Location: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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ABOUT THE ROLE
Docker's Forward Deployed Engineering (FDE) team embeds senior engineers inside our most strategic customers to solve their hardest deployment, integration, and adoption problems. FDEs then bring what they learn back to Docker Product and Engineering so that every customer benefits.
As the Principal Technical Program Manager for FDE, you define what good looks like for the organization and run the business that delivers it. You define the standards for how FDE plans, commits, delivers, and measures quality. You own the operating rhythm, track commitments Docker has made to customers, the commitments Docker Engineering has made to FDE, and the timelines and resourcing behind them.
This is a senior role that works with stakeholders across the business to drive outcomes for Dockers most important customers. FDE is where Docker proves it can deliver for the customers that matter most while the technology around us changes quickly. You will set the standard for how a small team of senior engineers earns and keeps the trust of customers, and you will make what they learn useful to the whole company. The practices you establish will become the model for how Docker engages with its largest, most complex customers.
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RESPONSIBILITIES
DEFINE WHAT GOOD LOOKS LIKE
- Define the FDE delivery standards, engagement model, and quality bar, and write them down so engagements are consistent across customers, regions, and engineers.
- Decide which metrics matter for FDE, set targets, and revise them as the team learns.
- Turn lessons from each engagement into reusable practice and product improvements.
RUN THE FDE BUSINESS
- Give executives a clear account of what is on track, what is at risk, what decision is needed, and from whom.
- Own FDE capacity management and staffing plans with FDE leadership and recruiting: which engineers are aligned to which customers, where the gaps are, where and when to hire to stay ahead of demand.
OWN CUSTOMER AND ENGINEERING COMMITMENTS
- Instrument every commitment Docker has made to FDE customers, and every commitment Docker Product and Engineering teams have made to FDE.
- Track commitments, map dependencies across teams, and surface risks early enough to act on them.
- Negotiate and confirm dates with teams that run on their own planning processes, and hold them to those dates.
INFLUENCE ACROSS DOCKER
- Represent FDE with Product and Engineering leadership. Make sure customer needs are well defined using data, and that product decisions map to achievable FDEs action.
- Improve the internal processes that slow collaboration between Field, Product, and Engineering, and bring those improvements to the wider company when they work.
- Present FDE results and risks to Docker executives and customer stakeholders.
LEAD THE PROGRAM PRACTICE
- Set priorities for junior TPMs, define the reporting FDE needs, and mentor them in program management practice.
- Choose the tools and standards FDE uses to track work.
- May need to take part in the paid on-call rotation; respond to incidents, debug production issues, and drive systemic improvements in reliability.
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QUALIFICATIONS
REQUIRED
- 10+ years of technical program management experience, including 4+ years at Staff level or above, supporting customer-facing engineering, professional services, or field engineering teams.
- A track record of delivering commitments on schedule for enterprise customers, including contractual or executive-visible deadlines.
- Experience defining standards, quality bars, and operating processes that other teams adopted.
- Experience running dependencies across many engineering teams that you do not manage, and getting reliable dates from them through influence.
- Strong technical background in cloud platforms, containers, and modern software delivery. You can read a design, challenge an estimate, and tell a real blocker from a vague one.
- Experience choosing metrics and setting targets, including working with incomplete data and deciding what is good enough to act on.
- Executive communication skills, with the ability to deliver difficult news early and clearly to customer stakeholders, Docker leaders, and engineers.
- High agency and comfort working autonomously in a distributed, remote-first company where processes are still being defined.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Occasional travel to customer sites and to Docker team gatherings.
BONUS QUALIFICATIONS
- Prior experience supporting a Forward Deployed Engineering, Professional Services, Solutions Engineering, or Customer Engineering organization.
- Familiarity with the agentic AI ecosystem, including coding agents, Model Context Protocol (MCP), and enterprise requirements for security and governance of AI workloads.
- Experience with regulated or compliance-driven customers in financial services, healthcare, government, or similar sectors.
- Experience at a developer tools, infrastructure software, or platform company.
- Familiarity with Docker products, Kubernetes, and cloud-native development platforms.
WHAT SUCCESS LOOKS LIKE
- FDE has written delivery standards, a quality bar, and KPI targets that FDEs, Field, Product, and Engineering all know and use.
- Every customer commitment and every Docker engineering commitment to FDE has an owner and a date, and strategic customer deadlines are met.
- FDE operating reviews run weekly, produce decisions, and close their actions.
- FDE capacity, hiring, and customer alignment are planned ahead of demand.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
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COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $162,505 - $254,650 base
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Toronto; Canada; Vancouver; Ottawa; 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!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
In this role, you will:
- Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
- Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
- Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
- Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
- Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
You may be a good fit if:
- You have experience with and enjoy working directly with customers
- You have experience deploying enterprise software in private/hybrid cloud environments
- You have proven experience administering production Kubernetes clusters and expertise with Helm
- Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
- You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
- You excel in fast-paced environments and can execute while priorities and objectives are a moving target
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: New Jersey; New York; Connecticut
Workplace: remote
About the role:
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name.
What we look for:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have
Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What you’ll do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What We Offer:
Full-time.
On-site visits to client’s facilities and our office in NYC 1/week
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Base salary $200-250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates.
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
As Fin becomes mission-critical for our most strategic customers, we’re growing our team of Forward Deployed Engineers to help bridge the gap between customer needs and product innovation.
As a Forward Deployed Engineer, you’ll work hands-on with strategic customers, partnering closely with our R&D and Go-to-Market teams to design and deliver high-impact solutions. You’ll go beyond implementation - helping shape product direction, influence roadmap decisions and ensure Fin delivers real, measurable business outcomes in complex, real-world environments.
If you’re excited by ownership, creativity and solving ambiguous problems, and want to work at the frontier of applied AI while collaborating with Product, Engineering and Go-to-Market teams, this role offers a rare opportunity to combine technical excellence with real customer impact.
What will I be doing?
Drive adoption of Fin by helping customers unlock the power of our AI capabilities to automate and scale their support operations.
Embed deeply with strategic customers to understand their business challenges and technical requirements, and provide the insight needed to achieve outstanding results with Fin.
Work hands-on with customers’ technical teams as a trusted technical expert, coding side-by-side to drive projects through to completion.
Collaborate closely with Sales, Success and Product teams to ensure seamless customer experiences, successful project delivery and actionable product feedback.
Contribute to the evolution of Forward Deployed Engineering by codifying best practices and sharing insights from customer engagements to help the team scale and grow.
What skills do I need?
A strong engineering background and experience building software with real-world usage. Experience building a SaaS product is a plus, but not a requirement.
Interest in AI and machine learning, and the ability to quickly build an understanding of novel problems, capabilities and architectures - including their trade-offs and limitations.
Strong cross-functional collaboration skills, with the ability to navigate organisational boundaries and bring people together to achieve the best outcomes for our customers.
Deep knowledge of at least one high-level programming language, such as JavaScript, Python or Ruby. It doesn’t need to be a language we use today - great people learn quickly and can introduce us to better ways of working.
The ability to prototype and ship software quickly while maintaining a high bar for quality and a clear focus on business goals and outcomes.
Proficiency using and writing REST APIs to integrate systems effectively.
Strong communication skills. You can comfortably discuss the same topics with engineers and non-technical audiences, adapting the depth and detail as needed.
Willingness to travel and work on-site with customers to build strong relationships and deeply understand their needs.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the Chicago area is $160,000 - $213,300. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
As Fin becomes mission-critical for our most strategic customers, we’re growing our team of Forward Deployed Engineers to help bridge the gap between customer needs and product innovation.
As a Forward Deployed Engineer, you’ll work hands-on with strategic customers, partnering closely with our R&D and Go-to-Market teams to design and deliver high-impact solutions. You’ll go beyond implementation - helping shape product direction, influence roadmap decisions and ensure Fin delivers real, measurable business outcomes in complex, real-world environments.
If you’re excited by ownership, creativity and solving ambiguous problems, and want to work at the frontier of applied AI while collaborating with Product, Engineering and Go-to-Market teams, this role offers a rare opportunity to combine technical excellence with real customer impact.
What will I be doing?
Drive adoption of Fin by helping customers unlock the power of our AI capabilities to automate and scale their support operations.
Embed deeply with strategic customers to understand their business challenges and technical requirements, and provide the insight needed to achieve outstanding results with Fin.
Work hands-on with customers’ technical teams as a trusted technical expert, coding side-by-side to drive projects through to completion.
Collaborate closely with Sales, Success and Product teams to ensure seamless customer experiences, successful project delivery and actionable product feedback.
Contribute to the evolution of Forward Deployed Engineering by codifying best practices and sharing insights from customer engagements to help the team scale and grow.
What skills do I need?
A strong engineering background and experience building software with real-world usage. Experience building a SaaS product is a plus, but not a requirement.
Interest in AI and machine learning, and the ability to quickly build an understanding of novel problems, capabilities and architectures - including their trade-offs and limitations.
Strong cross-functional collaboration skills, with the ability to navigate organisational boundaries and bring people together to achieve the best outcomes for our customers.
Deep knowledge of at least one high-level programming language, such as JavaScript, Python or Ruby. It doesn’t need to be a language we use today - great people learn quickly and can introduce us to better ways of working.
The ability to prototype and ship software quickly while maintaining a high bar for quality and a clear focus on business goals and outcomes.
Proficiency using and writing REST APIs to integrate systems effectively.
Strong communication skills. You can comfortably discuss the same topics with engineers and non-technical audiences, adapting the depth and detail as needed.
Willingness to travel and work on-site with customers to build strong relationships and deeply understand their needs.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $180,000 - $237,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: London, UK
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
Join Anthropic as an EMEA-based Customer Success Manager supporting our Beneficial Deployments team's work with nonprofits. You'll be a strategic partner and trusted advisor to mission-driven organizations across EMEA, spanning a range of impact areas. Your focus is driving activation, adoption, and value of Claude across Claude for Enterprise, Claude Code, and the API. That means helping these organizations evolve how they work internally, and guiding them as they evolve how they serve their missions and constituents with AI.
You'll work as a pod with your Account Executive and Applied AI counterpart. Within the pod, you'll decide what level of engagement each customer most needs and either personally deliver it or connect the customer to resources that serve their needs. CS-led engagements range from high-touch 1:1 partnerships to one-to-many cohort engagements, with the latitude to design other approaches where they serve customers better.
As one of our early Customer Success Managers in EMEA, you'll be a pioneer: helping to build regional processes, establish new customer relationships, and represent Anthropic's brand in a high-growth market. You'll operate with significant autonomy while staying closely aligned with global teams, which calls for someone who thrives in ambiguous environments and works effectively across time zones.
The insights you gather from these partnerships will directly inform our research priorities, product development, and strategies for beneficial AI deployment. As the voice of the customer, you'll help shape how we build and deliver AI systems that amplify social good.
Key responsibilities
Work as a pod with your Account Executive and Applied AI counterpart, building shared territory and success plans
Drive activation and adoption across your portfolio, using your judgment to match the engagement model to what each customer most needs
Use your knowledge of each customer and of regional nuances to plan usage proactively, understanding current and future consumption and adoption and how they create realized value for the customer
Build trusting relationships with nonprofit leaders, program teams, and IT staff to understand their mission, goals, and capacity
Guide customers in evolving how they work internally, with change management suited to mission-driven cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects capacity constraints
Help customers evolve how they serve their missions and constituents with AI, identifying high-impact use cases across program delivery, research, fundraising, and operations
Become an expert in Anthropic's products across the API, Claude for Enterprise, and Claude Code, guiding customers to the right solutions and keeping them current on what's new
Document and quantify value realized through social impact outcomes, program effectiveness, cost savings, and mission amplification, and share it in regular impact reviews that build the case for continued investment
Build the repeatable playbooks, enablement resources, and regional processes that scale across the EMEA portfolio, and bring customer insights back to Product and Research
You may be a good fit if you have
5+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architecture, or similar), ideally supporting mission-driven organizations such as nonprofits, foundations, educational institutions, or government agencies
Experience working as part of an account team alongside sales and technical counterparts
Experience managing high-touch strategic accounts and designing one-to-many programs (cohorts, webinars, user communities, or similar), with the judgment to know which a customer needs
A track record of driving activation and adoption of new technology, including change management in organizations with limited technical capacity
Experience driving success across both consumption-based and seat-based business models
Technical fluency with AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences from frontline staff to executive leadership
A strategic mindset to identify opportunities for expanded social impact and turn them into actionable plans
Comfort operating with significant autonomy in an early-stage regional team, and working effectively with global colleagues across time zones
Passion for both AI and social impact work, with strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
(Bonus) Fluency in French, German, Spanish, or Italian
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:
£125,000
—
£165,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
The role / impact
As a Senior Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end.
Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively.
The team / how they connect
You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions.
The team is currently working on / Initially, you will focus on
- Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP.
- Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite.
- Developing reusable automation patterns and shared templates to be used by the business
- Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows.
Where and how you can work
At Xero, we embrace a hybrid way of working that prioritises both flexibility and meaningful connection. You will have the autonomy to work from home, supported by regular boost days in our modern office spaces designed to foster collaboration, brainstorming, and team bonding.
Here are some of the things we are looking for
- You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure.
- Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini.
- You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks.
- A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront.
- You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs.
- You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication.
COMPENSATION & TOTAL REWARDS
At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role, we invest in people. We believe in a Total Package philosophy which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.
The expected base salary range for this role in:
- CAD $180K – CAD $210K
- Plus bonus and equity
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO. Xero also provides eligible employees with Wellbeing leave, volunteer leave, holidays, paid parental leave. Further information included on our Xero Perks page.
Location: United States
Workplace: OnSite
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?
Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters.
In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field.
As a Forward Deployed Engineer, you will:
• Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments.
• Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments.
• Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance.
• Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs.
• Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs).
• Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features.
• Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks.
You may be a good fit if you have:
• 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments.
• Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI).
• Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance.
• Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo).
• Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads.
• Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders.
• The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers.
• Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning.
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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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
Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production.
We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production.
If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit.
Key responsibilities
Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations
Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves
Design APIs and abstractions that work equally well for engineers and for AI agents
Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms
Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback
Build infrastructure-as-code workflows that many teams rely on for safe, routine changes
Scale artifact distribution so code and configuration reach machines quickly and efficiently
Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes
Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform
Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring
Minimum qualifications
Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java
Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams
Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP
Strong written and verbal communication skills
Preferred qualifications
Experience building deployment, release, or change management systems at large scale
Experience with production on-call and incident response
Experience with Rust in production
Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts
Deep knowledge of Kubernetes, including controllers and operators
Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking
Experience building feature flag, experimentation, or dynamic configuration systems
Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage
Experience with software supply chain security, such as signed build provenance
Experience building high-throughput workflow engines or control planes backed by relational databases
Experience building internal developer platforms and leading adoption across many teams
Experience using AI agents in your own engineering work, or building systems that agents operate
Representative projects
Build operator controls for progressive rollouts, including pause and resume that preserve rollout state
Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to
Build cluster-health-aware rollouts that steer around unhealthy clusters
Add a new workload type to the platform, including its rollout, verification, and rollback behavior
Design a deployment control plane that handles sharp bursts of agent-driven traffic
Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows
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:
$405,000
—
$485,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.
Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work.
Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work.
This role is the first Finance Engineer dedicated to private credit. You will build the credit playbook — demo library, workflow templates, use cases — while running live pilots, and lead the credit practice as the team grows.
You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time.
WHAT YOU'LL DO
Forward Deployed Finance Engineers on the private credit team are former credit investors who left the desk to help build the future of how credit gets underwritten. Working closely with Account Executives, they engage with direct lenders, opportunistic and specialty finance managers, BDC managers, and insurer credit arms throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding lenders through what's possible with AI, and sitting down with credit teams to build screening, underwriting, and credit committee workflows in the firm's own templates and formats.
The work is the work they did on the desk: lender presentation and CIM review; QoE read-throughs and data pack analysis; cash flow and leverage modeling; sizing and structuring; covenant and credit agreement review; credit memo drafting; and comps. It continues post-close into compliance certificate review, covenant tracking, amendment and waiver analysis, and quarterly portfolio reporting, so value compounds after the first deal. Along the way, Finance Engineers bring credit-team feedback back into the product, helping shape the future of Harvey.
WHAT YOU HAVE
- 6+ years on the investment or underwriting team at a direct lender, private credit fund, BDC manager, or insurer private credit arm, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, structuring, and drafting credit committee materials. Asset-based and specialty finance backgrounds are welcome. Leveraged finance, restructuring advisory, or rating-agency experience before the principal side is welcome, but principal-side deal execution is required.
- Strong command of the documents and data that drive a credit decision — lender presentation and CIM, QoE and data pack, model, credit agreement and intercreditor, compliance certificates — and an instinct for where the numbers and the paper disagree.
- Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus.
- Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and credit committee members.
- Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about a covenant package or an underwriting assumption.
- Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action.
- Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes.
- Customer-facing or commercial experience (LP or investor relations, capital formation, banking coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-LL1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New Jersey; New York; Connecticut
Workplace: remote
About the role:
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name.
Requirements:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have
Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What you’ll do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What We Offer:
Full-time.
On-site visits to client’s facilities and our office in NYC 1/week
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Base salary $200k–$250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
No Visa sponsorship
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates.
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
In AI, proximity to customer reality is the moat. Even the best model doesn't run itself: it takes someone who gets close enough to a customer's business to make it work, and that closeness doesn't happen on its own.
That's where the
Forward Deployed Product Manager
comes in. You'll work directly with our biggest customers at the moments that matter most in their journey with Fin, whether that's proving out value in an evaluation, getting a deployment live, or expanding what's possible once it's working, and get them to real, measurable success with Fin faster than they'd get there on their own. What you learn with them feeds back into the product, so every customer after them gets there faster and better too.
This is a very novel role in the industry, still being shaped, and you'll help sharpen what great looks like at Fin: evolving the playbooks, and shaping how we win and deliver on our biggest, highest-stakes deals.
This is a high-ownership, high-visibility role for a PM who wants real time with customers and hands-on time with the product, and who's comfortable making progress before every answer is known.
What will I be doing?
Own outcomes for a portfolio of strategic customers deploying Fin.
Understand their business, their support operation, and their technical environment well enough that the deployment plan you propose earns trust immediately.
Run the full arc yourself.
Pitch and demo Fin, scope the solution, hands-on configure it (including custom development if required), and unblock whatever gets in the way, whether that's a product gap, a technical integration, or a cross-functional snag.
Be the AI expert in the room.
Customers should leave every conversation with you knowing more about how to get outstanding results from Fin.
Partner tightly with Sales, Success, and R&D
so each deployment feels like one team to the customer, not a relay race.
Turn what you learn in the field into product.
Bring specific, evidence-backed input, not just feature requests, to shape the roadmap.
Build the playbook as you go:
the deployment patterns, templates, and best practices that make the next ten deployments faster than the first.
Help define what Forward Deployed PM means at Fin
. It's a very novel role across the industry, still being shaped, and you'll help sharpen what it looks like here.
Success in this role looks like your customers thriving with Fin, and the product getting sharper because of what you learned from them. It's product management at its core, not solutions engineering, customer success, or professional services.
What skills do I need?
Experience:
No minimum years required. We care about impact, drive, and potential, evidenced through the skills below, not tenure.
Customer obsession:
Deep empathy paired with a bias for action. You're motivated by solving the real problem and delivering measurable results.
Communication & storytelling:
You can pitch Fin to a room of executives, then get into the technical weeds with their engineers, adjusting depth and tone without losing either audience.
Technical fluency:
You're able to talk to engineers and customers about modern tech stack, from APIs and SaaS infrastructure to LLMs and low-code tooling. You're comfortable onboarding a customer into more technical product setups.
Evidence-based thinking:
You use data, not anecdotes, to make the case for a deployment plan or a roadmap bet, and you're comfortable pulling and interpreting data (conversation logs, usage, CX metrics) to find the story.
Cross-functional influence:
You navigate organizational boundaries easily, and bring people together to get the best outcome for customers and Fin.
Comfort with ambiguity:
You thrive in fast-changing, undefined environments, switching fluidly between big-picture strategy and in-the-weeds execution.
Operational rigor:
Operational rigor: You're highly organized and structured, managing multiple deployments and priorities without becoming reactive, and you know when a moment calls for speed versus polish.
Even better if you have:
Experience building product for enterprise customers
Startup or B2B SaaS experience
Background in technical consulting, solutions engineering, or customer success
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Dublin, Ireland
Workplace: OnSite
Dublin, Ireland | On-site
Full-time
OVERVIEW
Experience Required: 2+ years in software engineering, technical consulting, or a customer-facing engineering role
Education: Degree in Mathematics, Engineering, Computer Science, or equivalent practical experience
ABOUT WHIPPY
Whippy is an AI-powered enterprise contact centre that automates real business workflows across voice, SMS, chat, and APIs.
We integrate with telephony providers, CRMs, ATS platforms, and internal enterprise systems to power AI agents that handle inbound calls, qualification flows, onboarding processes, support queries, and operational tasks.
THE ROLE
As a Forward Deployed Engineer, you will embed directly into enterprise deployments and own the technical delivery of integrations between Whippy and customer systems.
You will operate at the intersection of APIs, telephony, databases, and AI workflows. You will design and ship production-grade systems, debug live issues, and convert customer-specific requirements into reusable platform capabilities.
This is a high-ownership role. You will work closely with customers, product, and core engineering to ensure deployments are robust, scalable, and repeatable.
WHAT YOU’LL DO
• Own end-to-end delivery of production integrations across CRM, ATS, telephony, and internal systems
• Design and implement reliable data flows between Whippy and external platforms
• Handle authentication, rate limits, retries, and failure modes in distributed systems
• Debug and resolve non-trivial production issues across webhooks, async workflows, and external APIs
• Improve logging, monitoring, and observability of deployment pipelines
• Translate ambiguous customer requirements into clear technical designs
• Identify repeated patterns and convert one-off implementations into reusable connectors or internal tooling
• Collaborate with product and engineering to push field learnings back into the platform
WHAT WE’RE LOOKING FOR
• 2+ years of experience in software engineering or technical consulting
• Strong backend fundamentals and comfort working with APIs and relational databases such as Postgres
• Experience integrating third-party systems or working with external APIs in production
• Understanding of distributed systems concepts such as idempotency, retries, async processing, and error handling
• Experience debugging production systems under time pressure
• Clear, structured communicator able to explain trade-offs to both technical and non-technical stakeholders
• Ownership mindset and comfort operating with ambiguity
NICE TO HAVE
• Experience with telephony, event-driven systems, or webhook-based architectures
• Exposure to AI workflows, automation systems, or LLM integrations
• Experience working directly with enterprise customers, e.g in consulting, banking or equivalent
WHAT SUCCESS LOOKS LIKE
Within 90 days, you will:
• Own at least one enterprise deployment end-to-end
• Resolve a meaningful production issue independently
• Ship at least one reusable improvement that reduces future deployment effort
• Demonstrate strong judgment around scope, trade-offs, and customer impact
Location: United States
SingleStore is seeking a Forward Deployed Engineer (FDE) to operate at the intersection of solution architecture, technical delivery, and customer partnership. This role combines elements of a solutions architect, technical account manager, and solution engineer, with a strong emphasis on execution.
As an FDE, you will serve as a trusted technical advisor and sounding board for customers, helping them design, implement, and scale real-time data solutions using SingleStore. You will work closely with customers to understand their business objectives, translate them into technical strategies, and drive those solutions into production. This role requires a delivery mindset, strong technical depth, and the ability to lead both strategic conversations and hands-on execution.
Role and Responsibilities
Partner directly with customers to understand their architecture, use cases, and business goals, and translate them into scalable technical solutions.
Design and implement end-to-end solutions integrating SingleStore into existing application and data ecosystems.
Lead whiteboard sessions to shape ideas, define architecture, and convert concepts into technical specifications and execution plans.
Act as a proactive thought partner, bringing ideas and guiding conversations rather than reacting to requirements.
Own delivery of high-impact initiatives from concept through production, ensuring successful outcomes.
Provide hands-on support, including troubleshooting, optimization, and applying pragmatic solutions or fixes when needed.
Collaborate closely with Sales, Solutions Engineering, Product, and Engineering teams to align customer needs with product capabilities and roadmap.
Help customers prioritize and operationalize their data initiatives, balancing ambition with practical delivery.
Feed insights from customer engagements back into Product and Engineering to influence roadmap and improvements.
Your Experience
10+ years of experience in solution architecture, solution engineering, or technical consulting (pre-sales and/or post-sales).
Strong foundation in databases, distributed systems, or software engineering.
Proven experience delivering production-grade solutions in customer-facing environments.
Experience integrating complex systems across data pipelines, applications, and infrastructure.
Ability to translate ambiguous requirements into clear technical plans and drive execution.
Experience working with enterprise customers, particularly in financial services or high-tech environments, is highly preferred.
Strong communication and organizational skills, with the ability to guide both technical and non-technical stakeholders.
Demonstrated ability to balance technical innovation with pragmatic delivery and realistic scoping.
Alignment with product capabilities and roadmap, ensuring solutions are both impactful and feasible.
SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.
Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
SingleStore’s base salary range for this role, if based in States: $120,000- $200,000 USD per year
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
Req ID: SLS00304
Location: United States
SingleStore is seeking a Forward Deployed Engineer (FDE) to operate at the intersection of solution architecture, technical delivery, and customer partnership. This role combines elements of a solutions architect, technical account manager, and solution engineer, with a strong emphasis on execution.
As an FDE, you will serve as a trusted technical advisor and sounding board for customers, helping them design, implement, and scale real-time data solutions using SingleStore. You will work closely with customers to understand their business objectives, translate them into technical strategies, and drive those solutions into production. This role requires a delivery mindset, strong technical depth, and the ability to lead both strategic conversations and hands-on execution.
Role and Responsibilities
Partner directly with customers to understand their architecture, use cases, and business goals, and translate them into scalable technical solutions.
Design and implement end-to-end solutions integrating SingleStore into existing application and data ecosystems.
Lead whiteboard sessions to shape ideas, define architecture, and convert concepts into technical specifications and execution plans.
Act as a proactive thought partner, bringing ideas and guiding conversations rather than reacting to requirements.
Own delivery of high-impact initiatives from concept through production, ensuring successful outcomes.
Provide hands-on support, including troubleshooting, optimization, and applying pragmatic solutions or fixes when needed.
Collaborate closely with Sales, Solutions Engineering, Product, and Engineering teams to align customer needs with product capabilities and roadmap.
Help customers prioritize and operationalize their data initiatives, balancing ambition with practical delivery.
Feed insights from customer engagements back into Product and Engineering to influence roadmap and improvements.
Your Experience
10+ years of experience in solution architecture, solution engineering, or technical consulting (pre-sales and/or post-sales).
Strong foundation in databases, distributed systems, or software engineering.
Proven experience delivering production-grade solutions in customer-facing environments.
Experience integrating complex systems across data pipelines, applications, and infrastructure.
Ability to translate ambiguous requirements into clear technical plans and drive execution.
Experience working with enterprise customers, particularly in financial services or high-tech environments, is highly preferred.
Strong communication and organizational skills, with the ability to guide both technical and non-technical stakeholders.
Demonstrated ability to balance technical innovation with pragmatic delivery and realistic scoping.
Alignment with product capabilities and roadmap, ensuring solutions are both impactful and feasible.
This is a customer-facing role, and we prefer candidates based in the NYC area or within a commutable distance.
SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.
Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
SingleStore’s base salary range for this role, if based in States: $120,000 - $200,000 USD per year
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
Location: England; Portugal; Spain; Italy; Germany
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.
As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.
The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities.
_______________________________________________________________________
RESPONSIBILITIES
Build in Production with Customers
- Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary.
- Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress.
- Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling.
- Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it.
Make AI Adoption Safe and Governable
- Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production.
- Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience.
- Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds
- Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control.
Partner with Solutions Architecture and the Field
- Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary.
- Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns.
- Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption.
Close the Loop with Product and Engineering
- As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services.
- Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t.
- Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap.
Shape the Practice
- Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners.
- Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team.
- Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services.
- Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns.
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
_______________________________________________________________________
QUALIFICATIONS
Required
- 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience.
- Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence.
- Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews.
- Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals.
- Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior.
- Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD.
- Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP).
- Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality.
- Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority.
- Proven track record of technical mentorship and of raising the bar for the engineers around you.
- High agency and comfort operating autonomously in distributed, remote-first teams.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Travel to customer sites to build in person with customer teams, estimated at up to 50%.
Bonus
- Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner.
- Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings.
- Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors.
- Contributions to open source projects in the container, Kubernetes, or MCP ecosystems.
- Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Europe: €121K – €198K base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: New York, NY; San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU'LL DO
As Sierra’s founding Technical Program Manager for Enterprise Cloud Deployments, you’ll help define how we bring our AI platform into the cloud environments of some of the world’s largest and most regulated enterprises. Working alongside Agent Engineers, Deployed Infrastructure Engineers, and Agent Strategists, you’ll own the programs & strategy that take customers from deployment planning to agents live in production, and continue to support the upgrades and expansion that follow. You’ll bring your technical program management expertise to enterprise AI while establishing the playbooks and ways of working that help this new function scale.
- Own the end-to-end program plan for a customer's in-VPC (Bring Your Own Cloud, BYOC) deployment. Translate customer requirements into a clear deployment plan, with clear workstreams, owners, milestones, and dependencies across Sierra and customer teams.
- Keep the customer's teams (platform engineering, cloud provisioning, security, networking, model access) aligned and moving, and clear blockers before they hit the launch date.
- Be the translation layer between our engineers and the customer's: define requirements such as model access, observability, and upgrade cadence, and turn technical discussions into actionable next steps.
- Run the operating cadence (standups, weekly status, escalations) so leadership and working groups on both sides always know where the project stands.
- Partner with Sierra's Platform and Deployed Infrastructure teams to feed customer-specific learnings back into our standard deployment offering, runbooks, and tooling, making each subsequent launch more predictable and repeatable.
- Define the TPM function at Sierra as we scale & establish the playbooks, operating rhythms, and standards that future TPMs and customer teams will build on.
WHAT YOU'LL BRING
- 4+ years in technical program management, infrastructure or platform program management, deployment or solutions engineering, or a similar role where you were accountable for delivering complex technical projects across multiple teams.
- A track record of bringing structure to complex technical programs, with strong attention to detail and the follow-through to turn plans into results.
- A strong technical foundation from infrastructure, platform, or complex backend programs. You can work through technical dependencies with engineers, understand how requirements such as networking, permissions, and provisioning affect delivery, and translate those discussions into a clear plan. You’ll deepen your knowledge of Sierra’s architecture and customer deployment environments as you ramp.
- Technical curiosity: you learn new systems quickly, ask thoughtful questions, build context, and apply what you learn to move programs forward.
- Comfort operating inside large, complex enterprise organizations (change management, security reviews, ownership spread across many teams) with the persistence and resourcefulness to keep teams aligned and deployments moving.
- Clear, structured communication: you make complex technical topics, program status, and decisions understandable to engineers and leaders, and adapt your approach to your audience.
- Degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
EVEN BETTER…
- Hands-on engineering background (software, DevOps, SRE, or infrastructure) before moving into program or product management, or direct experience with AWS, VPCs, IAM, Kubernetes, or Terraform.
- Experience deploying software into customer-owned cloud environments (BYOC, VPC, or air-gapped), especially at banks or other regulated institutions.
- Familiarity with LLM infrastructure: model gateways, Bedrock or Azure OpenAI, observability for AI systems.
- Experience at an early-stage company where you built the program-management function from scratch.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: New York City Office
Workplace: Hybrid
COMPANY DESCRIPTION
Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
ROLE DESCRIPTION
Great Forward Deployed Engineers make deployments succeed. The Forward Deployed Engineering Team Manager makes the whole team succeed. In this role you will lead a team of FDEs and own delivery outcomes across your book: clean builds, on-time milestones, and healthy, growing accounts. You set the quality bar for everything the pod ships and turn what works into standard practice
This is a management seat with real autonomy. You decide how the pod runs and own the results. You will work closely with Account Partners, Implementation Engineers, and Product, so your focus stays on your whole book of business, the development of the people delivering it, and the systems that make your team run. The role reports to the VP of Solutions and is the proving ground for delivery leadership at Tennr.
RESPONSIBILITIES
- Own your team’s key metrics: time to first outcome from go-live, delivery predictability on key milestones, and adoption and health across all accounts.
- Hold the quality bar: review scoping and architectures before they are built, require dry runs for high-stakes moments (architecture reviews, demos, UAT), and sample live customer calls to coach execution.
- Hire and develop every FDE in the pod through weekly 1:1s, evidence-based reviews, clear 30/60/90 ramp expectations, and documented growth plans.
- Act as first line of defense on escalations: diagnose root causes, set direction, and coordinate the fix through the team, then coach so it does not recur.
- Serve as the technical solutioning partner for FDEs working through hard architecture and workflow problems.
- Act as the final scoping gate on pre-sales engagements, catching post-sale risk before contracts close.
- Turn patterns across the pod’s accounts into a clear signal for Product, and close the loop with the team on what ships.
CANDIDATE QUALIFICATIONS
- Experience leading and developing a team of implementation, solutions, or technical delivery professionals
- Track record of successfully delivering complex customer implementations, healthcare or healthcare technology experience is preferred
- Strong technical judgment on architecture and workflow design, with the ability to guide a build without taking it over
- Comfort inspecting work and holding a high bar, including when the work looks fine
- Clear communication with customers and executives, and the ability to surface risk and trends upward early
- Experience partnering with Product to turn recurring field patterns into roadmap priorities
- High ownership mindset and comfort in a fast-paced, ambiguous environment
WHY TENNR?
- Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
- Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
- Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
- Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week
- Free lunch! Plus a pantry full of snacks.
BENEFITS
- Beautiful new office at 345 Hudson Street
- Unlimited PTO
- 100% paid employee health benefit options
- Employer-funded 401(k) match
- Competitive parental leave
ГибридToronto; Canada; Vancouver; Ottawa; Montreal; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
УдалённоseniorNew Jersey; New York; Connecticut
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London, UK; You'll operate with significant autonomy while staying closely aligned with global teams, which calls for someone who thrives in ambiguous environments and works effectively across time zones; Comfort operating with significant autonomy in an early-stage regional team, and working effectively with global colleagues across time zones
ГибридseniorГеография найма не уточнена
ОфисUnited States; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
УдалённоRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
ГибридLondon
УдалённоseniorNew Jersey; New York; Connecticut
seniorDublin, Ireland
ОфисDublin, Ireland
United States
United States; This is a customer-facing role, and we prefer candidates based in the NYC area or within a commutable distance
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