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Open nowPosted 7 hours ago

Senior Engineering Manager, DC Buying

Afresh11 open roles

Pay
$203,745 – $275,655 a year
Where
US
Work mode
Remote
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Your applicationOpen nowSenior Engineering Manager, DC BuyingAfresh · US

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Afresh postings stay open a median of 45 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 7 hours ago

Afresh median: 45 days open

The posting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineering Manager, DC Buying based in the United States.

This role offers the opportunity to lead engineering for an AI-powered distribution center buying product that helps grocery retailers make smarter purchasing decisions. You will own the engineering strategy and execution for a mission-critical platform used by buyers to determine what products to order, in what quantities, and when. By improving these decisions, your work will help keep store shelves stocked while reducing food waste across large retail networks. Working closely with Product, Design, Data Engineering, and Applied Science, you will drive a shared roadmap and deliver solutions that address real customer needs. You will lead and develop a senior engineering team while setting high technical standards and building a culture of ownership and innovation. This is an opportunity to combine technical leadership, customer impact, and meaningful environmental benefits in a fast-growing technology environment.

Accountabilities

  • Lead, hire, develop, and retain a high-performing team of senior product engineers, setting clear expectations, supporting career growth, and addressing performance issues effectively.
  • Establish and maintain strong technical standards by reviewing architecture, managing complexity, and making thoughtful decisions about technical debt.
  • Build strong relationships with engineering leaders across platform, data, and AI teams to leverage shared tools and capabilities.
  • Own the DC Buying product roadmap in partnership with Product, Design, and Applied Science, balancing customer requirements, technical investments, and business objectives.
  • Develop a deep understanding of customer workflows, business priorities, and the metrics that drive product adoption and customer satisfaction.
  • Set clear delivery commitments with internal stakeholders and customers, ensuring reliable execution and communicating potential delays early.
  • Translate broad objectives into actionable engineering plans with defined scope, sequencing, costs, and timelines.
  • Keep senior leadership and cross-functional partners informed of progress, challenges, and key decisions.
  • Take responsibility for product reliability, on-call health, and data quality to ensure a dependable experience for distribution center buyers.
  • Foster a collaborative engineering culture in which engineers and scientists take ownership of problems rather than simply completing assigned tasks.
  • Involve technical teams early in customer discussions and product discovery, working closely with Product and Design to develop effective solutions.
  • Encourage creative problem-solving and innovation to deliver products that improve customer operations and generate measurable business impact.
  • At least 8 years of experience in software engineering, including 3 or more years managing engineering teams.
  • Demonstrated experience developing, scaling, and supporting mission-critical products in production environments.
  • Broad technical expertise across multiple domains, including front-end development, back-end systems, data pipelines, and applied science.
  • Ability to engage in technical discussions across different disciplines while remaining open to learning new technologies and approaches.
  • Proven experience hiring, developing, and managing engineering talent, including handling performance management and building accountable teams.
  • Strong communication skills, with the ability to work effectively with stakeholders, executives, customers, and cross-functional partners.
  • Ability to navigate ambiguity and growth-stage challenges, adapt plans quickly when business or customer priorities change, and maintain team alignment.
  • Experience incorporating AI-native development practices into everyday engineering workflows and enthusiasm for advancing their adoption across the team.
  • Experience in supply chain, retail, or grocery technology, particularly in demand forecasting, replenishment, or inventory optimization.
  • Experience delivering forecasting, optimization, or recommendation products used by operational teams in their daily workflows.
  • Experience taking a product from early design partnerships through production deployment with enterprise customers.
  • Familiarity with technologies such as Python, TypeScript, React, GraphQL, Databricks, and Azure.
  • Annual U.S. base salary range of $203,745–$275,655.
  • Meaningful early-stage equity opportunities for U.S. employees.
  • Comprehensive medical, dental, and vision insurance for employees and their families, with the majority of premiums covered.
  • Mental health support and counseling services.
  • 401(k) retirement plan with a generous company match.
  • Flexible paid time off.
  • Home office stipend and coworking allowances for flexible workspace access.
  • Annual professional development budget to support continuous learning and career growth.
  • Monthly wellness and lifestyle stipends.
  • Monthly telecommunications stipend.
  • Flexible remote-work arrangements for employees residing in eligible U.S. states: Alabama, Arkansas, California, Colorado, Florida, Georgia, Illinois, Kentucky, Massachusetts, Michigan, Montana, Missouri, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, Texas, Washington, Utah, Virginia, and Wisconsin.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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