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Senior Manager, Applied AI Engineering
Ironwood Digital · Remote · Posted 1d ago
Available in 2 locations
Remote · remote Apply → Worldwide · remote Apply →About the role
About Ironwood Digital Ironwood Digital is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ironwood Digital System is a novel, point-of-care electroencephalography (“EEG”) platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement! Position Overview : The Senior Manager, Applied AI Engineering is a senior individual contributor role with broad ownership across Ironwood Digital's internal AI engineering portfolio. This person will carry projects from initial problem definition through production deployment, operating effectively under conditions of ambiguity and incomplete specification. The technical bar is high — this is first and foremost an engineering role — but the ability to engage at the business layer and translate between technical and commercial realities is equally non-negotiable. This role reports directly to the Director of Strategic Programs and Applied AI and works in close, ongoing collaboration with Engineering leadership. The successful candidate will direct external engineering contractors, partner cross-functionally with stakeholders across commercial, clinical, finance, and operations, and take on expanding ownership of the AI project portfolio as the function scales. What you'll do: Assume end-to-end ownership of AI engineering projects across the portfolio — from requirements definition through architecture, development oversight, and production deployment Design GCP infrastructure across all environments, in partnership with engineering: Cloud Run, IAM, VPC network isolation, CI/CD pipelines, secrets management, observability, and security controls Translate business requirements into technically precise specifications — and proactively challenge scope or approach when a stronger path exists Lead company-wide AI infrastructure rollout and upskilling initiatives, including training programs, office hours, super-user community development, and AI governance scaffolding Develop PRDs, architecture documents, and project scopes that enable contractors and engineering partners to execute independently Forecast build timelines and resource requirements across a portfolio of concurrent initiatives Direct and quality-review the output of external engineering contractors Identify and advance system-level improvements proactively — with a recommendation and a plan, not merely an observation Build documentation and operational foundations designed to scale beyond any individual project What We're Looking For: Required 8+ years of experience spanning software engineering, cloud infrastructure, and technical program or product management Active, daily use of LLM-based AI tools (Claude, Gemini, or equivalent) as a core part of your professional workflow — not familiarity, fluency Demonstrated ability to architect and own GCP infrastructure end-to-end, without external direction Proven capacity to move from an ambiguous problem statement to a structured technical plan independently Strong ability to engage cross-functional business stakeholders, identify the root of what they actually need, and translate that into technically sound specifications Experience writing PRDs, architecture documents, and detailed project scopes Bachelor's degree required; Master's degree strongly preferred Preferred Familiarity with mobile development constraints and cross-platform frameworks Experience with Salesforce integrations or CRM-adjacent technical work Experience directing or managing external engineering contractors or vendors Background in MedTech, health IT, or a regulated industry What Sets the Best Candidates Apart You leave every system, document, and process better than you found it — consistently, without being asked You bring fully-formed ideas and recommendations, not status updates awaiting direction You think in systems and design for scale, not just for the immediate ask You are genuinely invested in arriving at the best answer, and will push back — respectfully and constructively — when you believe a better one exists You are energized by fast-moving, resource-constrained environments where ownership is total and the problems are genuinely novel Compensation Range $177,000—$226,000 USD A candidate’s final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ironwood Digital’s corporate compensation plan. Note, the above description is not all-encompassing and Ironwood Digital reserves the right to change or modify job duties and assignments at any time. In addition to your base compensation, Ironwood Digital offers eligibl
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FAQ
Is the Senior Manager, Applied AI Engineering role at Ironwood Digital remote?+
This Senior Manager, Applied AI Engineering position is listed as remote (Remote).
What seniority level is this Senior Manager, Applied AI Engineering role?+
This is a senior level position.
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