Principal Engineer

| San Francisco, CA, USA | Remote | Hybrid
Employer Provided Salary: 286,000-346,500 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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Who we are

Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit

What we are building

Engineering Architect shoulders both technical and managerial responsibilities, acting as a liaison between the engineering team, Product Management and upper management while ensuring the successful execution of technical projects. This role demands a strong technical background, leadership skills, effective communication, and the ability to balance multiple priorities.

Help us unleash AI to address the world’s most important challenges by developing the platform and functionality to enable enterprises to scale AI in secure, regulated, complex environments.

What your impact will be

  • Strategic Vision: Translate knowledge of the state of the art in AI/ML into a vision for Domino capabilities that advance business goals. Distill industry trends and knowledge of customer use cases into new features that position Domino as leader in the AI/ML space
  • Product Roadmap: Collaborate with Product Leads to develop Product Roadmap, proposing key features/capabilities based on strategic technical vision
  • Technical Guidance: Providing technical expertise, guidance, and mentorship to the teams. This involves assisting team members in problem-solving, reviewing code, and ensuring adherence to best practices and coding standards. Enforce a strong alignment to the vision or define a path to achieve that vision
  • Architectural Decision Making: Evolve the Domino architecture and platform to best support the strategic vision for new projects/features, making informed decisions about technologies, frameworks, and tools to be used
  • Project Planning and Execution: Collaborating with engineering managers and stakeholders to define project scope, create timelines, and set realistic goals. Ensuring that technical objectives align with overall project goals and deadlines
  • Team Collaboration: Facilitating communication and collaboration within the team and across teams. Encouraging knowledge sharing, fostering a positive work environment, and resolving conflicts or issues that arise among team members
  • Code Reviews and Quality Assurance: Conducting regular code reviews to maintain code quality, readability, and scalability. Implementing or overseeing testing strategies to ensure robustness and reliability of Domino
  • Risk Management: Identifying potential risks and challenges in the project early on and taking necessary steps to mitigate them. This could involve assessing technical debt, scalability issues, or security vulnerabilities.
  • Stakeholder Interaction: Engaging with stakeholders, including key customers, to gather requirements, provide updates on technical progress, and address any technical concerns or queries they might have

What we look for in this role

  • Worked leading and defining the architecture of complex successful products
  • Deep expertise in AI/ML, the ecosystem, and experience working in similar or relevant products in the space
  • Worked on large teams and managed multiple dependencies to deliver ground breaking functionality 
  • Provided strong technical leadership, steering the product roadmap enabling new groundbreaking capabilities 
  • Have worked in complex highly regulated environments and understand the challenges imposed by those places and what are the tradeoffs we need to make to be successful 
  • Delivered complex products to the cloud and on-premise 
  • Data science and computer science background
  • Work in a dynamic environment managing multiple priorities
  • Curious mindset and quickly able to grasp new technologies 
  • Be able to think in a 3-5 year timeframe to define an architecture and domain model, and be able to lead the team's executions to make incremental progress
  • Be able to engage engineers, managers, product managers, leaders, executives and customers 
  • Strong leadership and can do attitude 
  • Strong product and customer first mindset
  • Strong understanding of the AI/ML, with a bread of tools and technologies in this rapidly evolving space
  • Excellent presentation and communication skills to target from engineer, data scientist and executive level audiences 
  • K8s, Cloud Native, AWS, Azure, GCP and on-premise
  • Domain Driven Design and strong design principles
  • Strong development experience in multiple languages like Java, Scala, Go, etc.

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


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

$286,000$346,500 USD

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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • GolangLanguages
    • JavascriptLanguages
    • PythonLanguages
    • ScalaLanguages
    • jQueryLibraries
    • jQuery UILibraries
    • ReactLibraries
    • FlaskFrameworks
    • Node.jsFrameworks
    • PlayFrameworks
    • SparkFrameworks
    • MongoDBDatabases
    • PostgreSQLDatabases
    • MixpanelAnalytics
    • BalsamiqDesign
    • InVisionDesign
    • PhotoshopDesign
    • SketchDesign
    • ConfluenceManagement
    • Google DocsManagement
    • JIRAManagement
    • MiroManagement
    • SanityCMS
    • HubSpotCRM
    • LinkedIn SalesNavigatorCRM
    • SalesforceCRM
    • 6SenseLead Gen


We're located in the SoMa district of San Francisco. Located near the CalTrain station and Oracle Park, there's a lot to do around the area!

What are Domino Data Lab Perks + Benefits

Volunteer in local community
Open door policy
OKR operational model
Team based strategic planning
Pair programming
Open office floor plan
Quarterly engagement surveys
Employee awards
Remote work program
Documented equal pay policy
Mandated unconscious bias training
Mean gender pay gap below 10%
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance + Wellness
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Wellness programs
Mental health benefits
Financial & Retirement
Company equity
Employee stock purchase plan
Pay transparency
Child Care & Parental Leave
Childcare benefits
Generous parental leave
Family medical leave
Company sponsored family events
Vacation + Time Off
Unlimited vacation policy
Paid holidays
Paid sick days
Flexible time off
Office Perks
Commuter benefits
Company-sponsored outings
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Pet friendly
Recreational clubs
Fitness stipend
Home-office stipend for remote employees
Onsite gym
Professional Development
Job training & conferences
Lunch and learns
Promote from within
Continuing education stipend
Continuing education available during work hours
Online course subscriptions available
Customized development tracks
Paid industry certifications

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