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Director, Enterprise AI & Machine Learning Engineering

Instacart

LocationUnited States
SeniorityDirector
CompanyInstacart
Verification agingSep 29
Compensation

$301k-$331k

Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.

Requirements and working style

Decision details from the source listing

Schedule

unspecified

Benefits stated
New-hire equity grantAnnual equity refresh grantsBenefits offerings (details not specified)

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Instacart seeks a Director to lead engineering and machine learning strategy for enterprise agentic AI products, including building teams and delivering production solutions for retail partners. The role is remote within the United States. Published base-pay ranges vary by work location: $261,000–$275,500 in other states, $287,000–$303,000 in listed states, $301,000–$317,500 in Washington, and $313,000–$330,500 in California, New York, Connecticut, and New Jersey.

Role lane

Customer success, Data, Product, Software

Where you can work

United States

Working hours

Timezone overlap is not stated.

Arrangement

Director · full-time

Required signals
Agentic AI, generative AI, or machine learning products in productionEngineering, machine learning, data science, or applied science team leadershipMachine learning development practicesSoftware engineeringData systemsScaling AI applicationsTechnical strategy and prioritizationStakeholder partnership
Preferred signals
Agentic systemsLarge language modelsMachine learning platformsApplied machine learning at significant scaleRetail or commerce platformsEnterprise customer solutionsZero-to-one product development
Confirm before applying
  • Required timezone overlap is not stated
Market context

Customer success hiring on WFH.team

7,432active related roles
2,849new in the latest period
2580.6jobs per 100 candidates
$125kmedian of comparable listed ranges

This role's listed pay is above the median among 197 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.

Explore the remote job market
Skills and signals
Agentic AI, generative AI, or machine learning products in productionEngineering, machine learning, data science, or applied science team leadershipMachine learning development practicesSoftware engineeringData systemsScaling AI applicationsTechnical strategy and prioritizationStakeholder partnershipAgentic systemsLarge language modelsMachine learning platformsApplied machine learning at significant scaleRetail or commerce platformsEnterprise customer solutionsZero-to-one product developmentRemote within the United States; employees may choose to work from home, an office, or another location, with regular in
Job description

Director, Enterprise AI & Machine Learning Engineering at Instacart

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

Instacart’s Enterprise AI team is building the next generation of intelligent solutions for retailers. We are seeking a Director of Enterprise AI Engineering and Machine Learning to lead the development of agentic AI products that help retailers solve complex business challenges and unlock new opportunities.

In this role, you will work at the intersection of engineering, machine learning, data science, product, consulting, and forward-deployed engineering. You will partner directly with retailers and internal stakeholders to define ambitious opportunities, shape technical strategy, and deliver innovative solutions in a rapidly evolving, zero-to-one product environment.

This is an opportunity to help establish a new area of innovation at Instacart while leading teams through the full product development lifecycle—from identifying customer needs and exploring emerging technologies to building, deploying, and scaling production-ready AI systems.

About the job

  • Lead the engineering and machine learning strategy for agentic AI solutions designed to address the needs of Instacart’s retail partners.
  • Build, mentor, and inspire high-performing engineering and science teams, creating an environment that supports technical excellence, experimentation, and strong execution.
  • Partner directly with retailers, product leaders, consultants, data scientists, machine learning engineers, and forward-deployed engineers to translate complex business problems into impactful AI products.
  • Guide the development of systems that combine advanced machine learning, data, software engineering, and agentic capabilities, with an emphasis on reliability, scalability, usability, and measurable customer value.
  • Establish direction in a zero-to-one product space, balancing long-term technical strategy with the need to move quickly, learn from early deployments, and adapt to changing customer and business requirements.
  • Represent Enterprise AI across the organization, communicating tradeoffs, progress, risks, and opportunities to senior stakeholders and building alignment across technical and commercial teams.

You will be joining a fast-paced environment where the technology, customer needs, and product direction will continue to evolve. Success will require comfort with ambiguity, a willingness to engage deeply in both strategy and execution, and the judgment to make thoughtful decisions while building new capabilities from the ground up.

About You

Minimum qualifications

  • Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments.
  • Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery.
  • Experience partnering with product, business, customer-facing, and technical stakeholders to define requirements and deliver solutions to complex problems.
  • Strong understanding of machine learning development practices, software engineering principles, data systems, and the operational considerations required to scale AI applications.
  • Demonstrated ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment.

Preferred qualifications

  • Deep technical expertise in agentic systems, large language models, machine learning platforms, or related areas of applied artificial intelligence.
  • Experience delivering applied machine learning products at significant scale, including systems used by external customers or business partners.
  • Experience leading cross-functional initiatives that span engineering, machine learning, data science, product, consulting, and customer-facing teams.
  • Experience working directly with retailers, commerce platforms, or other enterprise customers to translate operational challenges into technology solutions.
  • A track record of creating clarity and momentum in zero-to-one product environments while maintaining high standards for quality, responsible development, and customer impact.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here .

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please rea d more about our benefits offerings here .

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ

$313,000 — $330,500 USD

WA

$301,000 — $317,500 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$287,000 — $303,000 USD

All other states

$261,000 — $275,500 USD

Company context

Working remotely at Instacart

Instacart is the North American leader in online grocery delivery.

Headquarters
United States and Canada
Team size
5000+
Founded
2012
Application process

Review current openings on Instacart's official careers page before applying.

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