Technical Program Manager – Agentic AI Platform

About Ema

Ema is redefining how work gets done by building the next generation of agentic AI technology that empowers every employee to be their most creative and productive. Our Universal AI Employee automates repetitive tasks, enabling enterprises to focus on strategic initiatives.

Founded by ex-Google, Coinbase, and Okta executives and backed by the world's top investors and angels, Ema is well-positioned to revolutionize enterprise productivity. We are headquartered in Silicon Valley, with a growing team in Bangalore. Our hybrid work environment encourages innovation and collaboration across geographies.

Role Overview

As a Technical Program Manager (TPM) at Ema, you will orchestrate the delivery of complex, cross-functional initiatives that power our agentic AI platform. You'll partner closely with Engineering, Product, and AI Application teams to ensure timely, high-quality execution of programs that enable scalable, reliable, and impactful AI solutions for our enterprise customers.

This role requires a strong technical background, exceptional program management discipline, and the ability to operate at both strategic and executional levels. You'll connect dots across teams, manage dependencies, and drive clarity amid ambiguity—ultimately ensuring that Ema's AI workflows and platform capabilities evolve efficiently and effectively.

Key Responsibilities1. Program Planning & Execution

• Lead end-to-end delivery of technical programs, from requirements definition and scoping to launch and post-deployment optimization.

• Translate product strategy into actionable execution plans with clear milestones, success criteria, and measurable outcomes.

• Build and manage cross-functional execution plans involving Engineering, Product, AI Application Engineering, and Data Science.

• Anticipate and mitigate program risks, proactively identifying blockers and aligning teams toward solutions.

• Ensure all deliverables meet quality standards, scalability, and enterprise readiness criteria.
  

2. Cross-Functional Leadership

• Act as the connective tissue across Product, Engineering, and Go-To-Market functions.

• Drive clarity and alignment across teams by facilitating structured communication, sprint planning, and program status reporting.

• Define and improve processes for program execution, issue tracking, and dependency management.

• Foster accountability and transparency through structured program dashboards, KPIs, and progress reviews.
  

3. Technical Depth & Problem Solving

• Partner with engineering teams to understand system architecture, technical constraints, and integration challenges.

• Break down complex AI platform initiatives into manageable workstreams and clear technical deliverables.

• Identify opportunities for automation, efficiency, and scalability across Ema's agentic AI platform.

• Support incident management, root cause analysis, and continuous improvement efforts.
  

4. Stakeholder Communication & Reporting

• Provide executive-level updates on program status, risks, and mitigations.

• Communicate technical concepts clearly to both technical and non-technical stakeholders.

• Manage expectations across diverse stakeholders—balancing delivery urgency with long-term technical vision.
  

5. Continuous Improvement & Scaling

• Drive operational excellence by defining and refining program management frameworks.

• Lead retrospectives and post-mortems to capture learnings and improve delivery velocity.

• Mentor junior PMs or cross-functional leads in structured program delivery methods.
  

Required Skills & Qualifications

• 10+ years of experience in Technical Program Management, Engineering Program Management, or equivalent roles within Enterprise SaaS, AI, or automation platforms.

• Proven ability to lead large, cross-functional technical initiatives from concept to completion.

• Strong understanding of cloud platforms (AWS, GCP, Azure), APIs, and enterprise system integrations.

• Experience with agile methodologies, sprint planning, and backlog prioritization.

• Excellent stakeholder management, communication, and presentation skills.

• Demonstrated ability to work with engineering teams on AI or data-driven systems.

• Strong analytical mindset with the ability to make data-driven decisions.

• Startup experience and comfort with fast-moving environments are highly desirable.
  

Why Join Ema

• Be at the forefront of AI innovation, shaping the future of enterprise productivity.

• Work with world-class engineers, AI researchers, and product leaders.

• High-ownership role with visibility across Ema's most strategic technical programs.

• Hybrid work model enabling global collaboration between Silicon Valley and Bangalore.

• Competitive compensation, performance-based bonuses, and rapid career growth opportunities.

Ema's Culture & Values

• High Bar on Quality – We value excellence and expect world-class execution.

• Ownership & Accountability – We take full responsibility for our work and outcomes.

• Impact-Driven Approach – We measure success through tangible, customer-facing impact.

• Team Collaboration & Growth – We foster learning, mentorship, and shared success.

• No Hierarchy, Just Execution – We move fast, stay humble, and focus on results.

---