Engineering Manager, Data Integrations

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.

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 to 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.

• 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

• 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.