsearch, and Kubernetes across AWS and Azure. Some of our pipeline and application code is Ruby on Rails. Detection logic is written in Sigma.
We don't expect prior experience with all of it, and we're not screening on the list; Go is the one language we'll assess directly in interviews. You should be someone who likes being fluent across a broad stack rather than being specialized in one corner of it.
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
New York City, New York
УдалённоГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorWe welcome candidates based in the DRC as well as those willing to relocate to be based in the DRC
ГибридNew York; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
New York City, NY
УдалённоRemote; Remote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоseniorRemote; Remote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
juniorWarsaw, Poland; As this role supports UK region please note that it requires operating within UK time-zone therefore; working model requiring DBSE Warsaw office presence 1-2 times a week
УдалённоseniorКанада, Чехия, Нидерланды, Польша, США; Strong written communication skills and experience working in a remote, async-first team that’s spread across time zones; However, candidates must be located in the United States, Canada (Ontario or British Columbia), Netherlands, Poland, or Czech Republic
Удалённоsenior401k retirement plan + company match (US only); We encourage candidates from all walks of life to apply and join our team
New York City, NY; San Francisco, CA | New York City, NY
ГибридOttawa; Toronto; Montreal
ГибридSan Francisco; Palo Alto; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
seniorBangalore, India
ГибридСША; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
