Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.  

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

As Latitude’s Data Platform team, our mission is to build the scalable, high-performance infrastructure that turns structured data into insight to drive Latitude’s business forward. We provide foundational solutions for handling, processing and visualizing large-scale data to ensure every team at Latitude—from Autonomy to Machine Learning to Fleet Operations—can measure what matters.

We promote Data as a Product; this means applying rigorous software engineering discipline to data assets: versioning, public/private interfaces for data models, and a relentless focus on automated testing. To scale these principles across our org, we design self-service systems that prioritize continuous, iterative delivery, developer velocity, cost transparency and efficiency by default.

What you’ll do: 

In this role, you will help build and evolve:

• A High-Performance Cloud-Native Stack: Work with a blend of serverless cloud analytics tools and self-hosted Kubernetes deployments to serve a diverse range of internal stakeholders
• Abstracted Data Frameworks: Develop internal tooling that enables engineers to self-serve data loading and testing. You’ll work on systems capable of handling high-throughput, low-latency streaming and massively parallel bulk loads scaling to hundreds of terabytes daily, with robust support for generic and customer-defined data unit and integration testing and monitoring. You’ll work closely with teams such as Latitude’s Autonomy Analytics team, among many others, to understand and generalize platform feature needs and provide guidance/documentation on usage
• Open Source & Custom Tooling: We deploy and scale industry-leading data engineering and analytics tools. We lean into the open-source ecosystem, deploying and extending OS solutions such as dbt, Airflow and Superset to serve Latitude’s unique autonomy and ML use cases
• A Rich Metadata Layer: Provide the automation and cataloging tools that serve as the backbone for discovery and tracing. You will play a key role in enabling a well-documented data front ready for both human exploration and LLM/RAG-based consumption

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience, Master's degree, or PhD
• Software Craftsmanship: Strong Python development skills with a focus on SOLID design principles. You have experience managing the full lifecycle of internal packages, from intake and design to release and maintenance.
• Cloud & Infrastructure: Experience managing cloud infrastructure via Infrastructure as Code (IaC). You should be comfortable with Docker, Terraform, Kubernetes, Helm, and observability via Grafana or similar.
• Data Fluency: Understanding of SQL and OLAP concepts. You are familiar with the architecture of Massively Parallel Processing (MPP) systems (e.g., BigQuery, Redshift, or ClickHouse) and understand how to optimize for both performance and cost. Experience with dbt is a plus.
• Distributed Orchestration and Streaming: Familiarity with data orchestration tools (e.g., Airflow, Dagster) and a conceptual understanding of distributed stream processing (e.g., the Apache Beam model). You should understand challenges like watermarks, stateful processing, and temporal consistency.
• The "Internal Customer" Mindset: You are a product-minded engineer. You have the empathy to understand the pain points of your fellow engineers and the drive to build tools that are actually useful. You maintain a high bar for quality while prioritizing high-impact delivery.

Bonus Points:

• Automated Release Engineering: A standard-bearer for CI/CD excellence. You understand how to build robust Jenkins or GitHub Actions pipelines that automate testing, linting, and deployment, ensuring a high-velocity but safe development environment.
• Privacy & Security by Design: Experience with end-to-end security and isolation. You understand the importance of least-privilege access, service account management, and automated data anonymization/governance.

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $150,320 - $225,480 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

Why you'll love this role

StockX is seeking a Vice President of Product to lead the strategy, vision, and execution for our global Product and Product Design organizations. This executive will shape the future of our marketplace experience across Buyer, Seller, and operational journeys, owning cross-company product outcomes and driving high-impact, customer-centric innovation.

The VP will set long-term product strategy, align multi-product roadmaps to business goals, and ensure exceptional customer experiences across all platforms. Success requires deep e-commerce expertise (required), strong marketplace experience (preferred), and a proven ability to influence senior leaders, drive alignment, and deliver measurable business impact at scale.

The best candidate for this role will also play a critical part in defining how AI and emerging technologies are leveraged to accelerate product innovation, improve decision-making, and unlock new customer and business value.

What you'll do

• Strategic Leadership & Product Vision
  • Anticipate customer needs, market shifts, competitive dynamics, and emerging technologies, including AI-driven product opportunities.
  • Define and lead a multi-year product vision aligned to company strategy and customer insights.
  • Shape a unified product portfolio across multiple product lines and prioritize at the enterprise level.
  • Balance the roadmap and strategic priorities to align with strong buy- and sell-side constituencies.
• Organizational Leadership
  • Lead and develop leaders across Product Management and Product Design.
  • Build a high-performance, outcomes-driven culture grounded in accountability, data fluency, and customer obsession.
  • Foster a culture of experimentation and continuous learning, including responsible adoption of AI-enabled workflows and tools.
  • Ensure clear priorities, ownership, and effective execution amid ambiguity
• Cross-Functional Influence
  • Align senior leaders across Operations, Engineering, Marketing, Finance, Legal, and business units on product strategy and goals.
  • Partner closely with Engineering and Data teams to translate new technologies into scalable, customer-facing product capabilities.
  • Drive clarity around execution plans and ensure a direct line from strategy to outcomes.
  • Communicate effectively with VP, C-suite, and Board audiences through clear storytelling and data-backed recommendations
• Customer & Business Impact
  • Ensure decisions reflect deep understanding of global customer needs.
  • Champion an outcome-focused product methodology grounded in experimentation, research, and A/B testing. 
  • Own the product organization’s contribution to growth, conversion, liquidity, trust, retention, and profitability.
  • Leverage advanced analytics and intelligent systems to enhance personalization, discovery, pricing, trust & safety, and operational efficiency
• Execution & Delivery
  • Oversee end-to-end execution across multiple product lines with consistent quality and measurable results.
  • Streamline ways of working to support clear prioritization and fast, coordinated delivery.
  • Partner with Design, Analytics, and Customer Research to ensure cohesive, intuitive customer experiences.
• AI & Emerging Technology Leadership 
  • StockX is looking for a product leader who is forward-thinking and proactive in leveraging AI as a core product capability and a productivity force multiplier, not just a supporting tool.
  • Bring demonstrated experience building or evolving products that leverage AI, machine learning, or large language models (LLMs) to deliver meaningful customer or business outcomes.
  • Hands-on or strategic experience with LLM-powered product development, including tools and platforms such as Opus, Codex, or comparable AI systems, and an understanding of how to integrate them into real-world product workflows.
  • Identify opportunities where AI can meaningfully improve customer experience, internal efficiency, trust, personalization, discovery, or decision-making.
  • Partner with Engineering, Data Science, and Legal teams to ensure AI-driven products are scalable, secure, ethical, and compliant.
  • Stay ahead of industry trends in AI and emerging technologies, translating what’s possible into pragmatic, high-impact product strategies.
  • Act as an internal thought leader, helping the organization understand how AI changes product development, team workflows, and competitive advantage.

About you

• Experience
  • 10+ years in Product Management; strong track record building consumer-facing products.
  • 5+ years managing people, including leaders; experience running multi-disciplinary product and design teams.
  • E-commerce experience required.
  • Marketplace experience highly desired (liquidity dynamics, supply/demand, trust & safety).
  • Prior VP-level (or equivalent) leadership in high-growth, high-complexity environments.
  • Experience leading or partnering on AI-driven or data-intensive products strongly preferred
• Skills & Competencies
  • Demonstrated ability to influence across product lines and business units at senior levels.
  • Mastery of long-term product strategy across multiple domains.
  • Strong understanding of customer journeys, behavioral insights, and product economics.
  • Deep fluency in data-driven decision-making and experimentation.
  • Ability to evaluate and apply emerging technologies - including AI - through a customer- and value-first lens.
  • Exceptional communication and alignment-building skills.
  • Proven ability to attract, retain, and develop top product and design talent
• Leadership Behaviors
  • Leads across multiple product areas with broad organizational impact.
  • Provides clarity and direction amid ambiguity; sets long-term strategic direction.
  • Owns outcomes and KPIs across domains.
  • Influences company-wide prioritization and strategic shifts.
  • Represents Product internally and externally as a thought leader, including on the responsible and innovative use of AI

Pursuant to the various pay transparency laws/acts, the pay range is $250,000 to $300,000 annually, plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation is dependent on geography and may vary.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.