• Lead the architecture and governance of Lime's enterprise AI ecosystem, developing a secure "Hub-and-Spoke" model for business units to safely deploy AI solutions. • Design and engineer initial high-impact pilot use cases, including tools to accelerate month-end financial close processes and AI engines to parse complex city RFPs. • Drive AI Enablement & Adoption: Design and execute a comprehensive internal training program and enablement strategy to ensure Limers are effectively utilizing approved GenAI tools. • Partner with our Engineering team to maintain secure, air-gapped Isolated Exploration (Sandbox) environments to enable safe experimentation across Lime. • Scale Continued Education: Build and maintain an internal repository of AI best practices, curated prompt libraries, and specialized training modules tailored to different departments. • Measure Impact: Define and programmatically track key adoption and efficiency metrics, proving the ROI of our AI investments through baseline time-to-task comparisons. • Partner closely with Identity & Access Management and Security teams to govern "Agent" access across functional systems and eliminate "shadow AI" risks.

• Lead the architecture and governance of Lime's enterprise AI ecosystem, developing a secure "Hub-and-Spoke" model for business units to safely deploy AI solutions. • Design and engineer initial high-impact pilot use cases, including tools to accelerate month-end financial close processes and AI engines to parse complex city RFPs. • Drive AI Enablement & Adoption: Design and execute a comprehensive internal training program and enablement strategy to ensure Limers are effectively utilizing approved GenAI tools. • Partner with our Engineering team to maintain secure, air-gapped Isolated Exploration (Sandbox) environments to enable safe experimentation across Lime. • Scale Continued Education: Build and maintain an internal repository of AI best practices, curated prompt libraries, and specialized training modules tailored to different departments. • Measure Impact: Define and programmatically track key adoption and efficiency metrics, proving the ROI of our AI investments through baseline time-to-task comparisons. • Partner closely with Identity & Access Management and Security teams to govern "Agent" access across functional systems and eliminate "shadow AI" risks.

• Design, develop, and test Mule 4 applications using API-led connectivity. • Build, enhance, and support RESTful and event-driven integrations using RAML/OpenAPI, DataWeave, and MuleSoft connectors. • Develop integrations supporting utility systems such as customer information systems (CIS), outage management, work management, billing, and regulatory reporting platforms. • Implement secure integrations in compliance with PG&E cybersecurity standards. • Ensure high availability, resiliency, and scalability appropriate for a regulated public utility environment. • Prepare and execute unit, integration, and regression testing using MUnit and automated testing frameworks. • Support end-to-end delivery through development, system testing, user acceptance testing (UAT), and production readiness. • Contribute to and follow PG&E-approved CI/CD pipelines using enterprise version control and automation tools. • Provide Level 2/3 support for production MuleSoft integrations supporting mission-critical utility operations. • Create and maintain comprehensive technical documentation, including API specifications and integration design documents.

Who We Are: Datassential is a leading global intelligence platform for the food and beverage industry. Leveraging billions of data points and cutting-edge AI, we provide a suite of innovative solutions that empower more than 90% of the world's largest food and beverage brands to develop, market, and sell their products more effectively. Based in Chicago, USA, Datassential has expanded its global reach through strategic acquisitions of CHD Expert (France) in 2022 and Brizo Data, Inc. (Canada) in 2025. In 2024, we secured investment from top-tier private equity firms New Mountain Capital and Endicott Capital—a milestone that fuels our accelerated product roadmap and strengthens our research and development, enabling us to deliver even greater value to our clients. Our remote-first, globally distributed team thrives on diverse perspectives and deep expertise in the food and beverage space. Food brings people together—and at Datassential's table, there's room for everyone. What We Need: As a Senior Engineer, you'll be the technical heartbeat of our most strategic customer relationships. You won't just hand customers documentation and wish them luck—you'll embed yourself in their workflows, understand their data and automation needs at a deep level, and architect the integrations that unlock the full power of Datassential's platform. This role is equal parts engineer and trusted advisor. You'll work side by side with food manufacturers, distributors, operators, and enterprise accounts to design, build, and optimize integrations that connect Datassential's intelligence into their existing tools and AI-powered product ecosystems. When a customer's workflow changes, you evolve with them. You'll also serve as a critical feedback loop between customers and Datassential's product and engineering teams—surfacing patterns, gaps, and opportunities that shape the future of our platform. Who You Are: You are a technically exceptional, customer-obsessed engineer who sits at the intersection of product and partnership. You bring: - Strong proficiency in Python and JavaScript/TypeScript software languages. - Hands-on experience building and consuming REST APIs, webhooks, and streaming data interfaces. - Experience with Applied AI, MCP (Model Context Protocol) and/or A2A (Agent-to-Agent) integration patterns. - Experience designing integration architectures across heterogeneous enterprise environments (CRMs, ERPs, data warehouses, AI platforms) - Comfort working with JSON, data transformation, authentication protocols (OAuth 2.0, API keys, JWT), and cloud infrastructure - Ability to write scripts, lightweight automation, and configuration tooling that customers can maintain themselves - Genuine passion for customer success—you feel ownership over whether integrations actually work, not just whether they were set up - Ability to communicate complex technical concepts clearly to both engineering teams and non-technical business stakeholders - Strong project management instincts: you can juggle multiple customer engagements simultaneously without dropping the ball - A consultative mindset—you ask good questions, listen carefully, and design solutions around real customer needs rather than assumptions - Comfort presenting technical architectures and leading discovery conversations at the VP and C-suite level when needed What You Will Do: - Partner with enterprise customers during onboarding and beyond to understand their technical environments, data workflows, and automation goals - Design and implement end-to-end integration solutions using Datassential's MCP, A2A, and REST API infrastructure - Help customers connect Datassential's F&B intelligence into their internal platforms, CRMs, data pipelines, AI agents, and enterprise tools - Write clean, well-documented integration code, scripts, and configuration resources to accelerate customer time-to-value - Lead technical discovery sessions, integration workshops, and architecture reviews with customer engineering and data teams - Proactively identify integration bottlenecks and performance issues—and fix them before customers notice - Develop reusable integration templates, playbooks, and guides that help scale deployment across the customer base - Collaborate closely with Datassential's Product and Engineering teams to translate customer needs into platform improvements - Act as a technical escalation point for complex integration issues, working through solutions end-to-end with customers - Track customer integration health, usage patterns, and expansion opportunities alongside the Account Management team - Travel to customer sites as needed to lead onboarding sessions, integration workshops, and executive reviews—building the kind of trust that only comes from being in the room What You Bring: - Strong software engineering skills in frontend and backend. - Familiarity with AI agent orchestration frameworks or enterprise AI tooling - Experience contributing to developer documentation, SDKs, or integration guides - Prior experience as a Forward Deployed Engineer or similar role at a SaaS company is a plus - Experience in the food and beverage, restaurant tech, or CPG industry is a plus Compensation & Eligibility: This role is open to candidates currently residing in and authorized to work in the United States. Final offer will be determined by several factors including experience, skills, interview performance, location etc. Salary base range for this role will be $165,000 – $185,000 USD/year. US Benefits - Competitive salary plus eligibility for a performance-linked annual bonus plan. - Affordable Medical, Dental, and Vision Insurance, including a no cost employee-only plan - Paid parental leave - 401K with dollar-for-dollar company match up to 5% - Unlimited PTO, recharge days, and Christmas through New Year break - 100% business travel reimbursement - Wellness Reimbursement or HQ Gym access - Remote stipend for 100% remote roles. Our Table Welcomes All. We embrace diversity of both background and thought and foster an inclusive environment that extends an open landscape of opportunities to everyone. We invite each of us to simply be ourselves. We operate with respect and without judgment, celebrating both the power of the individual as well as our shared humanity. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact careers@datassential.com. Datassential is an equal opportunity and E-Verify employer