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Engineering Manager, Data Integrations

San Bruno, California

Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into valuable resources, including chicken feed. Tens of thousands of Mill’s residential food recyclers are already helping households divert millions of pounds of food scraps every year, paving the way for our upcoming launch of Mill Commercial—the industry’s first end-to-end solution for managing, understanding, and preventing food waste in commercial environments (e.g. grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use, beautifully designed technologies that keep food in the food system and out of landfills.

About the Role

We're hiring a Senior Engineering Manager to lead Data Integrations at Mill. This role sits at the center of our B2B strategy: you'll own the systems that integrate Mill into our customers' enterprise environments — ERP systems, business applications, internal tools — so that we can combine our food waste estimates with their internal data and use AI to deliver actionable recommendations on how they can reduce waste.

You'll be hands-on technically — designing multi-tenant APIs, building integration pipelines, writing code — while also engaging directly with customers, driving technical partnerships, and managing a team of engineers. You'll use LLMs to accelerate integration development and unlock insights from customer data. This is a senior leadership role that demands genuine technical depth, hands-on ownership, and direct customer engagement.

What You'll Own

Customer System Integration. Design and build the integration layer between Mill and our B2B customers' enterprise environments — connecting to their ERP systems, business applications, and internal tools to pull operational data — purchasing, inventory, consumption patterns, and more. You'll combine that data with Mill's food waste estimates to power AI-driven recommendations that help customers reduce waste. You'll need xto deeply understand how enterprise customers operate and what their systems require.

Multi-Tenant API Platform. Architect and operate enterprise-grade APIs for data exchange with customers — including RBAC, tenant isolation, webhooks, and reverse ETL pipelines. You'll own reliability, SLAs, and the developer experience for our partners.

LLM-Accelerated Development. Use large language models to accelerate how we build integrations, automate data mapping across disparate customer systems, and extract actionable insights from customer data. This is a core part of the role, not a side project.

Data Contracts & Governance. Own schema governance, API versioning, and data contracts across integration touchpoints. As we scale B2B relationships, this becomes critical.

Security & Compliance. Ensure data security across the integration layer: tenant isolation, RBAC, encryption, audit logging, and alignment with SOC 2, GDPR, and CCPA.

Customer Onboarding & Technical Partnerships. Be the senior technical face for B2B customers. Scope integration requirements, define data contracts, manage delivery timelines, and build long-term trust.

What We're Looking For

  • 10+ years in data engineering, platform engineering, or integration-heavy backend roles, with 3+ years managing engineers
  • Deep experience integrating with enterprise customer systems — ERP platforms, business applications, and third-party environments
  • Strong background in multi-tenant API design, data pipelines, and integration architecture
  • Experience integrating with multiple enterprise ERP and business systems (e.g., NetSuite, SAP, Oracle) — either through iPaaS platforms like Boomi/MuleSoft or through custom-built integration layers. You understand the data mapping, normalization, and error handling challenges that come with connecting to many different customer environments
  • Hands-on experience using LLMs to accelerate development workflows, automate data mapping, or build intelligence into integration pipelines
  • Strong instincts around data contracts, schema governance, versioning, and API design at scale
  • Proven ability to work directly with B2B customers — scoping requirements, running onboarding, and managing technical relationships
  • Comfortable context-switching between writing code, reviewing architecture, managing people, and talking to customers

Nice to Have

  • Experience in food service, hospitality, retail, or other industries with high food waste relevance
  • Experience with EDI transaction sets (850/855/856/810) or retail partner data exchange
  • Background in hardware + software or IoT companies
  • Experience with ML/CV data pipelines
  • SOC 2 Type 2 compliance experience
  • Familiarity with data orchestration tools (Airflow, dbt, Spark)

The estimated base salary range for this position is $245k to $270k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

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