About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.

Position Overview As anAgentic Engineer, you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.

Key Responsibilities

• Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.

Qualifications

• Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
• Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
• Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.

Location: Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.

Who We Are

• Small & Agile: We're a tight-knit engineering team of fewer than 10 people who move fast and make things happen
• High Agency: We operate with autonomy and ownership - everyone acts like a founder and drives meaningful impact
• Action-Oriented: We believe in "see something, do something" - no bureaucracy, just results
• Passionate Builders: We take pride in crafting elegant code, intuitive applications, and solving real problems
• Team First: We genuinely enjoy working together and believe great products come from great relationships
• Quality Focused: We ship code we're proud of and build systems that stand the test of time

What We Offer

• Competitive salary and benefits package.
• Leadership role in pioneering autonomous AI systems in the insurance industry.
• A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
• A collaborative and forward-thinking work environment at the intersection of AI and insurance.
• Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.

Compensation Range: $175,000 – $275,000 annual base salary + bonus + equity (commensurate with experience and dependent on location)   

About the Role:

Gusto is looking for an experienced, hands-on people manager to lead a core Data Science & Analytics team. This role sits at the heart of how we use data — and increasingly AI — to understand, shape, and scale Gusto's products. You’ll both manage a team of data scientists and analysts as well as personally get in-the-weeds to work closely with Product, Engineering, Design, Marketing, Sales, and Finance to deliver insights and frameworks that inform strategy, optimize user experiences, and accelerate business growth.

We're looking for a leader who can balance strategic influence with hands-on craft — someone who can guide senior Gusto leaders through data and AI strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.

Here’s what you’ll do day-to-day:

• Lead and develop a team of data scientists – hire, empower, and coach team members; set a high bar for analytical quality and career growth.
• Shape product and business strategy through data – partner with Product and cross-functional leaders to identify opportunities, prioritize investments, and influence long-term product roadmaps.
• Develop and scale measurement frameworks – define key metrics, design monitoring systems, and ensure product initiatives — including AI-powered features — are rigorously tracked and evaluated.
• Support experimentation and decision-making – support inferential analyses and experimentation (e.g., A/B tests, segmentation, funnel analysis), including designing evaluations for AI and ML-driven systems, ensuring findings are actionable and aligned to strategic goals.
• Partner on AI-powered product development – collaborate with ML Engineering and Product to bring intelligent features to life (personalization, predictions, intelligent automation), ensuring they're grounded in customer insight and measured for real-world impact.
• Balance strategic and hands-on impact – dive deep into data, review and refine analyses, and ensure insights are both technically sound and business-relevant.
• Influence senior leadership – communicate insights and recommendations clearly, framing trade-offs and shaping executive decision-making.

Here’s what we're looking for:

• 10+ years of experience in data science or related fields, with at least 4 years managing and scaling high-performing data science teams.
• Deep expertise in product analytics – experience with user acquisition, activation, retention, engagement, or expansion in SaaS or product-led environments.
• Technical fluency – advanced coding skills, strong statistical reasoning, and familiarity with experimentation frameworks; ability to mentor data scientists on best practices.
• AI product intuition – experience working at the intersection of data science and AI product development; comfort reasoning about model behavior, evaluation design, and the tradeoffs of deploying AI in customer-facing contexts.
• Strategic and business acumen – demonstrated ability to connect insights to product and business goals, and to influence roadmaps through data.
• Executive communication skills – proven experience presenting insights to senior stakeholders, turning complex data into clear and actionable recommendations.
• Cross-functional collaboration – history of working closely with Product, Engineering, and go-to-market teams to drive decisions and deliver impact.
• Hands-on experience with ML applications in product contexts (e.g., personalization, churn prediction, customer segmentation, or LLM-powered features) is strongly preferred.
• Familiarity with multi-product SaaS ecosystems and customer lifecycle analytics is desirable.

Our cash compensation amount for this role is targeted at $217,000 - $265,000 in San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Paid Media Manager

Position: Contractor (mid-May to the end of Oct), 40hrs/wk 

Location: Remote, MT or PT based

About the Role

We’re looking for a Paid Social Media Manager with deep expertise in TikTok and Meta to join Movement Strategy.

This role sits at the intersection of paid media and creator marketing — ideal for someone who is equally comfortable owning campaigns end-to-end in Ads Manager as they are collaborating with influencer teams to bring creator-led campaigns to life.

You will lead creator-led paid social campaign execution that is at the center of a brand campaign launch for a new non-profit organization, with a strong focus on TikTok-first strategies, including Branded Mission campaigns, Spark Ads, and creator amplification.

This is a Manager-level role, meaning you will operate with a high degree of ownership, make independent decisions within strategy, and serve as a key partner across teams.

A BIT ABOUT US

Movement Strategy creates content and campaigns for the world’s most exciting brands. We win awards, make headlines, shatter engagement numbers and celebrate the journey along the way. It’s why companies like Netflix, Amazon, Spotify, and Intuit come to us again and again.

We’re fully remote with hubs in New York, Denver, and LA, and a presence all across the US. We believe collaboration is what takes our work from good to great, and at times, even to legendary status. We champion diverse opinions and creativity in every department, and provide professional development and learning opportunities with the goal of helping you discover your best work today, and learn how to make it even better in the future.

KEY FOCUS AREAS 

Campaign Ownership & Execution

• Own end-to-end execution of paid social campaigns across TikTok and Meta
• Support senior manager and associate director of paid media to manage reserved media buys across TikTok, Meta, Google (YouTube) and programmatic partners.
• Manage full campaign lifecycle: setup, QA, trafficking, pacing, optimization, and reporting
• Ensure campaigns are executed accurately, on time, and within scope — with strong attention to detail
• Make independent optimization decisions within agreed strategy, including:
• Audience adjustments
• Budget shifts
• Creative rotation and testing

Creator + Paid Integration (Core to Role)

• This is a hybrid role that manages TikTok creator content briefing and content development, with a dotted line reporting into Group Director of Influencer Marketing.
• Partner with the Group Director of influencer teams to:
  • Develop creator briefs aligned to paid objectives
  • Review and select creator content for organic publishing (via creator’s own handle) and paid amplification (boosting)
• Manage creator workflows from:
  • Briefing → feedback → approvals → whitelisting/Spark Ads → go-live
• Execute campaigns via:
  • TikTok Ads Manager
  • TikTok One (Creator Marketplace)
• Ensure creator content is optimized for performance, not just delivery

TikTok Specialty

• Own and execute TikTok Branded Mission campaigns end-to-end
• Brief, identify, source, and activate creators within TikTok ecosystem
• Apply deep understanding of TikTok formats, trends, and performance signals
• Stay ahead of platform updates, beta features, and emerging opportunities

Measurement, Reporting & Insights

• Analyze paid media performance data in partnership with the Senior Manager and Associate Director of Paid Media team, Strategy and Analytics team, connecting insights to recommendations and business implications.
• Own insights and commentary of reporting deliverables that go beyond metrics—telling a clear story about what happened and why, and how to move forward.
• Use platform tools, client provided and measurement partners data to triangulate insights.
• Collaborate with Data & Insights to validate findings, build benchmarks, and improve predictive modeling.

Cross-Functional Collaboration

• Proactively partner with peers across:
• Strategy
• Creative
• Influencer
• Client Engagement (C&E)
• Coordinate timelines, inputs, and deliverables across teams
• Flag cross-functional dependencies, risks, and trade-offs early
• Adjust paid execution based on upstream and downstream constraints

Innovation, Testing & Trend Intelligence

• Stay deeply informed on platform trends, new ad formats, AI advancements, creative best practices, and measurement evolution.
• Bring forward opportunities that leverage new channels, targeting tactics, and creative experimentation.
• Help push clients toward data-supported innovation and performance improvement.

QUALIFICATIONS + KEY FOCUS AREAS

Must-Haves

• 3–5 years of experience in paid social media (TikTok + Meta)
• Hands-on experience owning campaigns in TikTok Ads Manager end-to-end
• Proven experience executing TikTok Branded Mission campaigns
• Experience managing creator content from:
• Briefing → feedback → paid amplification
• Experience using TikTok One (Creator Marketplace)
• Strong understanding of creator-led performance marketing

Nice-to-Haves

• Experience in nonprofit or mission-driven campaigns
• Agency experience
• Familiarity with additional platforms (YouTube, Reddit, etc.)

Who You Are

• Comfortable operating with autonomy while staying aligned to strategy
• Deeply curious about what drives performance on TikTok and Meta
• Detail-oriented, organized, and highly accountable
• Collaborative and proactive in cross-functional environments
• Excited about shaping how paid media and creator strategies work together    

SALARY & COMPENSATION

In compliance with local and state law, we are disclosing the compensation for roles that will be performed in New York City, Colorado, and California. The range listed is just one component of Movement Strategy’s total compensation package for employees.  Individual compensation varies based on location, business needs, level of responsibility, experience, and qualifications. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. 

A successful applicant’s actual base salary may vary based upon, but not limited to, skill sets, years of relevant experience, qualifications, and certifications or other professional licenses held. Movement Strategy prides itself on providing competitive salaries and actively works to ensure there is pay equity across the company. 

Pay Range: $55/hour 

Movement Strategy is an Equal Opportunity Employer

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they check every single box. Movement Strategy is dedicated to building a diverse and inclusive workplace and strongly encourages those from historically and systemically marginalized communities to apply. 

We believe that what we put out into the world matters. And since we were founded on the principles of paving our own path, we take bold steps toward what we believe is the right direction. This means addressing the big stuff: the systems of inequality that impact some of us far more than others. As culture creators, we firmly believe we have a responsibility to our colleagues, clients, communities, and the industry to live up to the Movement’s name. We confront inequities head-on as they come, knowing that this work is never done and that we must keep the momentum.

What you'll be doing:

Client Partnership & Implementation

• Own and manage an enterprise client portfolio as primary technical advisor
• Deliver seamless implementations from kickoff through go-live, coordinating internal teams and ensuring timely deployment
• Develop deep knowledge of each client's goals and translate them into actionable plans with measurable results
• Engage clients regularly via Zoom, email, phone, and on-site visits to strengthen relationships and ensure alignment

Adoption & Value Realization

• Drive product adoption with measurable improvements in usage metrics and client health scores
• Conduct technical assessments of API implementations and lead quarterly optimization sessions
• Guide clients on product integrations and troubleshooting in collaboration with Implementation Engineer and Support
• Serve as the first technical point of contact for enterprise clients during implementation and post–go-live, owning technical triage and driving resolution with Implementation and Support.
• Educate clients on best practices to maximize value from Symmetry's solutions

Client Health & Retention

• Monitor client health scores, usage metrics, and interaction to identify risks early and implement mitigation plans
• Provide prompt, professional responses to inquiries ensuring fast resolution and strong confidence
• Support renewal readiness and risk mitigation in partnership with Account Manager

Operational Excellence

• Identify process improvements that reduce implementation time and increase team capacity
• Leverage AI tools and automation to streamline reporting, communication, and coordination
• Maintain thorough documentation in CRM and ticketing systems
• Collaborate with Sales, Product, Engineering, and Support to address issues and drive continuous improvement

Experience & Requirements:

Required Background:

• Bachelor's degree or equivalent combination of education and experience
• 5+ years in Client Success, Account Management, or Implementation Management in B2B SaaS
• Proven track record managing enterprise portfolios and guiding retention, adoption, and satisfaction
• Experience project managing complex software implementations from kickoff through go-live
• Technical aptitude to understand API/SDK integrations, conduct assessments, and troubleshoot issues
• Track record leveraging data and metrics to drive client outcomes and operational efficiency
• Experience in payroll, HR tech, or compliance technology strongly preferred

Core Skills & Attributes:

• Proven technical acumen with ability to translate capabilities into business value
• Extraordinary relationship-building skills to advise enterprise stakeholders on technical and business outcomes
• Outstanding communication skills with ability to simplify complex technical concepts
• Proactive, ownership-driven mindset with accountability for results
• Keen analytical and critical thinking with comfort in qualitative and quantitative analysis
• Great organizational and project management skills managing multiple priorities
• Client-first orientation committed to delivering measurable value
• Collaborative team player thriving in cross-functional partnerships
• Demonstrated ability to leverage AI and automation for efficiency
• Continuous learning mindset staying current on product innovations

Technology Experience:

• Comprehension of API/SDK architecture, RESTful APIs, and integration concepts
• Ability to read API documentation and guide clients through technical implementation
• Experience with API testing tools (Postman or similar) for client troubleshooting
• Proficiency with CRM systems (NetSuite, Salesforce, or comparable)
• Experience with customer success platforms (Catalyst, Gainsight, ChurnZero, or similar)
• Working knowledge of project management and ticketing systems (Jira, Asana, Zendesk, or comparable)
• Proficiency with Google Workspace (Slides and Sheets including formulas and data analysis)
• Experience with virtual meeting platforms (Zoom, Microsoft Teams, or similar)
• Experience with generative AI tools (ChatGPT, Gemini, or comparable) and building AI agents
• Project management certification (PMP, CAPM, Google Project Management) is a plus
• API fundamentals certification (Postman Student Expert or equivalent) is a plus

Compensation Details

Our cash compensation amount for this role is targeted at $121,000/yr- $149,000/yr in Scottsdale. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. 

Symmetry Software is part of Gusto. Symmetry is the payroll infrastructure for software & payroll platforms powering the paychecks of over 64 million workers each year. Our fully integrated suite of payroll tax APIs and software tools allows companies to solve tax compliance issues and build applications across the entirety of the payroll process.

What Product Management is like at Symmetry:

• Our Product team is lean, which means you’ll have a high degree of impact and ownership. We believe in smaller, empowered teams that move quickly with less overhead. You’ll pair sharp product judgment with fluency in AI tools — automating what slows teams down and amplifying what makes them creative and high-performing.
• We’re builders. Lines between roles are intentionally blurred, and our PMs do whatever it takes to deliver outcomes. You’ll prototype, automate, design, and ship — using AI as your co-builder to turn problems into durable solutions that deliver customer value with urgency and care.
• We’re here to serve the payroll industry. Our technology impacts over 64 million paychecks in the US each year. We’re driven by deep customer empathy and a relentless desire to innovate.
• We’re comfortable with change. Our environment moves fast, and PMs here thrive in ambiguity — blending curiosity, experimentation, and AI-native craft to shape how products (and work itself) are built at Symmetry.

About the Role:

We’re  looking for a product leader to own the development of new business lines for payroll tax products. This 0 to 1 focused role will have broad autonomy to lead discovery, strategy, and execution for new products in payroll tax. This role will be expected to deliver durable business outcomes such as new revenue and existing revenue retention.

The right person will be an activator who couples strength in execution with a strong sense of ownership to delivering market success. You will work directly with a new product development engineering team and focus on AI-powered solutions that redefine our market.

Here’s what you’ll do day-to-day:

• Ownership: Lead long-term strategy. This includes spearheading research, defining customer and market positioning, shaping product direction, and identifying the investments and internal capabilities required for success. You’ll translate this strategy into actionable guidance that informs company-wide planning and execution.
• North Star: Focus the organization on what matters most. Identify the highest-leverage investments and decisions across functions that will unlock long-term success, reduce ambiguity, and ensure that Symmetry is building toward a market-winning payroll tax offering.
• Collaborate: Partner across Product, Engineering, Compliance, Legal, CX, Marketing, Sales, and Operations to uncover insights, validate assumptions, and build alignment. You’ll help create shared context and ensure cross-functional teams are set up to deliver.
• Accelerate Execution: Step into the highest-priority gaps that stand in the way of success. Whether it’s clarifying requirements, kicking off strategic initiatives, or embedding with a team to drive execution, you’ll help advance the work by creating clarity, building momentum, and enabling others to succeed.

Here’s what we're looking for:

• 6+ years of hands-on product management experience, with 3+ years of success building 0 to 1 products
• Proven track record of building 0 to 1 products with demonstrable evidence of:
  • Deep product discovery skills with the ability to navigate a high degree of ambiguity
  • Building 0 to 1 products in highly regulated categories
  • Experience building personalized products or optimized workflows using Gen AI/ ML
  • Extraordinary cross-functional collaborator and leader
• Ability to identify emerging opportunities and industry trends, build business cases, define product vision and strategy, and create a supporting roadmap that rapidly iterates into delivering on your vision
• Entrepreneurial, passionate about our mission, and have deep empathy for our customers
• Built products at scale with good UX that users love
• Bonus points for experience with payroll / payroll tax

Compensation Details

Our cash compensation amount for this role is targeted at $143,000/yr to $179,000/yr in Scottsdale & most remote locations, and $184,000/yr to $230,000/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

What Product Management is like at Symmetry:

• Our Product team is lean, which means you’ll have a high degree of impact and ownership. We believe in smaller, empowered teams that move quickly with less overhead. You’ll pair sharp product judgment with fluency in AI tools — automating what slows teams down and amplifying what makes them creative and high-performing.
• We’re builders. Lines between roles are intentionally blurred, and our PMs do whatever it takes to deliver outcomes. You’ll prototype, automate, design, and ship — using AI as your co-builder to turn problems into durable solutions that deliver customer value with urgency and care.
• We’re here to serve the payroll industry. Our technology impacts over 64 million paychecks in the US each year. We’re driven by deep customer empathy and a relentless desire to innovate.
• We’re comfortable with change. Our environment moves fast, and PMs here thrive in ambiguity — blending curiosity, experimentation, and AI-native craft to shape how products (and work itself) are built at Symmetry.

About the Role:

We’re  looking for a product leader to own the development of new business lines for payroll tax products. This 0 to 1 focused role will have broad autonomy to lead discovery, strategy, and execution for new products in payroll tax. This role will be expected to deliver durable business outcomes such as new revenue and existing revenue retention.

The right person will be an activator who couples strength in execution with a strong sense of ownership to delivering market success. You will work directly with a new product development engineering team and focus on AI-powered solutions that redefine our market.

Here’s what you’ll do day-to-day:

• Ownership: Lead long-term strategy. This includes spearheading research, defining customer and market positioning, shaping product direction, and identifying the investments and internal capabilities required for success. You’ll translate this strategy into actionable guidance that informs company-wide planning and execution.
• North Star: Focus the organization on what matters most. Identify the highest-leverage investments and decisions across functions that will unlock long-term success, reduce ambiguity, and ensure that Symmetry is building toward a market-winning payroll tax offering.
• Collaborate: Partner across Product, Engineering, Compliance, Legal, CX, Marketing, Sales, and Operations to uncover insights, validate assumptions, and build alignment. You’ll help create shared context and ensure cross-functional teams are set up to deliver.
• Accelerate Execution: Step into the highest-priority gaps that stand in the way of success. Whether it’s clarifying requirements, kicking off strategic initiatives, or embedding with a team to drive execution, you’ll help advance the work by creating clarity, building momentum, and enabling others to succeed.

Here’s what we're looking for:

• 6+ years of hands-on product management experience, with 3+ years of success building 0 to 1 products
• Proven track record of building 0 to 1 products with demonstrable evidence of:
  • Deep product discovery skills with the ability to navigate a high degree of ambiguity
  • Building 0 to 1 products in highly regulated categories
  • Experience building personalized products or optimized workflows using Gen AI/ ML
  • Extraordinary cross-functional collaborator and leader
• Ability to identify emerging opportunities and industry trends, build business cases, define product vision and strategy, and create a supporting roadmap that rapidly iterates into delivering on your vision
• Entrepreneurial, passionate about our mission, and have deep empathy for our customers
• Built products at scale with good UX that users love
• Bonus points for experience with payroll / payroll tax

Compensation Details

Our cash compensation amount for this role is targeted at $143,000/yr to $179,000/yr in Scottsdale & most remote locations, and $184,000/yr to $230,000/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. 

About the Role:

At Gusto, we believe the next frontier of competitive advantage is the intelligence of the systems that power our people. As the Sr Principal PM, AI Workforce Enablement, you are the architect of the "Superhuman Agent." You won't just manage tools; you will redefine the relationship between Gusto’s workforce and technology. You are responsible for evolving our internal foundation into a proactive, agentic platform where AI handles the cognitive load, allowing our Go-to-Market (GTM) and Service teams to focus on high-value human connection. You will lead the transition of our legacy ecosystem into a future-state "exoskeleton" that empowers every employee to deliver an unparalleled, frictionless experience to our customers.

Gusto is looking for a hands-on builder to take on this leadership mantle as we rethink how people grow in an AI-native company. This role is not just about designing the systems that shape growth day-to-day, but the actual mechanics of work. You will be responsible for building new architecture and tearing down what no longer serves us. The goal is simple but hard: make growth obvious, continuous, and hard to avoid.

We’re looking for a leader who can balance strategic influence with hands-on craft—someone who can guide senior Gusto leaders through AI-native data strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.

About the Team:

The Unified Service Platform (USP) product team serves as Gusto’s architectural backbone, responsible for engineering the intelligent, AI-driven ecosystem that brings GTM and Service operations into alignment. Our mission is to replace fragmented point solutions with a singular System of Intelligence—a digital exoskeleton that strips away administrative friction so our teams can focus on what matters most: our customers. Through our commitment to a #OneGusto experience, we provide the platform that ensures every internal interaction is backed by the full context of the customer journey.

We are an AI-native team building "agentic" solutions that transform how work happens. By mastering the AI-Human-AI loop, we own the delivery of a seamless, cross-channel journey across voice, chat, and email. Our goal is to ensure that our internal technical excellence creates an instant, easy and effortless experience for every business Gusto serves.

Here’s what you’ll do day-to-day:

• Architect of the "System of Intelligence": Lead the evolution of Gusto’s internal workspace by integrating 1P (first-party) and 3P (third-party) systems into a unified platform. Transform CRM into a proactive platform that anticipates agent needs and triggers automated workflows across the entire tech stack before manual intervention is required.
• Design the Future-State Agent Experience: Build the product mechanics for a symbiotic "AI-Human-AI" loop, where intelligent systems handle high-volume tasks and documentation, elevating our human experts to focus on high-value, high-empathy problem solving.
• Engineer the "Digital Exoskeleton": Ship real-time, context-aware assistance and agentic tools that eliminate cognitive load, enabling every Gustie to operate with "superhuman" speed and accuracy across voice, chat, and email.
• Lead with Technical Craft: Partner with Data Science and Engineering to bridge the gap between high-level AI strategy and rigorous execution, ensuring our models drive measurable gains in both agent productivity and employee sentiment.

Here’s what we're looking for:

• Visionary Product Leadership: 10+ years of experience in product management, with a proven track record of leading high-stakes internal platforms, RevOps, or Service technology at scale.
• AI Builder & Strategist: AI/ML specialist with deep expertise in LLMs and agentic workflows, building and shipping custom AI solutions that transform how teams work and scale.
• Systems Thinker: You see the "big picture" of how data and tools flow across a company and can architect solutions that solve for the end-to-end customer journey.
• Change Agent: Experience leading large-scale organizational transformations or merging complex technical teams into a unified organization.
• Human-Centric Empathy: A passion for "the work of work"—you are obsessed with making tools that employees love to use and that remove the friction from their daily lives.
• Strategic Execution: The ability to balance long-term 18-month missions (like #OneGusto) with the immediate tactical needs of a fast-growing GTM engine.

If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Our cash compensation amount for this role is $204,000/yr to $238,000/yr in Denver & most major metro locations, and $240,000/yr to $280,000/yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

About Design at Gusto:

Design at Gusto is made up of over 80 creative, collaborative people who care deeply about our mission to empower small businesses and their employees. We're a cross-functional group that is always looking for opportunities to build understanding and empathy for the people who use Gusto. We don't care much about swim lanes and though we care deeply about quality and craft, we are never precious about it. We work closely with cross-functional partners in Product, Engineering, Data, and Marketing to design, build, and ship experiences that make a real difference. We believe great design can make hard things possible, even delightful.

We are building an AI-native design organization — and we mean that seriously. We're looking for designers who are already working this way: using AI to prototype ideas quickly, shorten customer feedback loops, and ship quality UX directly to customers. This isn't a future aspiration — it's how we work now, and it's changing what the design role looks like at Gusto and across the industry.

About the Team:

The Retirement team at Gusto builds financial products and services that help bridge the retirement gap for small business owners and their employees. With 401(k) plans designed to be affordable, easy to manage, and easy to understand, Gusto is working to make retirement accessible to small businesses and teams that have historically been underserved by the 401(k) market.

We’re a collaborative group that values creativity, transparency, and a deep respect for our craft. We hold ourselves to a high bar and actively support one another so that we can do our best work. Our process incorporates using AI in our daily workflows to move faster, explore ideas, and increase our impact. From building tools that help individuals navigate their financial future to new retirement offerings, the Retirement team plays a central role in contributing to Gusto’s mission. 

About the Role:

We’re hiring a Staff Product Designer to partner with Product, Engineering, Data (and Research) to shape strategy, align partner teams, and create a cohesive, high-trust retirement experience across the employer and employee journey. You’ll operate as the design lead for your projects—co-owning priorities, success metrics and driving alignment across Retirement and key partner teams (Payroll, Benefits, Support/Ops). Your scope will include:

• Improving both setup and account management to boost confidence, adoption, and retention to reduce contact rate and confusion.
• Creating a more connected journey between payroll and retirement by designing across the seams of product, operations, and support—where the hardest and most interesting problems live.
• Designing flexible, scalable patterns across Retirement, integrating seamlessly with adjacent payroll and benefits touchpoints. Apply discerning design judgment to determine when and how to effectively incorporate AI to enhance the experience.

If you’re energized by ambiguous problem spaces, high-trust financial experiences, and designing workflows that make complex decisions feel clear and confident—this role is for you.

Here’s what you’ll do day-to-day:

• Strategic Vision & Partnership: Partner with Product Management to define the customer problems to solve, the strategy to solve them, and the measurable outcomes that matter—across activation, engagement, and retention.
• Data and research informed iteration: Collaborate with Data and Research to understand funnel drop-offs, behavior over time, retention drivers as well as define success metrics and iterate based on what you learn.
• Design Leadership & Ownership: Drive the full design process for shipped experiences—scoping and sequencing work, prototyping, testing, and delivering MVP → iteration → longer-term improvements.
• Trust + compliance design: Translate regulatory/tax-driven requirements into clear flows, content, and UI patterns that build trust without overwhelming customers.
• Communication & Storytelling: Craft compelling product narratives that align cross-functional stakeholders around the problem, strategic options, and tradeoffs, clearly explaining the reasoning behind design decisions and outcomes.
• Elevating Craft & Mentorship: Provide thoughtful critique and mentorship to design peers; raise the quality bar across the organization. Be an innovation driver with using and designing for AI.
• System Advocacy & Evolution: Champion the design system and contribute patterns/components that improve cohesion and quality.
• AI-Accelerated Prototyping & Learning: Use AI to move quickly from concept to customer-tested artifact — building clickable, high-fidelity prototypes that generate real signal faster than traditional methods allow. Bring a clear point of view on where AI enhances the customer experience, not just your workflow, and help raise the team's fluency through your example.

Here’s what we're looking for:

We’ve found that a low ego, a growth mindset, and a bias for action go a long way here. 

• 8+ years in product design, with a portfolio showing end-to-end shipped work and the impact it drove
• High bar for craft across interaction design, information architecture, and visual design—especially for complex, form-heavy workflows
• Bonus: Experience in regulated/high-trust domains (fintech, taxes, insurance, healthcare, benefits/retirement)
• Demonstrable AI fluency in your design practice — not just familiarity with tools, but evidence of AI changing how you prototype, test, and ship. We'll ask you to show this, not just describe it.
• Comfort moving between design and code — whether that means shipping UI improvements directly, working closely in the codebase with engineers, or using AI-assisted tools to close the gap between prototype and production.
• Comfortable operating in ambiguity and shaping messy inputs into clear goals, tradeoffs, and shipped outcomes
• Bonus: Comfortable tackling content design aspects (making complex concepts understandable)
• Building strong partnerships with Product, Engineering, and Data to prioritize, execute, and iterate
• Systems thinker who designs solutions that scale beyond one-off screens and hold up across a product ecosystem
• Bonus: Have contributed to growing a Design system with components or patterns
• Bring a clear point of view, engage in constructive feedback, and help teams align quickly by clarifying tradeoffs and driving decisions forward
• Track record leading multi-workstream initiatives across teams—setting direction, unblocking partners, and shipping measurable improvements

At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity based compensation (ownership in Gusto). To learn more about Gusto’s compensation philosophy and benefits offerings please view our Total Rewards Approach page. 

Our cash compensation range for this role is $146,000/yr to $183,000/yr in Denver & most remote locations, and $177,000/yr to $222,000/yr in San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

Small business owners trust Gusto with something fundamental: making sure their people get paid, on time, every time. As a Principal Data Scientist on the Payments team, you'll sit at the intersection of financial infrastructure and data science — translating the complexity of a high-scale payments ecosystem into the insights and models that shape how we build, operate, and improve our payments products. 

In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our payments data to deliver insights and answer questions. You’ll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. 

This is a role for someone who's equally comfortable diving into ledger-level transaction data and standing in front of a payments engineering team to influence architecture decisions. If you want your work to directly protect and improve the financial lives of hundreds of thousands of small businesses, this is the role.

Here’s what you’ll do day-to-day:

• Own payments intelligence end-to-end: Design and maintain measurement frameworks for payment success rates, failure root causes, retry strategies, and settlement timing — becoming the authoritative source of truth for payments health across the org.
• Partner with payments engineering: Embed with backend engineering teams to understand infrastructure constraints and data availability, translate that knowledge into well-scoped experiments, and influence roadmap prioritization with data-backed recommendations.
• Drive experimentation at scale: Design and analyze A/B tests and quasi-experiments across payment flows — including retry logic, routing decisions, and failure recovery — ensuring statistical rigor even in low-conversion, high-variance payment environments.
• Build predictive models: Develop and deploy models for payment failure prediction, risk scoring, and anomaly detection that operate at Gusto's transaction volume, partnering with Machine Learning Engineers and Product Engineers on productionization and monitoring.
• Build AI-native data products: Go beyond using AI to go faster; build data products and automated workflows with AI as a core component. Know what "good" looks like for a clustering model or automated workflow, when to trust the output, when to challenge it, and how to build guardrails that let the team scale AI use responsibly in a regulated financial context.
• Own the business narrative: Be the person payments product and engineering leadership calls before an exec review, not after. Comfortable defending methodology on ARR projections, CX attribution, and cost savings in a room with skeptics. Translate nuanced statistical results and model outputs into clear, actionable narratives for payments engineers, product managers, finance partners, and executive leadership.

Here’s what we're looking for:

• 10+ years of experience in Data Science or a closely related quantitative role at a product-focused software company, with meaningful exposure to payments, fintech, or financial infrastructure.
• Deep payments domain knowledge: Hands-on experience with payments infrastructure: ACH, card networks, bank integrations, settlement flows, or equivalent, with a strong intuition for how backend systems shape data availability and quality.
• Strong SQL and Python skills, with experience querying large-scale transactional datasets and building reproducible analytical pipelines.
• Proven experimentation and causal inference expertise: Ability to design rigorous experiments in challenging payment contexts (rare events, high variance, non-stationarity) and communicate trade-offs clearly.
• AI-native mindset: Has built data products and analytical workflows with AI as a core component, not just used AI to go faster. Knows what "good" looks like for a clustering model or automated workflow, when to trust the output, when to challenge it, and how to build guardrails that scale AI use responsibly in a financial context.
• Cross-functional influence: Track record of collaborating with and influencing backend engineers and technical stakeholders, not just product and business partners.

Our cash compensation amount for this role is targeted at $184,000/yr - $210,000/yr in Denver, and $217,000/yr - $250,000 for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

ABOUT THIS OPPORTUNITY

Hunt is onX’s most complex vertical, serving a diverse set of customers across public and private land use cases. As the product evolves, we’re focused on improving the end-to-end Hunt experience—driving deeper engagement, retention, and long-term value.

We’re hiring a Senior Product Manager to help shape and drive this next phase. Reporting to the Group Product Director of Hunt, you’ll define meaningful problems, lead discovery, and drive solutions from concept through launch.

This is a hands-on, builder-oriented role. You’ll move between insight and execution—getting close to customers, turning ambiguity into clear priorities, and driving work forward to shipped outcomes. You’ll partner closely with product leadership to shape direction while owning execution within your domain.

You’ll operate in a matrixed product organization, working across Hunt and shared platform teams (e.g., Navigation, Offline Maps) to ensure solutions meet Hunt customer needs while scaling across verticals.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• Shape and execute product strategy through hands-on discovery, customer insight, and problem framing
• Own a product area end-to-end—from problem definition through delivery and iteration
• Drive measurable outcomes (engagement, retention, adoption) and use data to inform prioritization
• Translate ambiguous opportunities into clear plans, aligned teams, and shipped product
• Partner cross-functionally across engineering, design, marketing, and platform teams
• Influence shared platform capabilities to scale across verticals while advocating for Hunt-specific needs
• Use AI and data to accelerate discovery, decision-making, and product development
• Drive experimentation, including defining success metrics, running tests, and learning from results
• Communicate clearly with stakeholders and leadership on priorities, progress, and impact

Note: This is a condensed overview for job posting purposes. A more detailed description of the role and responsibilities will be shared with candidates who move forward in the interview process.

WHAT YOU’LL BRING

• 7+ years of progressive product management experience delivering consumer-facing mobile software, with a demonstrated track record of owning and delivering end-to-end product outcomes that measurably improved engagement, retention, or conversion. 
• Bachelor's degree in a related field or equivalent experience
• Deep fluency in mobile-first product ecosystems, with hands-on experience managing the full lifecycle of iOS and/or Android consumer applications.
• Proven ability to drive outcomes through influence in complex, cross-functional environments, including matrix organizations, aligning engineering, design, marketing, and leadership around a shared product direction without direct authority.
• Experience defining and operationalizing product success metrics, including user segmentation, cohort analysis, funnel optimization, and growth levers, with a track record of using those metrics to inform prioritization and drive execution. 
• Demonstrated experience using AI tools to accelerate product discovery, improve decision quality, and enhance product development workflows, with evidence of applying AI beyond basic or surface-level use.
• Experience taking products or features from inception through maturity, including navigating the ambiguity of early-stage definition and the driving execution to scale what works..
• Proven ability to translate complex, multi-stakeholder problems into clear product decisions, and drive those decisions through execution, with the communication skills to bring executives, technical partners, and cross-functional teams along.
• Strong command of agile development practices, with experience working in continuous delivery environments and iterating rapidly based on data and customer feedback.
• Experience operating in ambiguous problem spaces, creating clarity, and driving momentum without fully defined requirements or direction.
• Genuine curiosity about and connection to the onX Hunt customer, whether through lived experience as an outdoor enthusiast or a demonstrated ability to deeply immerse in and advocate for a specific customer community.
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.
• Ability to travel monthly or quarterly, depending on location, for multi-day visits to a corporate office or other onX locations (e.g., Basecamps).

ADDED BONUSES

Though not required, we would be thrilled to consider candidates with any of the following:

• Experience working on products that serve multiple distinct customer segments within a single product ecosystem, where shared experiences had to work well for different types of users without feeling generic to any of them
• Experience owning information architecture, navigation design, or onboarding flows in a consumer mobile app, particularly where the challenge was helping users discover and adopt a deep feature set
• Experience driving measurable improvements in feature adoption, activation, or engagement depth, and a clear point of view on what actually moves those metrics versus what just looks good on a roadmap
• Experience partnering with multiple product lines and platform teams to ship scalable and cohesive end-to-end experiences, especially in environments where influence mattered more than direct ownership
• Experience in 0→1 or 1→n product evolution, especially where the problem space was not fully defined upfront
• Experience working in high-growth or rapidly evolving product environments

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership—they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $143,000 to $179,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Position open until filled. 

#LI-Remote

Position Overview:

As the Director of Monetization Strategy, you will be the primary architect of Iterable’s economic engine. You aren't just managing a price list; you are defining how we capture value in a rapidly evolving MarTech ecosystem. You will sit at the intersection of Product, Sales, Finance, and Marketing to design and execute pricing and packaging strategies that drive sustainable growth, expand Net Revenue Retention (NRR), and align our success with our customers' success.

Responsibilities:

• • Strategic Vision: Lead the long-term monetization roadmap. You’ll evolve our current models from usage-based pricing toward value-based frameworks that reflect the power of our AI-driven orchestration.
  • Cross-Functional Leadership: Act as the "connective tissue" between Product (to price new features, and ensure our roadmap is optimized for capturing value), Marketing (to position value), and Sales (to ensure deal velocity).
  • Market Intelligence: Conduct deep-dive competitive analysis and buyer research to identify gaps in our current monetization strategy and capitalize on emerging market trends.
  • Packaging & Tiering: Design and optimize product bundles and editions that simplify the buying process for mid-market and enterprise customers alike.
  • Operational Excellence: Partner with RevOps to implement pricing changes within our systems (CPQ, billing) and develop the discounting frameworks and "guardrails" for the field.
  • Change Management: Lead the internal enablement for global sales teams, ensuring they can confidently articulate the "why" behind our pricing.

Qualifications:

• You have 10+ years of experience in SaaS monetization, management consulting, or strategic finance. You think in systems and understand the downstream impacts of a single pricing lever.
• You have direct experience in SaaS monetization, with a particular focus on monetizing AI
• You are comfortable navigating complex datasets to find the "signal" in the noise. You use data to prove your hypotheses about price elasticity and expansion paths.
• You can distill complex economic theories into simple, persuasive narratives for the Executive Leadership Team (ELT).
• You don't just want a seat at the table; you want to build the table. You enjoy creating processes where none existed.

Bonus Points

• Experience building and productionizing LLM based, agentic or autonomous systems that handle complex orchestration and evaluation.
• Experience establishing shared AI platforms or internal developer enablement capabilities
• Familiarity with analytics systems, experimentation workflows, or decisioning frameworks

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $172,000 - $260,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

What You’ll Do, as our Manager, Paid Search

Support MERGE's practice in creating, optimizing, and executing best-in-class client paid search campaigns. As a hands-on Paid Search Media Manager, you will provide the strategic direction for keyword research, campaign building, and testing roadmaps. We are looking for a curious, data-driven marketer who understands the evolving AI landscape and can proactively identify opportunities to improve performance and goals delivery. You will bring passion and strong interpersonal skills to drive success, ensuring every dollar spent contributes to client growth.

Campaign Creation & Launch

• Campaign Ownership: You will act as a Paid Search subject matter expert, fostering accounts growth while ensuring that output meets agency standards.
• Structure & Creation: Build and launch (or guide executional-focused team members on what is needed) comprehensive campaigns across search, Performance Max, Demand Gen and more, ensuring best-practice account structure, compelling ad copy, tailored keyword lists, and client-specific targeting strategies.
• QA & Oversight: Lead the Quality Assurance (QA) process for all trafficked plans (keywords, ad copy, extensions) and launch components (dayparting, bids, budgets, targeting).
• Collaboration: Act as the primary Paid Search liaison for the broader media strategy teams, ensuring search is integrated seamlessly into the holistic media mix.

Strategy, Execution & AI

• Strategy & Discovery: Lead the client discovery process to establish PPC objectives and develop the strategy for tactic, budget, goals, etc. Provide thoughtful leadership to ensure these goals are met.
• Campaign Architecture: Develop and recommend keyword lists, targeting strategies, and testing plans (e.g., ad copy A/B testing, landing page reviews).
• AI Landscape: Apply a working knowledge of the current AI landscape (e.g., Performance Max, Broad Match/Smart Bidding, Generative AI) to keep client accounts modernized and efficient.
• Platform Mastery: Work closely with media partners (Google, Microsoft) to implement best practices across Search, PMax, Demand Gen, Video, and Call campaigns.

Analytics, Reporting & Financials

• Budgeting: Accurately forecast and pace monthly budgets to ensure spending aligns with client targets and is the most optimal use of funds aligning with goals.
• Performance Analysis: Monitor daily and analyze program KPIs (ROAS, CTR, CPA, CVR) to drive continuous improvement.
• Optimization Roadmap & AB Testing: Develop a comprehensive, long-term optimization roadmap for the account, utilizing a data driven, test-and-learn approach.
• Client Reporting: Provide in-depth reporting on program performance. You will lead client status calls, presenting insights and strategic recommendations.
• Tracking & Tech: Ensure analytics tracking implementation is accurate, robust, and easy to manage.
• Auditing: Conduct deep-dive PPC audits to identify structural weaknesses in legacy accounts and uncover new opportunities.

What You’ll Bring

• Education: Bachelor’s degree in Marketing, Communications, Advertising, and/or equivalent work experience.
• Experience: 3 to 5 years of professional paid search campaign management experience.
• Industry Focus: Healthcare, Health Insurance or pharma lead generation experience is a strong plus.
• Platform Depth: Deep knowledge of all Google and Microsoft advertising products (Search, PMax, AI Max, Demand Gen, Video, etc.).
• Data-driven decision-maker who relies on evidence and performance metrics to guide strategy.
• Learning Mentality: A desire to keep learning and being informed on everything search, digital & AI
• Communication: Excellent written, verbal, and presentation skills. You must be able to explain complex search data to clients clearly.
• Critical Thinking: A problem-solving orientation with the ability to think critically about business goals.

At MERGE, we’re committed to fostering an environment where our team members can thrive in both their careers and personal lives, ensuring they feel supported and empowered to succeed.

MERGE believes in transparency and equity. In accordance with state regulations, we’re proud to include salary ranges in our job postings to ensure fair compensation practices.

The salary range for this role is $78,000 - $114,000, based on the individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.  

MERGE is proud to invest in benefits that include meaningful Medical, Dental, Vision, Life Insurance, 401K, Lifestyle Spending Account, Employer Paid Life & Disability Insurance, Flexible Time off & Holidays plus many other benefits and rewards.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

#LI-DP1

#LI-REMOTE

ABOUT THIS OPPORTUNITY

onX is seeking a 6-month fixed-term Product Designer who will contribute to meaningful, real-world outcomes that have a lasting impact for customers and the business. In this role, you’ll focus on design iterations and variations to Hunt’s and Offroad’s newest onboarding flows as part of the Growth team, supporting the team’s primary goal of increasing conversion by helping new users find value in the product. You’ll take ownership of your work, collaborate closely with partners across the organization, and help move initiatives forward in an environment where priorities evolve, learning is celebrated, and you’re encouraged to keep stretching your skills. This role will report to the Head of Product Design and User Research.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• Collaborative design work alongside the team’s PM and engineers
• Translate ideas and hypotheses into conceptual designs and prototypes
• Refinement of conceptual designs into full-system ready-for-dev designs
• Present designs to the team, fellow Product Designers, and potentially stakeholders across the organization
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

ASSIGNMENT DETAILS

• Duration: This fixed-term position is expected to start immediately and last approximately 6 months. 
• Weekly Hours: We anticipate this role will work 40 hours weekly.
• Assignment Completion Bonus: Upon the successful completion of your full assignment, this position is eligible for an assignment completion bonus at the end of the contract.

WHAT YOU’LL BRING

• Bachelor’s degree in Human-Computer Interaction / UX  or equivalent experience 
• Four (4) or more years of experience designing onboarding, signup, purchase, or educational flows
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values
• Permanent US work authorization is a condition of employment with onX
• This position requires that a portfolio of work samples be submitted for consideration  

ADDED BONUSES

Though not required, we would be thrilled to consider candidates with any of the following:

• Content design or UX copywriting expertise
• Graphic or illustration design experience
• Experience working with or on marketing or brand teams
• Experience establishing UX patterns, principles, or frameworks that influence how other teams design
• A clear and practical perspective on what makes AI-powered experiences feel trustworthy, transparent, or poorly executed

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

 onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $119,000 and $140,000 annually upon hire. The pay range will vary based on experience, skills, certifications, education, and other factors as required in the job description. 

WHAT WE'RE OFFERING YOU

Even though this is a fixed-term position, you’ll still enjoy a range of valuable benefits:

• Competitive pay
• Assignment Completion Bonus – Earn a bonus at the end of your contract when you successfully complete the full assignment.
• Medical coverage – Including a $0 monthly premium option.
• 401(k) match – 100% match on the first 3% you contribute, and 50% on the next 2%.
• Paid time off – Because everyone needs time to recharge.
• Outdoor perks – Get access to epic company-wide outdoor adventures and industry discounts.

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Position open until filled. 

#LI-Remote

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We want people who are passionate about helping our customers and partners realize the benefits of DigitalOcean’s cloud infrastructure.

DigitalOcean is at a pivotal moment where the intersection of high-performance hardware and cloud accessibility is defining the next decade of innovation. We aren’t just building a cloud; we are building a gateway for the next generation of startups to harness the power of AI and intensive computing. This is your chance to be the architect of our most strategic alliances, sitting at the heart of the Silicon Valley ecosystem to bridge the gap between world-class silicon providers and the builders who use them.

We are looking for a Strategic Relationship Builder to act as our primary envoy to the world’s leading AI-focused System Integrators (SIs) aligned with mid-market and AI Native companies. Reporting to the VP, Channel Partnerships, you will be the lead navigator in embedding DigitalOcean into strategic partnership programs. Your mission is to ensure that as the world scales its data center needs, DigitalOcean is the partner of choice.

What You’ll Do

• Architect strategic alliances with key system integrators, MSPs and resellers partners to ensure DigitalOcean is deeply integrated into their go-to-market ecosystems.
• Navigate complex organizational structures within partner companies to identify and influence the right decision-makers for long-term program placement.
• Translate high-level cloud infrastructure trends into actionable partnership strategies that solve real-world data center and scalability challenges.
• Lead cross-functional workstreams between internal product teams and external partner organizations to deliver co-branded value and technical synergy.
• Drive the execution of partnership milestones by breaking down multi-quarter goals into clear, actionable deliverables that provide mutual value to all stakeholders.
• Collaborate with senior leadership to provide insights on industry trends, ensuring our partnership roadmap stays ahead of market shifts in the data center space.
• Mentor peers and internal teams on partnership best practices, fostering a culture of collaborative excellence across the organization.

What You’ll Add to DigitalOcean

• Technical Breadth: You bring a deep understanding of the cloud and infrastructure industry, specifically regarding data center operations. You have a proven track record of building and managing partnerships with strategic System Integrators, MSPs and Resellers partners.
• The "Human" Element: You are an expert in Relational Intelligence—you can speak the language of engineers and executives alike, building trust and psychological safety across organizational boundaries.
• Growth Mindset: You possess a natural desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude that thrives in a high-performance environment.

Compensation Range: 

• Base $136,000 - $170,000 / OTE target $180,000 - $226,000

*This is a remote role

JR: 2026-7632

#LI-Remote

We are looking for a Strategic Technical Account Manager who is passionate about making an impact, builds genuine relationships with senior stakeholders, and understands how to integrate infrastructure choices into business strategy.

As a Strategic Technical Account Manager (TAM) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. 

What You’ll Do:

Strategic Relationship Management

• Own the technical relationship with DigitalOcean’s highest-value customers, including Fortune 500 companies and global technology leaders.
• Serve as the trusted technical advisor and executive-facing point of contact, building deep, lasting relationships with VP- and SVP-level stakeholders.
• Drive regular technical and strategic alignment sessions (QBRs, EBRs), proactively shaping the customer’s roadmap to maximize the value of DigitalOcean infrastructure.
• Operate as a thought partner, challenging customers to modernize, optimize, and scale AI/ML and GPU workloads using cutting-edge cloud architecture patterns.

Executive Presence & Influence

• Engage with C-level and VP-level contacts with confidence, clarity, and authority.
• Deliver high-impact, boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities.
• Navigate complex org structures, ensuring DigitalOcean maintains executive alignment and account control at every level.

Technical Consultation & Innovation Support

• Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean.
• Assist customers with architectural planning, workload migration, performance tuning, and incident response.
• Collaborate directly with engineering and product teams to address customer roadblocks and influence the product roadmap based on enterprise needs.

Growth, Retention & Advocacy

• Own technical success across a portfolio of DigitalOcean’s largest and most strategic accounts.
• Identify opportunities for workload expansion, cost optimization, and operational efficiency.
• Act as the voice of the customer, providing structured feedback to influence DigitalOcean's offerings and go-to-market strategies.
  Lead cross-functional account planning with Account Management, Product, and Engineering.

What You’ll Add to DigitalOcean:

Enterprise Customer Experience

• 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent).
• Experience working with large-scale organizations like AMD, Intel, or similar, including managing executive-level relationships and navigating matrixed stakeholders.
• Deep understanding of cloud architecture for AI/ML, including GPU orchestration, inference/training pipelines, and model deployment.

Technical Depth

• Proficient in at least one major cloud platform (AWS, GCP, Azure) and familiar with DigitalOcean or other developer-focused platforms.
• Strong hands-on skills with Linux systems, networking, containers (Docker/Kubernetes), and automation (Terraform, Ansible).
  Programming/scripting in Python, Go, or similar—especially relevant to AI/ML and MLOps use cases.
• Understanding of AI/ML infrastructure stacks: PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton, etc.
• Understanding of AI/ML infrastructure, including frameworks like PyTorch, TensorFlow, and ONNX, with hands-on experience optimizing GPU workloads on both NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms.
• Comfort with modern DevOps and data stack tools (CI/CD, GitOps, observability, pipelines).

Executive Presence & Communication

• Proven ability to engage with and influence executive decision-makers.
• Exceptional communication skills, including the ability to translate complex technical topics into strategic business impact.
• Comfortable presenting to large audiences, running technical workshops, and defending architectural decisions.

Bonus Points

• Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
• Experience with high-performance computing, edge AI, or hybrid/multicloud strategies.
• Background in startup or high-growth environments where agility and influence matter.
• Familiarity with DigitalOcean’s developer ecosystem, API, and service portfolio.

Compensation Range: 

• $174,240 - $217,800

*This is a remote role

#LI-Remote

We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.

As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.

In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.

What You’ll Do

• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
• Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
• Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
• Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
• Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
• Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.

What You’ll Add to DigitalOcean

• 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
• Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
• Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
• A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
• Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
• Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience

Compensation Range: 

• $186,000 - $233,000

*This is a remote role

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

We are looking for an entry-level hardware technologist with experience testing and deploying firmware to server hardware at scale. Reporting to the Manager of Infra::Machines::Design, the Firmware Qualification Engineer will qualify and deploy firmware packages across DigitalOcean products and components and join a team of engineers who have already paved the way for the many tens of thousands of servers in our infrastructure. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and explore new technologies to bring to our customers.

What You’ll Be Doing:

• Work with vendors and internal peer teams on qualifying, onboarding, and delivering new firmware to the DigitalOcean ecosystem
• Act as Tier 3 escalation on-call for triage, investigation, and resolution of system firmware issues in the DigitalOcean fleet (both customer-facing and internal)
• Participate in 24/7 on-call rotation with other members of the teamImprove existing firmware and hardware configuration automation/validation, for both hardware platforms and components (such as NIC, Storage and BMC)
• Engage with hardware vendors about new automation features and existing bugsHelp with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alertingAssist in troubleshooting causes of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Strong understanding of x86 server hardware architecture and subsystems.
• Ideally, you’ve worked with non-x86 hardware too!Demonstrated professional proficiency in configuration management best-practices (we use Ansible and Chef)
• Experience automating server firmware components at large-scale using industry-standard tooling (Redfish, IPMI, etc) including a deep understanding of benchmarking, automating test frameworks, and process automation in general
• Practical knowledge of PXE boot, UEFI, Linux/OS boot, AMI/OEM BIOS distributions, OpenBMC/AMI/OEM BMC implementations, RAID and other storage resiliency technologies, and the full Network stack- from NIC firmware to TCP/IPAdept at Linux (or Unix) operating systems. You’ll be spending a lot of time working in one!
• Comfortable with version control systems (we use Git) and proficient in at least one programming language (such as Python or Go) Ability to participate in 24/7 on-call rotation with other members of the team
• Excellent communication skills, both within the team and with the broader company
• Have an insatiable passion for hardware, both new and old 

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7606

#LI-Remote

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

We are seeking a Global Lease Sr. Analyst that is strategic and detail oriented to oversee the leasing lifecycle of infrastructure equipment across our global cloud platform. The ideal candidate will have experience managing and leasing data center equipment, expertise in negotiating with vendors along with deep knowledge of underlying financial and operational processes.

What You’ll Do:

• Develop and execute leasing strategies aligned with infrastructure growth planLead the end-to-end equipment leasing program and strategy, including the decision framework for buy vs. lease and the selection of third-party capital partners.
• Act as the main contact for financing partners, track financing terms across lenders (rates, fees, covenants), support negotiations for new leases and refinancing, compare financing options and recommend the lowest-cost structure.
• Manage all facets of the lease portfolio, including maintaining a centralized register, tracking key financial terms (principal, interest, payment schedules, maturity), and monitoring for variances and refinancing needs.
• Coordinate and liaise equipment needs / orders between the Infrastructure, Engineering, Procurement teams and the appropriate capital partner throughout the procurement process.
• Coordinate the operational execution of new leases, including required documentation, timing, validating lease contracts against vendor invoices and funding with financing partners and internal teams.
• Provide financial forecasting support including producing monthly/quarterly lease schedules, forward-looking cash flow projections, delivering structured inputs for budgeting and long-range planning and ad-hoc analysis.
• Establish and maintain processes, including standard templates for tracking and creating clear workflows for new lease intake, contract approval, payment tracking, and handoff to accounting teams.
• Serve as the primary liaison and escalation point for all internal and external program stakeholders, including financing partners, Infrastructure, Legal, and Accounting teams.

What You’ll Add to DigitalOcean: 

• Bachelor's degree in a business, technical, or analytical field (e.g., Business Administration or Economics).
• Experience in financial modeling and forecasting and familiarity with accounting and finance concepts, such as cash flow management.
• Proven experience managing and leasing data center equipment, demonstrating deep knowledge of underlying financial and operational processes.
• Strong organizational, negotiation, and analytical skills to manage a large portfolio of leases, track detailed financial terms, and support lender negotiations.
• Strong communication skills and ability to communicate effectively with capital partners, senior leadership and other program stakeholders.
• We recognize that talent comes in many forms. If you’re excited about this role but your past experience doesn’t align perfectly with every qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Compensation Range: 

• $93,600.00 - $125,000.00

*This is a remote role

JR: 2026-7691

#LI-Remote

We are seeking a Global Lease Sr. Analyst that is strategic and detail oriented to oversee the leasing lifecycle of infrastructure equipment across our global cloud platform. The ideal candidate will have experience managing and leasing data center equipment, expertise in negotiating with vendors along with deep knowledge of underlying financial and operational processes.

What You’ll Do:

• Develop and execute leasing strategies aligned with infrastructure growth planLead the end-to-end equipment leasing program and strategy, including the decision framework for buy vs. lease and the selection of third-party capital partners.
• Act as the main contact for financing partners, track financing terms across lenders (rates, fees, covenants), support negotiations for new leases and refinancing, compare financing options and recommend the lowest-cost structure.
• Manage all facets of the lease portfolio, including maintaining a centralized register, tracking key financial terms (principal, interest, payment schedules, maturity), and monitoring for variances and refinancing needs.
• Coordinate and liaise equipment needs / orders between the Infrastructure, Engineering, Procurement teams and the appropriate capital partner throughout the procurement process.
• Coordinate the operational execution of new leases, including required documentation, timing, validating lease contracts against vendor invoices and funding with financing partners and internal teams.
• Provide financial forecasting support including producing monthly/quarterly lease schedules, forward-looking cash flow projections, delivering structured inputs for budgeting and long-range planning and ad-hoc analysis.
• Establish and maintain processes, including standard templates for tracking and creating clear workflows for new lease intake, contract approval, payment tracking, and handoff to accounting teams.
• Serve as the primary liaison and escalation point for all internal and external program stakeholders, including financing partners, Infrastructure, Legal, and Accounting teams.

What You’ll Add to DigitalOcean: 

• Bachelor's degree in a business, technical, or analytical field (e.g., Business Administration or Economics).
• Experience in financial modeling and forecasting and familiarity with accounting and finance concepts, such as cash flow management.
• Proven experience managing and leasing data center equipment, demonstrating deep knowledge of underlying financial and operational processes.
• Strong organizational, negotiation, and analytical skills to manage a large portfolio of leases, track detailed financial terms, and support lender negotiations.
• Strong communication skills and ability to communicate effectively with capital partners, senior leadership and other program stakeholders.
• We recognize that talent comes in many forms. If you’re excited about this role but your past experience doesn’t align perfectly with every qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Compensation Range: 

• $93,600.00 - $125,000.00

*This is a remote role

JR: 2026-7691

#LI-Remote

We are seeking a Global Lease Sr. Analyst that is strategic and detail oriented to oversee the leasing lifecycle of infrastructure equipment across our global cloud platform. The ideal candidate will have experience managing and leasing data center equipment, expertise in negotiating with vendors along with deep knowledge of underlying financial and operational processes.

What You’ll Do:

• Develop and execute leasing strategies aligned with infrastructure growth planLead the end-to-end equipment leasing program and strategy, including the decision framework for buy vs. lease and the selection of third-party capital partners.
• Act as the main contact for financing partners, track financing terms across lenders (rates, fees, covenants), support negotiations for new leases and refinancing, compare financing options and recommend the lowest-cost structure.
• Manage all facets of the lease portfolio, including maintaining a centralized register, tracking key financial terms (principal, interest, payment schedules, maturity), and monitoring for variances and refinancing needs.
• Coordinate and liaise equipment needs / orders between the Infrastructure, Engineering, Procurement teams and the appropriate capital partner throughout the procurement process.
• Coordinate the operational execution of new leases, including required documentation, timing, validating lease contracts against vendor invoices and funding with financing partners and internal teams.
• Provide financial forecasting support including producing monthly/quarterly lease schedules, forward-looking cash flow projections, delivering structured inputs for budgeting and long-range planning and ad-hoc analysis.
• Establish and maintain processes, including standard templates for tracking and creating clear workflows for new lease intake, contract approval, payment tracking, and handoff to accounting teams.
• Serve as the primary liaison and escalation point for all internal and external program stakeholders, including financing partners, Infrastructure, Legal, and Accounting teams.

What You’ll Add to DigitalOcean: 

• Bachelor's degree in a business, technical, or analytical field (e.g., Business Administration or Economics).
• Experience in financial modeling and forecasting and familiarity with accounting and finance concepts, such as cash flow management.
• Proven experience managing and leasing data center equipment, demonstrating deep knowledge of underlying financial and operational processes.
• Strong organizational, negotiation, and analytical skills to manage a large portfolio of leases, track detailed financial terms, and support lender negotiations.
• Strong communication skills and ability to communicate effectively with capital partners, senior leadership and other program stakeholders.
• We recognize that talent comes in many forms. If you’re excited about this role but your past experience doesn’t align perfectly with every qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Compensation Range: 

• 93,600.00 - $125,000.00

*This is a remote role

JR: 2026-7691

#LI-Remote

We are seeking a Global Lease Sr. Analyst that is strategic and detail oriented to oversee the leasing lifecycle of infrastructure equipment across our global cloud platform. The ideal candidate will have experience managing and leasing data center equipment, expertise in negotiating with vendors along with deep knowledge of underlying financial and operational processes.

What You’ll Do:

• Develop and execute leasing strategies aligned with infrastructure growth planLead the end-to-end equipment leasing program and strategy, including the decision framework for buy vs. lease and the selection of third-party capital partners.
• Act as the main contact for financing partners, track financing terms across lenders (rates, fees, covenants), support negotiations for new leases and refinancing, compare financing options and recommend the lowest-cost structure.
• Manage all facets of the lease portfolio, including maintaining a centralized register, tracking key financial terms (principal, interest, payment schedules, maturity), and monitoring for variances and refinancing needs.
• Coordinate and liaise equipment needs / orders between the Infrastructure, Engineering, Procurement teams and the appropriate capital partner throughout the procurement process.
• Coordinate the operational execution of new leases, including required documentation, timing, validating lease contracts against vendor invoices and funding with financing partners and internal teams.
• Provide financial forecasting support including producing monthly/quarterly lease schedules, forward-looking cash flow projections, delivering structured inputs for budgeting and long-range planning and ad-hoc analysis.
• Establish and maintain processes, including standard templates for tracking and creating clear workflows for new lease intake, contract approval, payment tracking, and handoff to accounting teams.
• Serve as the primary liaison and escalation point for all internal and external program stakeholders, including financing partners, Infrastructure, Legal, and Accounting teams.

What You’ll Add to DigitalOcean: 

• Bachelor's degree in a business, technical, or analytical field (e.g., Business Administration or Economics).
• Experience in financial modeling and forecasting and familiarity with accounting and finance concepts, such as cash flow management.
• Proven experience managing and leasing data center equipment, demonstrating deep knowledge of underlying financial and operational processes.
• Strong organizational, negotiation, and analytical skills to manage a large portfolio of leases, track detailed financial terms, and support lender negotiations.
• Strong communication skills and ability to communicate effectively with capital partners, senior leadership and other program stakeholders.
• We recognize that talent comes in many forms. If you’re excited about this role but your past experience doesn’t align perfectly with every qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Compensation Range: 

• $93,600.00 - $125,000.00

*This is a remote role

JR: 2026-7691

#LI-Remote

We are seeking a Global Lease Sr. Analyst that is strategic and detail oriented to oversee the leasing lifecycle of infrastructure equipment across our global cloud platform. The ideal candidate will have experience managing and leasing data center equipment, expertise in negotiating with vendors along with deep knowledge of underlying financial and operational processes.

What You’ll Do:

• Develop and execute leasing strategies aligned with infrastructure growth planLead the end-to-end equipment leasing program and strategy, including the decision framework for buy vs. lease and the selection of third-party capital partners.
• Act as the main contact for financing partners, track financing terms across lenders (rates, fees, covenants), support negotiations for new leases and refinancing, compare financing options and recommend the lowest-cost structure.
• Manage all facets of the lease portfolio, including maintaining a centralized register, tracking key financial terms (principal, interest, payment schedules, maturity), and monitoring for variances and refinancing needs.
• Coordinate and liaise equipment needs / orders between the Infrastructure, Engineering, Procurement teams and the appropriate capital partner throughout the procurement process.
• Coordinate the operational execution of new leases, including required documentation, timing, validating lease contracts against vendor invoices and funding with financing partners and internal teams.
• Provide financial forecasting support including producing monthly/quarterly lease schedules, forward-looking cash flow projections, delivering structured inputs for budgeting and long-range planning and ad-hoc analysis.
• Establish and maintain processes, including standard templates for tracking and creating clear workflows for new lease intake, contract approval, payment tracking, and handoff to accounting teams.
• Serve as the primary liaison and escalation point for all internal and external program stakeholders, including financing partners, Infrastructure, Legal, and Accounting teams.

What You’ll Add to DigitalOcean: 

• Bachelor's degree in a business, technical, or analytical field (e.g., Business Administration or Economics).
• Experience in financial modeling and forecasting and familiarity with accounting and finance concepts, such as cash flow management.
• Proven experience managing and leasing data center equipment, demonstrating deep knowledge of underlying financial and operational processes.
• Strong organizational, negotiation, and analytical skills to manage a large portfolio of leases, track detailed financial terms, and support lender negotiations.
• Strong communication skills and ability to communicate effectively with capital partners, senior leadership and other program stakeholders.
• We recognize that talent comes in many forms. If you’re excited about this role but your past experience doesn’t align perfectly with every qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Compensation Range: 

• $93,600.00 - $125,000.00

*This is a remote role

JR: 2026-7691

#LI-Remote

We are seeking a Senior Software Engineer (IC3) to join our Customer Trust & Engineering team working on Identity and Access Management. IAM is the bedrock of trust at DigitalOcean; our services sit in the critical path of every request, authorizing billions of transactions per second with single-digit millisecond latency.

In this role, you won't just maintain existing systems—you will architect the next generation of our Identity platform. You will be instrumental in supporting our AI initiatives, building seamless SSO integrations for global partners, and evolving our policy engine to support complex, agentic workflows. If you are passionate about distributed systems, security-first engineering, and building at hyperscale, this is the team for you.

What You’ll Do

• Architect for Scale: Design and develop high-availability, low-latency authentication and authorization services in Go that scale to handle massive load spikes across global regions.
• Drive Next-Gen Innovation: Build the IAM foundations for emerging cloud-native AI/ML platforms, designing secure token exchange patterns and identity context injection for agentic AI workflows.
• Modernize Identity: Lead the implementation of OIDC and SAML integrations, enabling seamless federated Single Sign-On (SSO) for enterprise customers and strategic global partners.
• Solve Complex AuthZ: Evolve our Policy Engine (using industry standards like Rego/OPA) to support advanced resource-level permissions, dynamic scoping, and network-aware access conditions.
• Evolve Identity Models: Design and scale robust, multi-tenant data models to manage complex hierarchical structures (users, teams, organizations, and resource boundaries) that map to enterprise customer needs.
• Operational Excellence: Take ownership of service reliability, from fine-tuning Kubernetes deployments to migrating legacy data pipelines to modern eventing architectures.
• Security First: Proactively identify and remediate complex security vulnerabilities, ensuring our auth flows are resilient against credential stuffing, session hijacking, and configuration theft.
• Mentor & Lead: Act as a technical lead for major workstreams, conducting deep code reviews and mentoring junior engineers in distributed systems best practices.

What You’ll Add to DigitalOcean

• Experience: 5+ years of software engineering experience, with at least 2+ years focused on Identity (AuthN/AuthZ), Security Products, or high-scale Distributed Systems.
• Language Expert: Expert-level proficiency in Go and a strong understanding of gRPC microservices architecture.
• Identity Specialist: Deep knowledge of identity protocols (OIDC, OAuth2, SAML) and access control models (RBAC, ABAC, PBAC).
• Distributed Systems Guru: Proven ability to build systems that handle consensus, replication, and partitioning at cloud scale.
• Cloud Native: Working experience with container orchestration (Kubernetes), SQL (MySQL), and Infrastructure as Code (Terraform).
• Problem Solver: A track record of "unwinding" complex legacy logic into clean, maintainable abstractions.
• Communication: Ability to communicate technical strategy to senior leadership and collaborate across teams (Inference, Billing, DOKS).

Nice to Have

• Experience with Open Policy Agent (OPA) and Rego.
• Familiarity with Cloud-native deployment strategies (Canary/Blue-Green) via kubernetes.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role

JR: 2026-7665

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are seeking a Solutions Architect II with deep expertise in Kubernetes migrations and cloud infrastructure to drive the success and retention of DigitalOcean’s high-value customers while also acquiring and onboarding net new customers. Reporting to the Manager of Solutions Architecture, you will play a critical role in leading customers through Kubernetes migrations and cloud-native transformations, helping them achieve their business objectives while expanding their use of DigitalOcean’s platform.

In this role, you will partner with Customer Success, Support, and Sales teams to deliver technical excellence that supports the retention and expansion of our largest and fastest-growing customers, as well as onboarding new businesses seeking modern, scalable solutions. As the technical subject matter expert, you will design, implement, and optimize cloud architectures, guide customers on best practices, and deliver solutions tailored to their needs.

Additionally, you will collaborate across functions—Product, Engineering, and Operations—to ensure customer feedback informs the continuous improvement of DigitalOcean’s products and services. Your insights and leadership will be instrumental in building trust with both existing customers and new prospects, showcasing DigitalOcean as their go-to partner for Kubernetes and cloud infrastructure needs.

This role offers an exciting opportunity to combine your technical depth, communication skills, and entrepreneurial mindset to make a significant impact on DigitalOcean’s growth and success.

What You Will Be Doing: 

As a Staff Solutions Architect specializing in Kubernetes, you will be a hands-on technical leader responsible for guiding customers through complex Kubernetes migration projects. Leveraging deep expertise in migrations and the Kubernetes ecosystem, you will play a pivotal role in designing, implementing, and optimizing cloud-native solutions for customers. Collaborating closely with customer success teams, engineering, and other stakeholders, your efforts will directly contribute to workload expansion, customer retention, and the adoption of modern cloud practices.

• Lead hands-on Kubernetes migration projects, ensuring seamless transitions of workloads to Kubernetes environments.
• Analyze customers’ existing infrastructure and applications to design robust migration strategies.
• Implement Kubernetes architectures, taking ownership of the technical execution throughout the migration lifecycle.
• Troubleshoot and resolve complex migration challenges, ensuring minimal downtime and optimal performance.
• Deep expertise in Kubernetes, container orchestration, and the cloud-native ecosystem.
• Software engineering experience 7 years+
• Design, plan, and review Kubernetes migration and modernization strategies tailored to specific use cases.
• Build detailed infrastructure diagrams and explain architectural decisions clearly to technical and non-technical audiences.
• Partner with Technical Customer Success Managers and Account Managers to identify customer needs, define success plans, and ensure smooth migrations.
• Conduct hands-on technical workshops, proof of concepts, and demonstrations showcasing Kubernetes migration processes and cloud-native solutions.
• Offer tailored onboarding and migration assistance to guide customers through technical blockers and adoption challenges.
• Act as a trusted advisor, helping customers navigate technical complexities and adopt Kubernetes best practices.
• Collaborate with engineering and support teams to resolve technical escalations during migrations.
• Advocate for customer feedback to inform the development of new Kubernetes-related features and platform enhancements.

What We'll Expect From You:

• Extensive professional experience in cloud infrastructure, Kubernetes, and migration projects, or equivalent education.
• Deep understanding of Kubernetes architecture, container orchestration, and related cloud-native technologies.
• Strong foundational knowledge of Linux, distributed systems, and their application in cloud environments.
• Proven programming and scripting experience to support automation and migration processes.
• Prior experience in a pre-sales, technical consulting, or customer-facing role, with a focus on solving complex technical challenges.
• Passionate about delivering exceptional customer experiences and fostering customer success.
• Demonstrated track record of developing effective technical solutions to address customer business challenges.
• Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to diverse audiences.
• Highly motivated, with a proactive mindset and the ability to work independently and collaboratively.
• Relevant certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).
• Proficiency in IaC tools like Terraform, Helm, or Ansible, and experience automating complex deployments.

Extra Credit: 

• Demonstrated experience contributing to open-source projects, particularly within the Kubernetes ecosystem or related cloud-native technologies.
• Advanced knowledge of cloud providers and tools (e.g., AWS, Azure, Google Cloud Platform) and experience with multi-cloud or hybrid cloud environments.
• Active participation in Kubernetes or cloud-native communities, including meetups, conferences, or forums.
• Experience creating tools, plugins, or frameworks that enhance Kubernetes migrations or operational efficiency.
• Published articles, blogs, or documentation on Kubernetes best practices, migration strategies, or cloud-native solutions.

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7693

#LI-Remote

At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform. Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications.

From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You’ll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure.

This is a remote position.

What You'll Be Doing

• Deploying, maintaining, and scaling DigitalOcean’s data center infrastructure
• Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches
• Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure
• Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions
• Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation
• Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure
• Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems
• Debugging hardware, network, and Linux OS related issues
• Submitting RMAs and managing hardware lifecycle replacements with equipment vendors
• Managing shipping, receiving, and inventory tracking of data center hardware and components
• Maintaining deployment documentation, runbooks, and operational procedures
• Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades
• Supporting operational readiness for new data center deployments
• Participating in an on-call rotation to support infrastructure availability
• Mentoring junior engineers and contributing to team development
  
  

What You'll Add to DigitalOcean

• 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments.
• Strong understanding of data center infrastructure including compute, networking, and storage systems
• Proficient understanding of data center power and cooling architecture
• Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure
• Experience working with or supporting liquid-cooled infrastructure
• Strong Linux knowledge and command line experience; familiarity with bash scripting
• Strong troubleshooting skills across hardware, networking, and operating systems
• Understanding of data center cabling standards and deployment best practices
• Experience supporting large-scale infrastructure deployments or data center expansions
• Ability to analyze infrastructure incidents and drive operational improvements
• Strong problem-solving skills and the ability to perform deep technical investigations
• Experience maintaining deployment documentation and operational procedures
• Ability to collaborate with cross-functional engineering teams
• Willingness to participate in an on-call rotation
• Valid driver’s license and ability to travel domestically and internationally (20–25%)
• Ability to lift objects up to 50 lbs and be on your feet for extended periods
• Ability to mentor and train junior engineers

Compensation Range: 

• $128,000 - $161,000

*This is a remote role

JR: 2026-7651

#LI-Remote

We’re looking for a security manager passionate about defending the enterprise to lead a team of Security Engineers and Analysts.

You will manage a team dedicated to defending DigitalOcean’s corporate and production environments, reporting to the Director of Security. At the heart of this team's mission lies a commitment to building and maintaining robust systems that keep DigitalOcean's production and corporate infrastructure safe, secure, and defensible. We protect DigitalOcean from internal and external threats by implementing security tools and processes. We collaborate with teams to provide secure-by-design solutions that remove obstacles to productivity, embodying a "yes, and" philosophy rather than "no."

What You’ll Do:

Lead and grow the team

• You will manage, mentor, and hire for a team of 6 infrastructure security engineers and security analysts ranging from junior to staff levels.
• You will support team members’ career growth, manage performance, and ensure the team maintains a high bar for technical execution.

Scale security infrastructure

• You will lead Infrastructure Security engineers in building and maintenance of critical systems including Vault, VPNs, LDAP, and Network IDS sensors.
• You will oversee the maintenance of mission-critical Infrastructure as Code automation, leveraging tools like Ansible, Chef, and Terraform while leading the strategic evolution of IAM and endpoint security for both production and corporate infrastructure.
• Maintain the operational health of the team’s platforms and services by overseeing a sustainable on-call rotation, serving as a secondary escalation point to support your engineers during major infrastructure disruptions or outages.

Mature detection engineering

• You will lead Security Analysts in building a first line of defense, triaging corporate alerts, and building robust detections.
• You will ensure the team effectively monitors for suspicious activity and executes the crucial initial steps of alert triage to activate Incident Response.
• Collaborate closely with ICs and leaders in Digital Forensics and Incident Response (DFIR) to ensure the detection pipeline is grounded in reality, building high-fidelity alerts that map directly to potential security incidents and threat actor behaviors.

Build bridges, not walls 

• You will foster strong cross-functional relationships by working closely with ICs and leaders across both corporate and technical teams, including IT, Finance, Internal Audit, and Product Engineering.
• You will lead your team to be proactive "yes, and" partners who help stakeholders navigate security challenges with clarity and confidence.

What You’ll Add to DigitalOcean:

Experienced management

• You have 2+ years of experience leading a team of security engineers or analysts.
• You are comfortable stepping into a role with 6 direct reports and have a track record of elevating talent across all levels (junior to staff) and keeping them engaged and unblocked.

Technical context

• You possess a deep background in Infrastructure Security, Security Operations, or Security Engineering.
• You lead with technical credibility, providing meaningful feedback on complex systems across Identity (IAM, ZTNA), Infrastructure (VPNs, Endpoint, IDS, Vault), and Security Observability platforms.
• You have direct experience with security monitoring programs and a passion for maturing enterprise defense.

Servant leadership

• You measure your own success by the success of your team.
• You have a track record of defining clear priorities to reduce context switching, clearing operational paths so your engineers and analysts can focus on technical execution, and ensuring they receive visibility and credit for their work.

Empathy & communication

• You translate complex security risks into business context for leadership and teach your team to communicate with empathy and clarity.
• You effectively communicate roadmaps, milestones, target dates, and project status to both your direct leadership and the extended security leadership team.

Compensation Range: 

• $180,000 - $210,000

*This is a remote role.

JR: 2026-7588

#LI-Remote

DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our GPU Kernel and Performance team. DigitalOcean aims to be the Inference Cloud of choice for digitally native companies and you will help ensure we can offer the industry-leading performance for our inference services. You will be responsible for the architectural decisions that maximize throughput and minimize latency for the world’s most advanced large models. As an IC leader, you will act as a force multiplier for the engineering organization, solving the most complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for our high-performance inference fleet.

What You’ll Do:

• Kernel Engineering: Design and implement high-performance GPU kernels using Triton and CUDA C++.
• Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental FP4) to double throughput without losing accuracy.
• Memory Magic: Optimize memory access patterns (SRAM vs. HBM3e) to eliminate bottlenecks in long-context attention mechanisms.
• Research to Production: Implement the latest architectural breakthroughs like FlashAttention-4 and TileLang directly into our production stack.

What You’ll Bring:

• Low-Level Mastery: Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores).
• The Toolkit: Expert-level Triton or CUDA. If you’ve contributed to the Triton compiler or wrote custom CUDA kernels for a major LLM, we want you.
• Math Foundation: Strong grasp of linear algebra and how it maps to parallel hardware.
• Performance Obsession: A track record of optimizing kernels to achieve >80% of theoretical hardware peak performance.

Compensation Range: 

• $167,200.00 to $209,000

*This is a remote role

JR:  2026-7593

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

We’re seeking a technically strong Product Manager to lead Identity and Access Management (IAM) and Role-Based Access Control (RBAC) for our customers. This role is focused on building customer-facing identity and collaboration capabilities—not internal enterprise IT systems. You’ll define and deliver the foundational security layer that enables customers to securely manage users, teams, projects, and cloud resources at scale.

You will own the strategy for DigitalOcean’s identity platform, spanning user onboarding, authentication (e.g., 2FA), and fine-grained role-based access controls. In parallel, you’ll drive the vision for machine identity—enabling workloads and services to securely authenticate and interact using modern, short-lived credentials instead of static secrets.

As the IAM/RBAC Technical Product Manager, you will set the roadmap for Customer Identity (CIAM) and secure collaboration, partnering closely with engineering, design, security, sales, and customers to deliver scalable, high-impact solutions. You’ll measure product performance, incorporate customer feedback, and continuously evolve the platform to meet the needs of growing, security-conscious organizations.

What You’ll Be Doing:

• Own the vision for Platform IAM
  Set and drive the long-term strategy for identity and access management across the platform. Define the roadmap for access controls, permissions, and secure authentication protocols that protect customers while enabling growth.
• Design modern workload identity systems
  Lead the development of a cloud-native workload identity framework that enables compute resources to assume ephemeral, short-lived identities for secure, least-privilege access to platform services.
• Establish service authorization
  Define standards and deliver solutions for secure service-to-service authentication and authorization. Ensure backend systems communicate and verify one another within a scalable architecture.
• Deliver developer-first security experiences
  Translate complex security and compliance requirements into intuitive, API-first capabilities. Build seamless permission management experiences across Droplets, Databases, Kubernetes, and other core products.
• Enable secure multi-tenancy and collaboration
  Define how modern, digital- and AI-native organizations manage service accounts, and securely share resources within the ecosystem—balancing flexibility with strong governance controls.
• Lead cross-functional roadmap execution
  Partner with engineering, security, compliance, and go-to-market teams to prioritize and deliver scalable IAM capabilities that meet business goals and the demands of a global cloud platform.
• Measure impact and continuously improve
  Establish clear KPIs to track adoption, reliability, performance, and customer outcomes. Use data and feedback to iterate and evolve IAM capabilities over time.
• Champion the customer voice
  Engage directly with customers and the developer community to understand emerging needs and ensure IAM solutions support secure, scalable growth.
• Ensure security and regulatory alignment
  Drive compliance with global security standards and privacy regulations, embedding best practices into all customer-facing identity products.

Competencies

1. Technical Acumen: Deep understanding of cloud-scale identity protocols (OAuth2, OIDC, SAML, SPIFFE) and how they apply to cloud environments.
2. Product Craft: Ability to design “infrastructure-as-the-product,” focusing on ease of use and developer-centric workflows for customers of various capabilities.
3. Communication: Exceptional skills in influencing cross-functional teams and articulating the value of security features to both technical and non-technical stakeholders.
4. Strategic Problem Solving: Capacity to think through complex authorization models and resource-sharing logic at a platform level.
5. Customer Centricity: Passion for understanding the friction points developers face when managing security and building solutions that remove those hurdles.
6. Organizational Skills: Excellent organizational and time management skills, able to manage multiple projects and deadlines simultaneously

Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in Product Management, specifically focused on customer-facing IAM, security, or cloud infrastructure products.
• Proven experience in managing the full product lifecycle for high-scale, multi-tenant software.
• Deep understanding of IAM/RBAC technologies, cloud-based systems, and cybersecurity principles
• Knowledge of common IAM protocols and standards (e.g., OAuth, OpenID Connect, SCIM).
• Prior experience working with Agile development methodologies.
• Familiarity with cloud hosting, virtualization, and API-first product design.

Preferred Qualifications

• 5+ years of experience in IAM or security-related product roles.
• Experience building customer identity and access management (CIAM) systems or developer tools.
• Deep familiarity with SPIFFE/SPIRE, OIDC-based workload federation, or designing automated credential management systems for large-scale cloud environments.
• Professional certifications like CISSP, CISM, CISA, or relevant product management certifications.
• Past success in shaping highly scalable software products with an eye on ease-of-use.

Compensation Range: 

• $159,200 - $199,000

*This is a remote role

JR: 2026-7486

#LI-Remote

We are looking for a Senior Software Engineer who is passionate about startups fueling the next wave of AI innovation. 

The Role

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role.

JR: 2026-7538

#LI-Remote

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $133,680.00 - $167,100.00

*This is a remote role

#LI-Remote

We want people who are passionate about building meaningful, long-term relationships with our customers that help grow and scale business in the cloud.

Our Technical Account Manager team’s mission is to partner with our most critical business customers, helping them achieve desired outcomes through optimal use of the cloud platform aligned to their business strategy. Technical Account Management is an integral part of our company. They are passionate about building meaningful, long-term relationships with our customers and are experts in cloud technology and the digital economy. As the voice of the customer, you have the opportunity to influence decisions that will greatly improve user experience and contribute to DigitalOcean’s long-term success.

This is a unique and exciting opportunity for someone who is passionate about advising companies as they scale. This multifaceted role combines the responsibilities of a Technical Account Manager with leadership, technical, and strategic elements, making it a crucial position within our organization.

As a Senior Technical Account Manager at DigitalOcean, you are a strategic partner for our key business customers, ensuring they receive the guidance, support, and resources needed to succeed. You will leverage your technical knowledge and customer advocacy skills to retain and grow our customers' deployments on DigitalOcean, helping them solve complex challenges and maximize the value of their cloud infrastructure.

What You Will Be Doing:

• Technical Consultation & Architecture Design:
• Develop and maintain deep expertise in the DigitalOcean product portfolio and the evolving cloud ecosystem.
• Help design, diagram, and plan infrastructure architectures tailored to customer use cases, explaining solutions clearly to both technical and non-technical stakeholders.
• Conduct regular technical consultation sessions and workshops, enabling customers to be self-sufficient in managing their cloud environments.
• Maintain knowledge of cloud infrastructure best practices and recent technologies through the regular attainment and maintenance of important cloud technology certifications and coursework.
• Proactive Customer Engagement & Growth:
• Manage and maintain DigitalOcean’s key accounts 
• Partner closely with customers to drive engagement, retention, and expansion of their DigitalOcean workloads.
• Conduct QBRs with key accounts, assessing their progress, understanding their evolving needs, and aligning on strategies for future growth.
• Identify opportunities for cost reduction and performance optimization, guiding customers to make data-driven decisions that maximize their cloud investments.
• Collaborate with internal teams, such as Engineering, Marketing, and Account Managers, to align customer needs with DigitalOcean’s strategic goals.
• Proactively monitor customer usage trends, identify potential risks, and uncover new opportunities for growth and adoption.
• Advocacy & Cross-Functional Collaboration:
• Act as the voice of the customer within DigitalOcean, ensuring their needs are represented in product development and support processes.
• Liaise with Engineering and Support teams to resolve escalations and technical challenges quickly, ensuring smooth customer experiences.
• Deliver compelling presentations to articulate the benefits and functionality of DigitalOcean’s offerings to customers.
• Contribute to internal and external technical documentation, and provide training for DigitalOcean’s teams and partners to ensure knowledge transfer.
• Tooling & Efficiency:
• Develop tools and scripts to streamline DigitalOcean’s technical engagements, improving the efficiency of the Technical Account Management functions.
• Stay current with industry trends and best practices to continuously enhance DigitalOcean's customer engagement strategies.

What We’ll Expect From You:

• Technical Expertise:
• Proven experience in cloud infrastructure and deep knowledge of Linux, distributed systems, and automation.
• Programming or development experience, with basic skills in at least one mainstream language (e.g., Python, Go).
• Understanding of provisioning and deployment strategies, with knowledge of tools like Terraform, Ansible, and Docker.
• Proficiency with at least one major cloud platform (AWS, Google Cloud Platform, or Azure).
• Proven track record of successfully troubleshooting technical problems. 
• Familiarity with version control (e.g., Git), SQL and basic database administration, CI/CD tools, and AI/ML infrastructure principles.
• Customer-Centric Approach:
• Passionate about delivering exceptional customer experiences, with a history of building successful technical solutions that align with business goals.
• Ability to manage multiple stakeholders, prioritize effectively, and set clear expectations.
• Strong analytical skills to monitor customer trends and identify opportunities for improvement and growth.
• Experience advocating for customer needs and translating feedback into actionable insights.
• Communication Skills:
• Strong verbal and written communication skills, capable of translating complex technical concepts for varied audiences.
• Ability to create and deliver technical presentations and training sessions that resonate with customer needs.
• Adaptability & Initiative:
• Self-starter with a passion for technology and open-source projects, eager to learn new tools and systems.
• Quick to adapt to changes in the cloud ecosystem, always looking for ways to improve customer engagement and technical solutions.
• Extra credit for experience in (Technical) Customer Success, Solutions Engineering, or Technical Account Management roles, particularly within fast-paced startup environments.

Extra Credit:

• Cloud certifications (AWS/GCP/Oracle/Azure) and NVIDIA certifications for GPU and AI/ML.
• Experience with networking (Cisco/Juniper), automation tools (Terraform, Ansible), virtualization (KVM, Xen), and databases (e.g., MongoDB, MySQL).
• Familiarity with open-source technologies, such as Docker, Kubernetes (CKA/CKE), and DigitalOcean’s API.
• Linux certifications (e.g., RHCSA/RHCE) 
• Experience working with large CRMs like Gainsight and Salesforce

Compensation Range: 

• $142,000 - 176,000

*This is a remote role

JR: 4290

#LI-Remote

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform.
• Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs.
• Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements.
• Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations.
• Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams.
• Create executive-level summaries and insights that tie platform usage to business outcomes.
• Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing

Who You Are:

• You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space.
• You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP) and have hands-on experience with infrastructure or application monitoring.
• You’re familiar with scripting or automation tools (e.g. Python, Bash, Terraform, Chef/Puppet).
• You have working knowledge of CI/CD pipelines and containerization tools (e.g. Jenkins, GitLab, Docker, Kubernetes).
• You excel at communicating technical concepts to both technical and non-technical stakeholders, and can adapt your style for individual contributors or exec audiences.
• You’re able to work with minimal guidance on customer enablement, issue triage, and product adoption strategies.
• You are comfortable traveling up to 25–30% of the time as needed (via auto, air, or train).
• Previous experience using Datadog or other cloud monitoring tools is a strong plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding program
• Generous global benefits package
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, including Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The Manager of Networking at Datadog leads the global management of network services across all Datadog offices worldwide. This role is responsible for ensuring seamless, high-performance Wi-Fi and direct internet access in our global offices and conference room technology, supporting a rapidly growing global enterprise. As Datadog continues to grow rapidly, this role plays a critical part in scaling both the team and network infrastructure to meet increasing demand. This is a hybrid role that sits in global headquarters in New York city and requires three days in the office each week with occasional travel to our offices around the world.

What You’ll Do: 

• Lead the global network engineering teams, managing both full-time employees and third-party vendors to ensure consistent and high-quality service delivery for Datadog offices worldwide.
• Oversee the design, deployment and scaling of office network infrastructure, including Wi-Fi (Cisco Meraki) and edge networking devices (Cisco, Palo Alto, Juniper, and others), ensuring these services operate according to Datadog's defined service level objectives.
• Define and implement standards, policies, and processes for network infrastructure to ensure security, reliability and scalability.
• Collaborate with IT Security, Enterprise Technology, and Workplace teams to align network services with broader IT and business objectives.
• Develop and track operational metrics for service availability, network performance, driving continuous improvement and optimization.
  
  

Who You Are: 

• An experienced people manager with at least 2+ years of leadership experience managing teams of network engineers.
• Proven expertise in Wi-Fi network engineering, including deep knowledge of Cisco Meraki and edge networking solutions from vendors like Cisco, Palo Alto and Juniper.
• Experience managing large-scale office technology projects in global enterprises with more than 10 offices and 7,000+ employees, ensuring infrastructure keeps pace with rapid company growth.
• Strong vendor management skills, with experience selecting, negotiating, and overseeing third-party providers for network services.
• Excellent communication and cross-functional collaboration skills, with the ability to work across IT, Workplace, Security, and executive stakeholders.
• Preferred: A degree in Computer Science, Software Engineering, or a related field, along with professional certifications such as CCNA, CCNP or equivalent networking certifications.
  
  

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
• Continuous professional development, product training and career pathing.
• Intradepartmental mentor and buddy program for in-house networking.
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups).
• Access to Inclusion Talks, our Internal panel discussions.
• Free, global mental health benefits for employees and dependents age 6+.
• Competitive global benefits.

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.

Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as the in-house subject matter expert for Datadog’s LLM Observability product
• Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability
• Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community
• Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments
• Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience

Who You Are: 

• You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details
• You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates
• You have experience with languages such as Python and/or JavaScript/TypeScript
• You are comfortable operating in rapidly evolving, ambiguous technical domains
• You build deep context across teams and translate it into reusable, scalable solutions
• You take ownership from problem definition through implementation and measurable outcomes
• You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
• You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Experience with LLM application evaluation and testing frameworks

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.

The Digital Experience & Experimentation family of products includes Product Analytics, Feature Flags, Experimentation, and Session Replay and is a fast-growing segment at Datadog and addresses a distinct buyer, product managers, digital experience teams, and product engineers building and optimizing customer-facing applications. As a Product Solutions Architect, you will partner closely with Datadog customers and the Product team to design architectures, implement best practices, and drive adoption of this digital experience product family across customer environments.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as an in-house subject matter expert for the Datadog Product Analytics, Feature Flags, Experimentation, and Session Replay and related products.
• Partner with field teams to offer guidance on architecture choices, SDK instrumentation, data collection, and best practices to large Enterprise customers as they adopt the product family.
• Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience.
• Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community.
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities.
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Product Analytics product family.
• Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments.
• Collaborate on defining the technical GTM motion for Feature Flags and Experimentation, including competitive positioning against competitors to enable Sales Engineers globally to run these conversations independently.

Who You Are:

• 5+ years of experience solving complex problems for customers and a strong knowledge of building applications, specifically using product analytics, feature flagging, or digital experience tooling.
• You have excellent verbal and written communication skills.
• Familiarity with product analytics platforms and optimizing them for Enterprise level production usage (e.g. Adobe Analytics, Google Analytics, Amplitude, Mixpanel, Heap, Contentsquare, FullStory, PostHog).
• Fluent in the digital experience and product analytics market domain, competition, technological shifts, and customer needs related to feature flag management, experimentation, and session replay.
• In-depth knowledge or experience with leveraging feature flag and experimentation tools (LaunchDarkly, Eppo, Split, Optimizely, etc.) and session replay platforms (FullStory, Contentsquare, Microsoft Clarity, etc.).
• Someone who can analyze Codebase and understands CI/CD, branch strategies and how that can influence Feature Flags.
• Experience with commonly used web and mobile languages and frameworks such as JavaScript, TypeScript, React, Python, iOS/Swift, Android/Kotlin, and file formats such as JSON and YAML.
• You are comfortable operating in rapidly evolving, ambiguous technical domains.
• You build deep context across teams and translate it into reusable, scalable solutions.
• You take ownership from problem definition through implementation and measurable outcomes.
• You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
• You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations.
• Able to sit up to 4 hours, traveling to and from client sites.
• Able to travel via auto, train, or air up to 40% of the time.

Bonus Points:

• Successful track record with 5+ years experience working as a Growth Engineering 
• Experience using Datadog and/or other observability tools with Product Analytics, or Feature Flags.
• Have proven experience deploying observability or analytics instrumentation in production environments at scale.
• Background in experimentation program design, defining success metrics, guard rails, and statistical significance frameworks for A/B tests.
• Experience with privacy-by-design and data governance for session replay, including PII masking, consent management, and data residency requirements in regulated industries.
• Experience collaborating with open source projects and active engagement within associated communities.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Our SLED sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. Whether you're looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success.

We are searching for an experienced SLED Sales Executive that has a real passion for technology and can deliver on bold revenue targets. As we continue to enter into bigger markets, and formalize our support for the Public Sector enterprise segment, this division within Datadog will blaze the path for organizational growth. This is a lucrative opportunity to break into new State, Local, and Education accounts within a rich territory, as well work with accounts who are in a hybrid state and transitioning to the cloud. 

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Prospect into State, Local, and Education organizations while running an efficient sales process
• Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts
• Develop a deep comprehension of customer's business
• Negotiate favorable pricing and business terms with SLED enterprises by selling value and ROI
• Handle existing customer expectations while expanding reach and depth into assigned territory
• Demonstrate resourcefulness when faced with challenges that defy easy solution
• Have intuitive sense of necessary steps to close business and gain customer validation
• Identify robust set of value drivers behind all opportunities
• Ensure high forecasting accuracy and consistency

Who You Are: 

• Someone with 3+ years closing experience (mix of field selling within mid-market or enterprise)
• Driven and have met/exceeded direct sales goals of 800k+ and operated with an average deal size of $50k+
• Able to demonstrate methodology to prospect and build pipeline on your own
• Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred)
• Experienced in selling into state, local, and education organizations with the ability to win new logos
• Role requires regular travel to client sites, within your area and other regions, using various modes of transportation (car, train, air), depending on business needs.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• High income earning opportunities based on self performance
• New hire stock equity (RSU) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing 
• Sales training in MEDDIC and Command of the Message 
• Intra-departmental mentor and buddy program for in-house networking 
• An inclusive company culture, opportunity to join our Community Guilds
• Generous and competitive medical benefits package
• Retirement savings match
• Pet adoption and insurance program

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Position Overview: 

PINE Advisor Solutions (“PINE”) is seeking a Director of Investment Adviser Compliance to join our team. The Director will support and advise PINE’s investment adviser clients by overseeing compliance programs for registered investment advisers, registered funds, and private funds. This is a high-impact, client-facing leadership role ideal for an experienced compliance professional who thrives on building relationships, solving complex regulatory challenges, and leading engagements across a dynamic client base. The ideal candidate will bring strong judgment, deep knowledge of applicable SEC regulations, and a proactive mindset toward managing risk and regulatory obligations.  

About PINE: 

PINE is a dynamic and fast-growing organization that provides institutional-quality outsourced solutions for funds and investment managers. Our team is driven by the belief that we are contributing to something remarkable. 

At PINE, we prioritize client service and a collaborative culture. The ideal candidate will be motivated, detail-oriented, eager to learn, and thrive in a high-performing and supportive environment. Our culture is built around an “all for one and one for all” philosophy. Your contributions matter, and we are a team that embraces challenges and believes in growing through doing. 

Responsibilities 

• Serve as the outsourced CCO for RIAs, managing multiple client accounts across a variety of investment strategies. Provide guidance on Advisers Act, ICA, SEC regulations 
• Leverage excellent communication, collaboration, client service and relationship management skills to guide and mentor team members; provide coaching and development opportunities 
• Lead a team in delivering compliant programs for SEC-registered advisers 
• Conduct regularly scheduled calls and meetings to advise clients on regulatory best practices 
• Oversee development of key compliance work products: written policies and procedures, risk assessments, compliance manuals, codes of ethics, compliance calendars 
• Perform annual 206(4)-7 reviews examining adviser's policies, procedures, and documentation 
• Conduct forensic testing and ongoing compliance monitoring based on risk assessments 
• Assist with regulatory filings such as Form ADV, Form PF, 13F, and fund compliance questionnaires 
• Represent clients in SEC examinations and enforcement actions; develop action plans and responses 
• Identify opportunities to enhance compliance services and add value for clients 
• Participate in business development initiatives, conference speaking, and client meetings 
• Exercise discretion and make independent judgments on matters of significance 
• Thrive in a fast-paced small team environment 
• Stay current on regulations and compliance trends; pursue continuing education 
• Embrace new initiatives and continuously enhance internal processes and workflow 

Qualifications 

• 10+ years in investment advisory compliance consulting or in-house
• Prior experience as an RIA CCO
• Bachelor's degree required, MBA or JD preferred
• Deep expertise in Advisers Act, Investment Company Act, SEC regulations
• Specific experience in asset management, hedge funds, private equity a plus
• Compliance certifications like IACCP or CCEP preferred
• Excellent written/verbal communication and presentation skills
• Lead calls and draft responses during SEC examinations and enforcement actions
• Existing network and business development experience
• Speak at industry conferences; author compliance articles
• Flexibility to work independently and in a team environment
• Dedication to ethics, integrity, and client service
• NFA/CFTC experience is a plus
• Strong interpersonal skills with the ability to build effective working relationships
• Ability to collaborate with colleagues, clients, and junior team members

Location/Remote Work 

• Candidates who can work out of our Denver office 3-5 days per week are preferred, However, we are open to hiring remote employees located anywhere in the US with investment compliance experience for the right fit 
• Please indicate your location and remote work interest in your application. 
• Some periodic travel to Denver will be expected for remote hires 

Salary Range: $150,000 - $180,000 

Actual compensation will be determined based on experience, qualifications, and other job-related factors. This position may also be eligible for discretionary bonus compensation. 

Employee Benefits 

• Health Insurance – we cover 100% of the cost for employees 
• A comprehensive selection of medical, dental, and vision health plans 
• Life and disability insurance 
• 401(k) savings plan 
• Unlimited vacation policy 
• Paid maternity and paternity leave 

What You Can Expect From PINE 

Work-life Balance 

• We trust you to be the expert on creating an environment that allows you to bring your best self to work. With unlimited vacation and flexible work-from-home options, we encourage a work-life balance that brings out the best in our team. 

Be a Leader 

• At PINE, we prioritize ensuring that each team member has the chance to emerge as a leader and make substantial contributions to our company. 

Experience an Environment of Learning 

• We place an emphasis on learning from each other and celebrating our unique expertise. There are abundant opportunities to learn and hone new skills. 
   

PINE Advisor Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy), age, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. 

This position is expected to remain open for approximately two weeks. The posting may close sooner if the position is filled or if a sufficient number of qualified applicants are received. 

Senior Customer Engineer

The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a West Coast territory. 

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Your role
We are looking for a rare breed of leader: someone who possesses the technical depth of an AI Architect and the strategic mindset of a Sales Executive. Reporting directly to the Vice President of Sales Engineering, you will recruit, mentor, and direct a team of Forward Deployed Engineers who translate complex business challenges into high-impact, Agentic AI systems.

You are a self-starter who thrives in ambiguity. You don't just manage a team; you lead from the front, acting as the company’s most technically fluent business consultant and our customers' most trusted AI architect. You will partner across Sales, Product, and Engineering to ensure our AI platform is not only adopted but becomes the backbone of our customers' operations.

You will lead a specialized, high-impact technical division within our global Sales organization. This team isn't just selling software; they are building the future of communication. The Agentic Sales Engineering team is the "special forces" of our Go-To-Market strategy—a group of elite Forward Deployed Engineers who embed themselves within our most strategic accounts to bridge the gap between visionary AI potential and production-ready reality.

What you’ll do

• Build & Mentor: Recruit and develop a high-performing team of Forward Deployed Engineers. Coach them to develop both their technical AI/ML skills and their ability to command a C-suite boardroom.
• Strategic GTM Leadership: Partner with Sales leadership to identify "must-win" accounts where Agentic AI can be a differentiator. Actively participate in the sales cycle to provide leadership, technical authority, and strategic deal support.
• Bridge the Gap: Act as the crucial link between the field and the lab. Synthesize critical "field signals"—customer pain points, integration patterns, and platform limitations—and deliver them to Product and Engineering to influence the roadmap.
• Architect Value: Guide the team in designing complex multi-agent systems, retrieval pipelines (RAG), and decision logic that integrate with CRMs, ERPs, and custom APIs via our MCP framework.
• Innovate Processes: Create and implement new systems for "AI Envisioning" sessions, helping customers navigate complex cloud/data infrastructure to bring AI bots to life.
• Drive Execution: Ensure the team isn't just selling a vision, but building the "shippable" capabilities that validate a customer's investment during pre-sales and early deployment.

Skills you’ll bring

• The Basics: BA/BS degree or equivalent practical experience.
• Experience: Minimum 8 years of customer-facing technical experience (Sales Engineering, FDE, or Solutions Architecture).
• Minimum 5 years of people management experience, specifically leading technical teams.
• Technical Depth: Deep, demonstrable expertise in the modern AI/ML stack: LLMs, Vector Databases, and Agent Orchestration Frameworks. Proficiency in Python, Go, or JS/TS.
• Business Acumen: The ability to simplify technical complexity and communicate clear ROI and trade-offs to non-technical C-suite executives.
• Leadership Style: High emotional intelligence with a "scrappy" mentor mindset. You are someone who takes initiative and thinks creatively to get the job done under tight timelines.
• Operational Excellence: Strong analytical skills to use data in improving team effectiveness and product vision.

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

Location: Remote 

Position Summary: 

Our Scalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity. In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyond maintaining infrastructure, you'll architect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure—from application logs and metrics to distributed traces. You'll build production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, and optimize their systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. 

Position Responsibilities: 

In this role, you'll own the observability infrastructure that powers our engineering organization. You will:  

• Architect observability platform: Design, implement, and maintain the LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience.
• Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities.
• Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost.
• Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis. 
• Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics. 
• Balance cloud-native and open-source: Architect solutions that thoughtfully leverage both AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack, Quickwit) to optimize for cost, performance, and operational flexibility based on use case requirements. 
• Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure. 
• Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly. 
• Partner with engineering teams: Work directly with product teams to integrate observability into their services, establish logging and metrics standards, and instrument code effectively, serving as the observability subject matter expert. 
• Enable performance optimization: Provide the observability foundation that allows the Scalability team to identify performance bottlenecks, track optimization impact, and measure platform stability with data-driven insights. 
• Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices. 
• Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices. 
• Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning. 
• Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering or infrastructure engineering experience with demonstrated progression into technical leadership roles. 
• Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure. 
• Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services. 
• LGTM stack expertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale. 
• AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns. 
• SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena, DuckDB, or similar query engines for analyzing structured and semi-structured data at scale. 
• Cloud-native and open-source balance: Demonstrated ability to architect solutions leveraging both managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in. 
• Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines. 
• Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics). 
• Systems thinking: Deep understanding of distributed systems, microservices architectures, and the complex observability challenges they present. 
• Data at scale: Proven track record handling high-volume structured and unstructured logging data, identifying patterns, and building efficient search/query solutions that perform well under load. 
• Product mindset: Ability to build internal platform products that engineers love to use, with attention to UX, performance, and reliability. 

Preferred Qualifications: 

• Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go. 
• Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources. 
• Additional observability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms. 
• Advanced query languages: Deep expertise with PromQL, LogQL, SQL optimization, and query optimization for high-cardinality data. 
• Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3. 
• Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements. 
• Cost optimization: Track record of reducing observability costs while maintaining or improving capabilities (e.g., CloudWatch → S3/custom indexing migration). 
• Data pipelines: Experience with streaming data pipelines, ETL processes, or real-time data processing. 
• Distributed tracing: Deep knowledge of OpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures. 
• Git expertise and experience working in a mono repository. 
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 
• Experience building developer tools or internal platforms that improve engineering productivity. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

Location: Remote 

Position Summary: 

Join our Scalability team as a Senior Scalability Engineer focused on streaming and realtime systems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, and realtime event processing. Your work will handle systems processing hundreds of thousands to millions of records per batch while maintaining strict ordering guarantees and exactly-once semantics. Working closely with our clients and cross-functional teams, you'll build foundational streaming infrastructure while partnering directly with product teams to implement realtime capabilities that power critical business workflows. 

Position Responsibilities: 

In this role, you'll provide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: 

• Own streaming infrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records while maintaining strict ordering and delivery guarantees. 
• Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization. 
• Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability. 
• Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support. 
• Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines. 
• Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack.  
• Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning. 
• Make strong architectural choices through careful evaluation and prior experience with distributed systems.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering experience with demonstrated progression into technical leadership roles. 
• 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure. 
• Strong expertise in Python (Flask/SQLAlchemy) for production applications. 
• Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms.
• Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms. 
• Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns. 
• AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration.  
• Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases.  
• Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability.  
• Collaboration and communication: Strong written and verbal communication skills with ability to work autonomously while driving proactive collaboration in a remote environment. 

(Optional) Preferred Qualifications:   

• Rust development experience or strong interest in learning Rust for high-performance systems.
• Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure. 
• Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms.  
• Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns.
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.