Domino Data Lab

• You will be given the resources to master Domino platform mechanics and learn core user/admin functionalities. You will closely shadow the customer’s environment, pairing with a senior FDE to learn the client’s unique data, tooling stack, and commercial objectives. • You will step into full customer ownership across your engagements, executing independently against a prioritized backlog managed by your partner Engagement Manager (EM). You will build and deploy production-grade solutions across the entire MLOps lifecycle (development, deployment, and monitoring) while actively advising data science teams on Domino best practices. • You will lead and advise on key accounts, serving as a trusted advisor to technical and business stakeholders alike. You will author reusable playbooks, integration templates, and deployment guides for our shared knowledge base, measurably lifting the delivery speed of the entire FDE practice. Additionally, you will translate field intelligence into critical product feedback, routing platform signals to our SRE, Support, and Product teams to shape Domino’s roadmap.

• Design and deliver solution architectures that integrate Domino into customer IT landscapes across infrastructure, data, identity, and security. • Build, test, and document new field integrations with ecosystem technologies, and enable the broader Solutions team on them. • Partner with account and sales-engineering teams on scoping, custom demos, and proofs of concept that address real customer use cases. • Create reproducible, well-tested artifacts — reference architectures, integration templates, runbooks — that improve delivery consistency. • Gather field requirements and feature requests and translate them into actionable input for Product and Engineering. • Continuously grow across cloud, Kubernetes, data, and AI/ML tooling, applying new skills directly in customer solutions.

Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai What we are building Our Sales Engineering team is at the heart of transforming curiosity into confidence. We help prospects envision the full potential of our platform, guiding them from discovery to realization. Working closely with Enterprise Account Executives, our Sales Engineers craft compelling product demonstrations, design and execute impactful proof-of-concepts, and shape technical strategies that drive successful customer implementations. As a growing company, our Sales Engineers play a pivotal role beyond just sales—collaborating across Marketing, Product Management, and Engineering to bridge the gap between market needs and product innovation. If you thrive in an environment where your technical expertise fuels real business impact, and where your insights help shape the future of our platform, you’ll feel right at home here. What your impact will be - Lead technical evaluations and demonstrations of the Domino platform for customers across the Department of Defense, civilian agencies, federally funded research and development centers (FFRDCs), and major defense contractors. - Design and execute proof-of-concept deployments tailored to each customer’s environment and mission needs, showcasing Domino’s integration with their data science workflows and infrastructure. - Collaborate with account executives to craft solution architectures that meet federal security and compliance standards (e.g., FedRAMP, IL5). - Develop and maintain reusable demonstration environments and technical assets that accelerate future sales cycles. - Drive post-POC adoption readiness by partnering with Customer Success and Solutions Architects to ensure a smooth handoff into deployment. - Success will be evident through higher technical win rates, reduced time to close, and increased adoption within key government accounts. What we look for in this role - Security Clearance: This position requires an active U.S. Secret Security Clearance (US Citizenship required), with the ability to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance and program access (post start). A U.S. Security Clearance that has been active in the past 24 months is considered active. - Proven success in pre-sales or solutions engineering, ideally supporting enterprise software or AI/ML platforms. This does not necessarily need to be at a software vendor, equivalent solution engineering tasks internally or as a consultant developer could work. - Experience with U.S. public sector customers, especially within federal agencies, defense, or national labs — understanding their procurement processes, compliance constraints, and security environments. - Track record of leading successful technical evaluations or pilots that resulted in multimillion-dollar enterprise or government software deals. - Experience working in complex, highly regulated IT environments, including hybrid or air-gapped systems. - Proficiency in Python, R, and modern data science / machine learning tools. - Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS GovCloud, Azure Government, GCP), and networking concepts. - Understanding of the end-to-end AI lifecycle, from experimentation to production. What we value - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply - We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success - We believe in individuals who seek truth and speak the truth and can be their whole selves at work - We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company #LI-Remote The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Total Compensation Range $200,000—$250,000 USD

• Transform vulnerability management across functions • Create technical collateral for Sales and Client Management • Tackle complex technical problems with strategic insight

• Lead the development of Domino's internal AI-assisted reliability tooling, including systems that analyze tickets, logs, traces, and documentation to help teams resolve outages faster with less recurring toil • Improve the observability coverage and signal quality for our most critical customer-facing systems, so engineers have more to work with throughout the development and support lifecycle • Own incident response end-to-end, from detection to remediation, and leave each problem space better documented, better understood, and less likely to recur • Guide the development of customer and user-facing observability tools within our products • Define and mature SLO/SLI frameworks for priority services, turning abstract reliability goals into measurable, actionable standards • Scale cloud operations practices for Domino’s single-tenant SaaS offering, and work with engineering teams to improve the reliability and repeatability of customer deployments and upgrades • Mentor other engineers and shape how SRE is practiced at Domino, including incident response workflows, operational readiness expectations, and post-incident learning culture

• Create unique Rev experiences across Philadelphia (Life Sciences), NYC (Financial Services), and London (international) • Produce exclusive executive experiences: vertical executive boards, exec dinners, advisory boards, intimate strategy sessions at marquee global moments • Lead GTM Kickoff and the Mid-Year Business Review in partnership with the exec team • Run the SWAG and corporate gifts program for audiences from practitioners to executives • Support executive engagements in strategic accounts (EBRs, briefings, Domino Days, intimate dinners) • Support Vertical Marketing on a few priority industry events (PHUSE, AWS re:Invent, Gartner D&A) when needed

• Own the customer program end-to-end: from contract signature through expansion. You're accountable for outcomes, not activities, and every engagement you lead has a single owner (you), clear milestones, and a cadence that keeps everyone (internally and externally) moving as the program manager • Partner with account team to ensure every engagement is scoped to be delivered with excellence, bridging what is sold with what can be executed • Direct the delivery pod (our Forward Deployed Engineers and Integration & Architecture teams) for customer engagements. Put capacity where it creates the most value and keep programs on track across milestones, stakeholder communication, and account health • Earn trust at every level: from C-suite sponsors to the data scientists running models in production. You close the gap between strategic intent and day-to-day delivery • Lead the room in solutioning conversations: connect how Domino builds, scales, and governs AI to the outcomes customer leadership actually cares about. You operate as a peer, not a vendor • Make adoption real: drive rollout, enablement, and change management so what your team ships gets used, not shelved • Turn customer engagements into growth in partnership with customer success and sales — proactively uncovering new use cases and expansion opportunities, qualifying them, and routing them back to internal teams to fuel pipeline • Be the customer's voice inside Domino: convert field intelligence into product feedback, escalations, and commercial signals that make the broader team smarter

• Pick up the existing automation framework, extend it to under-covered surfaces, and harden it for a higher-velocity merge environment • Push automated coverage on critical paths (policy gates, audit trail, RBAC, lineage, data connectors) toward 100%, and hold the line as merge velocity climbs • Drive customer-reported defects on compliance-critical surfaces toward zero • Build an LLM-assisted test pipeline that matches AI-accelerated development with AI-accelerated testing • Make quality posture visible to leadership through a living risk and coverage map both teams own

• Lead the development of Domino's internal AI-assisted reliability tooling, including systems that analyze tickets, logs, traces, and documentation to help teams resolve outages faster with less recurring toil • Improve the observability coverage and signal quality for our most critical customer-facing systems, so engineers have more to work with throughout the development and support lifecycle • Own incident response end-to-end, from detection to remediation, and leave each problem space better documented, better understood, and less likely to recur • Guide the development of customer and user-facing observability tools within our products • Define and mature SLO/SLI frameworks for priority services, turning abstract reliability goals into measurable, actionable standards • Scale cloud operations practices for Domino’s single-tenant SaaS offering, and work with engineering teams to improve the reliability and repeatability of customer deployments and upgrades • Mentor other engineers and shape how SRE is practiced at Domino, including incident response workflows, operational readiness expectations, and post-incident learning culture

• Build custom solutions for customers that integrate with Domino to enhance the customer experience. The solutions built should be well documented, tested, and the rest of the PS team should be enabled on the solution • Collaborate with the larger Domino team to ensure that the customer's voice is being heard with regards to feature or bug prioritization as well as feedback on the platform • Create reproducible artifacts that address recurring client needs, enhancing efficiency and consistency in our delivery process. These artifacts should follow best practices, be tested in various scenarios, and have thorough documentation • Regularly solicit feedback from customers regarding the quality, effectiveness, and relevance of solutions delivered. Use this feedback not only as a metric of personal success but also as a means to identify areas of improvement, ensuring that the solutions provided align perfectly with client needs and expectations