Technical Project Manager – Agentic AI Platform

Overview

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 Overvie

wAs 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 Responsibiliti

es
1. Program Planning & Execut

• ionLead end-to-end delivery of technical programs, from requirements definition and scoping to launch and post-deployment optimizati
• on.Translate product strategy into actionable execution plans with clear milestones, success criteria, and measurable outcom
• es.Build and manage cross-functional execution plans involving Engineering, Product, AI Application Engineering, and Data Scien
• ce.Anticipate and mitigate program risks, proactively identifying blockers and aligning teams toward solutio
• ns.Ensure all deliverables meet quality standards, scalability, and enterprise readiness criter

ia.2. Cross-Functional Leaders

• hipAct as the connective tissue across Product, Engineering, and Go-To-Market functio
• ns.Drive clarity and alignment across teams by facilitating structured communication, sprint planning, and program status reporti
• ng.Define and improve processes for program execution, issue tracking, and dependency manageme
• nt.Foster accountability and transparency through structured program dashboards, KPIs, and progress revie

ws.3. Technical Depth & Problem Solv

• ingPartner with engineering teams to understand system architecture, technical constraints, and integration challeng
• es.Break down complex AI platform initiatives into manageable workstreams and clear technical deliverabl
• es.Identify opportunities for automation, efficiency, and scalability across Ema’s agentic AI platfo
• rm.Support incident management, root cause analysis, and continuous improvement effor

ts.4. Stakeholder Communication & Report

• ingProvide executive-level updates on program status, risks, and mitigatio
• ns.Communicate technical concepts clearly to both technical and non-technical stakeholde
• rs.Manage expectations across diverse stakeholders—balancing delivery urgency with long-term technical visi

on.5. Continuous Improvement & Scal

• ingDrive operational excellence by defining and refining program management framewor
• ks.Lead retrospectives and post-mortems to capture learnings and improve delivery veloci
• ty.Mentor junior PMs or cross-functional leads in structured program delivery metho

ds.
Required Skills & Qualificat

• ions10+ years of experience in Technical Program Management, Engineering Program Management, or equivalent roles within Enterprise SaaS, AI, or automation platfo
• rms.Proven ability to lead large, cross-functional technical initiatives from concept to complet
• ion.Strong understanding of cloud platforms (AWS, GCP, Azure), APIs, and enterprise system integrati
• ons.Experience with agile methodologies, sprint planning, and backlog prioritizat
• ion.Excellent stakeholder management, communication, and presentation ski
• lls.Demonstrated ability to work with engineering teams on AI or data-driven syst
• ems.Strong analytical mindset with the ability to make data-driven decisi
• ons.Startup experience and comfort with fast-moving environments are highly desira

ble.Why Join

• EmaBe at the forefront of AI innovation, shaping the future of enterprise productiv
• ity.Work with world-class engineers, AI researchers, and product lead
• ers.High-ownership role with visibility across Ema’s most strategic technical progr
• ams.Hybrid work model enabling global collaboration between Silicon Valley and Bangal
• ore.Competitive compensation, performance-based bonuses, and rapid career growth opportunit

ies.
Ema’s Culture & V

• aluesHigh Bar on Quality – We value excellence and expect world-class execu
• tion.Ownership & Accountability – We take full responsibility for our work and outc
• omes.Impact-Driven Approach – We measure success through tangible, customer-facing im
• pact.Team Collaboration & Growth – We foster learning, mentorship, and shared suc
• cess.No Hierarchy, Just Execution – We move fast, stay humble, and focus on res

ults.