• Act as subject matter expert and lead on the most complex contracting and relationship processes for major federal and high-value clients, including the Administrative Office of the Courts, Department of Justice, IRS/Treasury, Department of Homeland Security, and New York Courts. • Contribute to the success of an assigned book of business by driving client satisfaction, retention, and long-term account growth. • Develop and implement strategies to ensure compliance with federal regulations and customer requirements. • Collaborate with cross-functional teams to align contracting strategies (cooperative agreements, MSAs). • Work cross functionally with the procurement team to advise on their overall process and strategic deals. • Communicate with General Counsel and cross-functional teams on AI requirements as they continue to evolve.

• Serve as a senior technical authority and thought leader on HMIS architecture, HUD data and reporting standards, privacy and security requirements, and system interoperability. • Shape and influence organizational and client strategies related to data systems, performance measurement, and data use across homelessness response systems. • Lead the design of scalable, reusable data solutions that support federal reporting (e.g., LSA, SPMs, APRs, PIT/HIC) while enabling advanced analytics and local innovation. • Provide consultative leadership to clients, funders, and senior stakeholders on complex HMIS and data-system challenges, influencing decisions in sensitive or high-impact contexts. • Interpret, operationalize, and advise on HUD HMIS Data Standards, CSV/XML specifications, federal reporting logic, data quality frameworks, and comparable database requirements. • Design validation rules, data quality automation, and compliance monitoring processes that improve completeness, accuracy, timeliness, and consistency of HMIS data. • Guide governance structures and policies related to data sharing, privacy, security, consent, and ethical data use. • Mentor HMIS Leads, System Administrators, and data teams on advanced implementation practices and emerging standards. • Lead development of custom data pipelines, integrations, and automation using programming and scripting languages (e.g., SQL, Python, R, JavaScript) to streamline reporting and analysis. • Design and implement data transformations, APIs, and automated workflows for HMIS exports/imports, cross-system data exchange, and real-time dashboards. • Apply advanced analytical methods—including disaggregated equity analysis, longitudinal analysis, and system modeling—to inform policy, funding, and performance decisions.

• Lead and develop a high-performing Workforce Optimization team, including performance management, coaching, and succession planning. • Define and execute enterprise workforce strategies, including labor planning, forecasting, and capacity optimization across multiple locations. • Oversee and evolve workforce modeling methodologies, ensuring accuracy, scalability, and alignment to business needs. • Drive data-driven decision making by synthesizing trends, performance metrics, and financial data into actionable insights for executive leadership. • Partner cross-functionally with Operations, Finance, Revenue Management, and Continuous Improvement to align workforce strategies with enterprise priorities. • Establish and monitor labor performance frameworks, including productivity, cost management, and workforce KPIs. • Lead workforce planning support across multiple FBO locations, including hiring strategies, scheduling optimization, and labor cost management. • Identify and remove operational barriers while driving innovation, automation, and continuous improvement within workforce processes. • Deliver executive-level presentations and strategic recommendations, clearly communicating workforce insights and business implications. • Influence senior stakeholders and lead complex organizational change initiatives related to workforce optimization and labor strategy.

Opportunity Overview: We're looking for a Senior Manager, AI who can lead and grow a high-performing engineering team with a strong product mindset. You'll own outcomes end-to-end - from the cohesive data layer and semantic foundations to the intelligent platform and agents serving health insurance plans covering over 15 million people. You'll partner closely with Product, Data Science, and Clinical Operations to build and scale capabilities that directly impact patient access and operational efficiency. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: - Team Leadership: Lead, manage, and grow a distributed engineering team, fostering technical excellence, accountability, and a culture of mentorship and continuous improvement. - Platform Strategy: Own the technical strategy and roadmap for Cohere's AI platforms, applications, and agents, partnering with Enterprise Architecture to deliver scalable, reliable, and observable systems. - AI & Data Architecture: Design data, retrieval, and semantic architectures that provide AI agents with accurate, contextual information across complex healthcare data sources. - ML Platform Engineering: Drive architecture for model serving, inference optimization, and production AI systems while establishing MLOps best practices for deployment, monitoring, experimentation, and performance. - Cross-Functional Leadership: Partner with product, ML, data science, and architecture teams to translate business needs into scalable technical solutions. - Engineering Excellence: Drive agile delivery, define engineering quality and reliability metrics, and champion operational excellence, security, and HIPAA-compliant platform design. What you’ll need: - 10+ years of software engineering experience, including 3+ years leading and developing high-performing engineering teams. - Experience building and scaling production AI-powered applications and platforms, with expertise in machine learning infrastructure, model deployment, and operational excellence. - Strong experience designing scalable data architectures and distributed systems that support intelligent applications. - Strong software engineering fundamentals with experience building cloud-native applications using modern programming languages and infrastructure tooling. - Proven ability to define technical strategy, establish engineering best practices, and influence technical direction across multiple teams. - Excellent cross-functional leadership skills with experience partnering closely with Product, Data Science, Clinical, and Architecture teams. Healthcare experience is a plus. - Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flex Time Off + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance  The salary range for this position is $220,000 to $245,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - System Design Exercise - Technical Discussion - Cross Functional Interview *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote