Senior Engineering Manager / Platform Tech Lead

Build the AI workforce that finance can actually trust.

• Drive Engineering Best Practices: Champion and enforce engineering excellence, coding standards, and disciplined development processes (e.g., code reviews, testing, documentation) in the platform team and set the standards for other pods.
• Focus on Reusability & Reliability: Strategically guide pods to build solutions with an eye toward reusable components, scalable architecture, and long-term reliability. Identify common engineering challenges and drive solutions that benefit all customer projects.
• Architecture & Design Oversight: Provide technical guidance and participate in high-level architectural and design discussions to ensure solutions are robust, maintainable, and align with company standards.
• Strategic Technology Leadership: Continuously track and set the technical direction for emerging LLM and Agentic AI systems to ensure the platform maintains a competitive edge and remains at the forefront of industry innovation.
• Ensure Timely & High-Quality Delivery: Monitor project health, manage risks, and proactively remove technical and process roadblocks to ensure the timely and successful delivery of customer projects.
• Resource Allocation: Strategically allocate engineers to pods based on project needs, skill sets, and career development goals, optimizing overall team utilization.
• Process Improvement: Continuously evaluate and improve the pods' development lifecycle, from requirements gathering to deployment, to increase efficiency and quality of output.
• Cultivate a High-Performing Culture: Foster an inclusive, collaborative, and psychologically safe environment where engineers are productive, motivated, and happy.
• Mentorship & Coaching: Provide ongoing coaching, mentorship, and career development support to engineers, helping them set and achieve ambitious goals and grow their technical and soft skills.
• Performance Management: Conduct regular 1:1s, performance reviews, and provide constructive feedback to support the growth and accountability of team members.
• Hiring & Onboarding: Actively participate in the recruitment and successful onboarding of new engineering talent to scale the team effectively.

• Customer-obsessed: You’re comfortable interfacing with clients, unblocking deployments, and delivering value.
• Structured thinker: You can distill ambiguity into clear problem statements and action plans.
• Builder mindset: You thrive in zero-to-one environments and are comfortable wearing multiple hats.
• Lead from the front: You lead by example, designing architecture, building code, performing code reviews, and arbitrating decisions.

• 10+ years of experience in software development, with a strong background in building ML/AI platforms
• Experience building software that meets/exceeds high compliance, auditability, reliability standards
• Experience working in a customer-facing or consultancy environment where projects have hard deadlines and specific client requirements
• 5+ years of experience managing and leading engineering teams, preferably managing and prioritizing multiple simultaneous projects or teams
• Strong people manager / track record of managing engineers across levels over 3-5+ years
• Strong product delivery experience across many customers in enterprise over 4+ years at one place. 
• Proven track record of driving engineering best practices, code quality, and implementing initiatives focused on system reliability and component reusability
• Demonstrated ability to balance the demands of multiple projects and effectively manage priorities and expectations with both technical teams and non-technical stakeholders
• Excellent communication, interpersonal, and conflict resolution skills
• Experience with agile methodologies (Scrum, Kanban, etc.)

• Strong preference for manager of platform products (e.g, AI Platforms) vs. point solutions (e.g. Enterprise SaaS app)
•  - Mix of big company and startup experience
•  Experience in building AI products