What you get to do
Collaborate directly with team members to understand business processes, difficulties, and success criteria; and proactively uncover new opportunities to implement digital solutions.
Own the full lifecycle of prototypes and production solutions, from discovery and prioritization through build, deployment, and post-launch iteration.
Build prototype solutions to validate approaches and accelerate discovery.
Use knowledge in AI and machine learning to recommend approaches where AI can generate measurable business impact for interested parties.
Bring external innovation to internal problems.
Identify and resolve bugs in prototypes while optimizing code for performance and scalability.
Provide technical mentorship and support throughout implementation, including resolving issues, optimization, and adoption support.
Contribute to software build and architecture, ensuring scalability and reliability in line with team goals.
Ensure adherence to guidelines and coding standards through code reviews.
Develop and maintain technical documentation, implementation playbooks, and reusable assets to accelerate future deployments.
Risk, security, and compliance leadership: Guarantee that implementations meet DIG's security protocols, data management criteria, and AI governance standards.
Travel up to 50% of the time to portfolio locations, mainly stationed at a particular site to speed up solution implementation (domestic US travel only).
Other responsibilities as assigned.
What you bring to the Team
3+ years of software engineering, solutions platform delivery or technical implementation experience, ideally in customer-facing contexts.
Experienced in programming languages such as Python or similar, with a strong understanding of APIs and systems integration.
Ability to rapidly understand unfamiliar technical ecosystems and workflows and build integration paths.
Excellent communication skills. Confident translating for both technical and non-technical collaborators.
High ownership approach with comfort operating independently, navigating ambiguity.
Demonstrated experience working with enterprise customers; particularly in manufacturing, quality, engineering services, or supply chain operations.
Experience with LLMs, generative AI pipelines and agent-style automation frameworks (agent workflows, tool orchestration, retrieval-augmented generation).
Prior consulting, technical solution engineering or internal tools engineering experience.
Demonstrated experience leading complex customer deployments involving cloud infrastructure, identity/SSO, data access, and integration with enterprise systems.
Proven ability to establish standards and operating rhythm (playbooks, quality gates, blocking issue models, delivery targets) across distributed teams.
Executive-level collaborator management: able to communicate with senior collaborators; adept at navigating ambiguity and driving decisions.
Ability to travel 25% of the time, with extended periods embedded at specific collaborator sites.
Preferred Qualifications
Solid engineering foundation. Desired areas of study include, though are not restricted to, Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning.
Familiarity with enterprise ecosystems such as Snowflake, Atlassian suite of tools, and common integration approaches.
Background in regulated industries and governance-heavy environments (auditability, privacy, retention).
Ability to operate autonomously, thrive under ambiguity, and represent DIG at the highest level in customer environments.
Experience partnering with product teams on platformization (turning custom work into reusable product capabilities).
Prior enterprise delivery leadership experience driving multi-workstream execution, program governance, and executive steering across complex collaborator environments.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
The base salary range for this position is $120,223.00 – $180,334.00 per year. This range represents the Company’s good faith estimate of the base compensation for this role at the time of posting. Actual compensation will be determined based on several factors, including but not limited to relevant experience, skills, qualifications, internal equity, and geographic location. In addition to base salary, this role may be eligible for annual incentive compensation and/or long-term incentives, subject to Company plans. The Company offers a comprehensive benefits package including medical, dental, vision, retirement, paid time off, and other benefits.
The BIG payoff
We are a company who is going to make a difference in the industries and the communities in which we choose to operate.
Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company!
We want to work with people that reflect the communities in which we operate
Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.
Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.
