Domino Data Lab

• 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

• Lead technical evaluations and demonstrations of the Domino platform for Enterprise customers in a multitude of industry verticals • 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 industry-specific 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 prospect accounts

• Own our CI/CD systems end-to-end: audit the current state, redesign where needed, and drive measurable improvements in pipeline reliability, build/test cycle time, and overall developer experience within the first six months • Lead the adoption of standardized QE practices and testing frameworks across engineering teams, reducing inconsistency in coverage and establishing a shared standard for quality across the organization within your first year • Drive increased automation of QE processes using AI-assisted tooling (such as Claude, Codex, or Cursor), accelerating development velocity while maintaining rigorous standards • Lead, mentor, and grow a team of 1–3 Quality Engineers: supporting their technical development, career growth, and day-to-day effectiveness, with a goal of visibly improving team velocity and reducing defect escape rates • Partner closely with Engineering and Product to shift quality earlier in the development lifecycle, building a culture where defect prevention is prioritized over defect detection • Establish structured knowledge sharing and process documentation that enables the team to scale its impact beyond its headcount

• Engage deeply with the technical problems customers are trying to solve — taking the time to genuinely understand their workflows, constraints, and frustrations before proposing anything. The goal is always to find the best solution for the customer, not to fit them to a predetermined answer. • Design and run hands-on proof-of-concept projects tailored to each customer's environment: model development for drug discovery, clinical analytics pipelines, regulatory submission workflows, omics data processing, and similar use cases. • Work with account executives to design architectures that address life sciences-specific requirements around data governance, reproducibility, and validation (e.g., 21 CFR Part 11, GxP environments). • Proactively identify novel use cases within life sciences customers where Domino could create meaningful value — drawing on industry knowledge to surface opportunities that customers may not have considered and that go beyond the initial scope of an engagement. • Build and maintain reusable technical environments and assets that make future customer engagements faster and more substantive. • Partner with Customer Success and Solutions Architects to make sure customers who complete a POC are set up to succeed in production. • Build custom prototypes and applications on top of Domino for customers — using AI-assisted coding tools to move quickly — to demonstrate value in ways that go beyond standard demos. This reflects our directional shift toward Forward Deploy Engineering as a growing part of field work over the next 12 months. • Success is most visible when customers come away from technical engagements with a clear understanding of how Domino solves their problems — and when those engagements convert to production deployments.

• Develop deep understanding of your accounts, including: data science initiatives and how Domino solutions align to them, key stakeholders, competitors, partners • Open and maintain relationships with executives at the Director, Exec Dir, VP and C-level. Specifically, have natural text-message communications with at least 2-3 people • Uncover opportunities for the customer/prospect to use Domino software, set the selling strategy and execute on the sales cycle • Contribute meaningfully in building our Life Sciences business by generating $7.5m-$10m in pipeline by the end of FY27 • Close $2.5M+ of new ARR by the end of FY28 • Position Domino for success in the account by properly aligning our people to the customer. Specifically making it clear how product management, services, sales and executive leadership engage with the customer • Manage and communicate with the customer-specific ecosystem of partners and competitors

• Integrate model monitoring to provide a holistic view of deployment health and performance • Enhance tagging capabilities across Domino entities to improve discoverability and tracking • Expand LLM hosting capabilities to address customer needs for scale, performance, and logging • Innovate within our Domino Apps offering by incorporating feature requests from major customers

Content Marketing Manager Remote US 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, NetApp 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 Demand Generation is responsible for creating pipeline and managing all aspects of it — from the channels (email, digital, web, paid social) to the systems on which we build campaigns, and to the partnerships with our GTM teams, including Sales, RevOps, Customer Success, and Professional Services. This team connects strategy to execution to measurable pipeline outcomes. The Content Marketing Manager will own the words that power our demand engine as well as the system that produces them at scale. This is an editorial and production role for a performance-obsessed content marketer who operates like a producer: someone who can write a sharp 1,200-word SEO blog post and a five-word subject line, brief a freelancer to do either, and edit both to a publishable standard. You will work closely with vertical marketers, product marketing managers (PMMs) and channel owners to translate Domino's technical positioning into copy that educates, engages and converts and build the repeatable workflows that keep that content flowing. What your impact will be - Own the editorial calendar and drive consistent, on-time content production across blog, email, social and web properties - Write high-quality, performance-optimized copy for demand gen campaigns: email sequences, subject lines, landing pages, social ads and CTAs - Brief, direct and edit external contributors - freelancers, agencies and subject matter experts and manage quality and brand voice across all sources - Act as editor-in-chief for content from executives, sales and technical SMEs, shaping rough ideas and drafts into polished, on-brand assets without losing the original voice - Build and maintain editorial templates, content briefs and production workflows that allow the team to scale output without sacrificing quality - Develop SEO-optimized blog content and thought leadership that builds Domino's authority with data science and AI audiences - Partner with vertical marketers and PMMs to adapt technical messaging into audience-appropriate content for practitioners, data science leaders and business buyers - Copyedit and enforce brand voice consistency across all content to raise the bar on quality across the team's output - Measure and report on content performance across channels, iterating based on engagement, conversion and pipeline data - Support campaign launches with copy for all companion assets: nurture tracks, social promotions and event materials What we look for in this role - More than 3 years of B2B content marketing or copywriting experience, ideally in software as a service (SaaS) or a technical domain - Demonstrated editorial range: you write differently for a technical blog post than for a paid social ad, and you can brief someone else to do the same - Experience managing or editing external contributors such as freelancers, agencies or SMEs and a track record of raising output quality through editorial process, not just personal effort - Demonstrated ability to measure and improve content performance using data; you treat copy as a hypothesis to test, not a deliverable to ship and forget - Strong SEO fundamentals: on-page optimization and content planning for organic demand - Copyediting instincts and a sharp eye for brand voice, clarity and structure - Comfortable working in a fast-paced environment with multiple stakeholders and shifting priorities - Startup or high-growth experience a plus 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. 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. Compensation Range $110,000—$120,000 USD

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 The Automation Team at Domino acts as a force multiplier for engineering, building the tools and systems that enable teams to ship code confidently and consistently. A core part of this mission is Tempest, an in-house platform that orchestrates realistic, long-duration workloads against live Kubernetes clusters and validates the results against real observability data. Today, when scale testing surfaces a bottleneck, a resource misconfiguration, or a regression in system behavior, the team can identify and report the issue — but we need someone who can take the next step: profiling services, tracing root causes through Prometheus and New Relic data, and partnering with platform engineers to drive durable fixes. Focused on iteration and continuous improvement, the team looks for targeted enhancements that create outsized impact, and this role will close the gap between detection and resolution at the infrastructure level. What your impact will be In your first year, you will: - Serve as the technical owner of Tempest, Domino's scale and reliability platform, ensuring it remains reliable, extensible, and aligned with evolving infrastructure needs - Diagnose and drive resolution of performance bottlenecks and resource misconfigurations surfaced by scale testing — working directly with platform and infrastructure teams to ship fixes, not just file tickets - Deliver accurate, data-driven sizing recommendations for customer-facing documentation based on rigorous empirical testing across deployment sizes - Strengthen observability across scale testing by improving Prometheus and New Relic instrumentation, making it faster to pinpoint root causes during and after multi-day load runs - Establish and operationalize scale testing on cloud platforms, ensuring appropriate sizing and configuration guidance for this increasingly divergent product line - Partner with platform teams to enable effective scale and reliability testing across additional cloud providers, helping position Domino for future multi-cloud success - Increase the efficiency and leverage of a small team by building infrastructure automation that scales operationally as the product and customer base grow What we look for in this role - Background in SRE, platform engineering, or infrastructure with hands-on experience operating and troubleshooting distributed systems in production Kubernetes environments - Strong proficiency in Python and comfort working in a large, modular codebase that spans orchestration, infrastructure automation, and systems integration - Experience with observability stacks (Prometheus, Grafana, New Relic, or similar) — writing queries, building dashboards, and using metrics to diagnose performance and reliability issues at the systems level - Demonstrated ability to go beyond detection to resolution: profiling services, identifying resource bottlenecks, and working with engineering teams to ship durable fixes - Familiarity with performance and load testing methodologies (e.g., Locust, k6, or similar) as part of a broader infrastructure or reliability practice - Clear ownership mindset — self-directed, accountable, and able to communicate priorities and status effectively in a remote, async environment What we value - 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 - 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 #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. Compensation Range $185,000—$230,000 USD

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 The mission of the FSI Sales team is to position Domino as the single platform for data science across the enterprise and to support Domino’s expansion into the FSI vertical. Our main focus will be to meet senior leaders, uncover opportunities and complete a successful sales cycle. You will help Domino execute better at enterprise-level selling and to engage more senior stakeholders across Business & IT. What your impact will be - Build and manage a pipeline of 3-4x quota focused entirely on net-new FSI accounts, with particular emphasis on mid-market to enterprise financial institutions ($500M-$10B+ in assets/revenue) - Conduct deep account research and territory mapping to identify high-potential targets, understand their business challenges, technology stack, and competitive landscape, then develop targeted outreach strategies - Execute multi-channel prospecting campaigns including personalized outreach, executive engagement, event-based selling, and creative approaches to break into accounts where you have no existing relationships - Lead complex sales cycles from first contact through close including discovery, solution positioning, proof of concept/pilot coordination, proposal development, negotiation, and contract execution across 4-6 concurrent opportunities - Pipeline generation metrics: Maintain 3-4x coverage with specific activity benchmarks such as 30+ meaningful executive conversations per quarter, 20+ qualified opportunities created annually, and 15%+ pipeline-to-close conversion rate - Sales cycle efficiency: Average time-to-close of 12-15 months (faster than typical FSI cycles), measured from first meaningful conversation to signed contract, demonstrating ability to accelerate complex deals - Navigate procurement, security, and legal reviews within large financial institutions, managing vendor questionnaires, security assessments, contract redlines, and compliance requirements that can extend cycles by months What we look for in this role - 5-10 years sales experience, preferably selling Enterprise platforms into Financial Services (banking, insurance, asset management) - Understanding of Advanced Analytics space/ecosystem - Proven track record of net-new logo acquisition, ideally having built territory from ground zero or expanded into new verticals - Background navigating highly regulated sales environments including procurement processes, security reviews, vendor risk assessments, and compliance requirements specific to financial institutions - Experience managing complex, multi-stakeholder sales cycles of 9-18 months involving C-suite, business unit leaders, and technical evaluators across risk, compliance, operations, or technology functions - History of selling in an underdog/challenger position - coming from a startup, scale-up, or smaller player ($10m - $50m ARR) where you had to out-hustle larger competitors and couldn't rely on brand name alone 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