While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Quantiphi:
Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.
Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.
Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc.
As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
Our industry recognition includes:
21x Google Cloud Partner of the Year awards in the last 8 years.
3x AWS AI/ML award wins.
3x NVIDIA Partner of the Year titles.
2x Snowflake Partner of the Year awards.
Top analyst recognitions from Gartner, ISG, and Everest Group.
Consecutive certifications as a Great Place to Work.
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.
Your next big opportunity starts here!
Role Summary:
TPMs partner closely with engineering & product leadership to deliver initiatives where architecture, integration, reliability, performance, and technical trade-offs are central to success.
TPMs are expected to be technically fluent (able to understand system design, APIs, data flows, reliability constraints), while remaining primarily accountable for program execution, cross-functional alignment, and outcomes. They will partner closely with technical leads to drive the technical implementation plans and roadmaps.
TPMs must be able to work in a complex environment with matrixed teams and organizations. TPMs must provide project/program visibility to technical and business stakeholders around key projects, status, risks, and post-launch metrics.
Key Responsibilities :
Program strategy & planning
Define program objectives, success metrics, scope boundaries, and sequencing.
Build an integrated roadmap across teams; manage critical path and trade-offs.
Technical coordination
Translate business goals into technical milestones and engineering deliverables.
Drive integration plans across services, APIs, data contracts, and environments.
Ensure non-functional requirements are planned: reliability, scalability, security, privacy, cost, and observability.
Execution leadership
Establish operating cadence across internal & dependent teams (working session, project reviews, milestone reviews, launch readiness, go/no-go).
Anticipate bottlenecks; negotiate sequencing and resourcing with engineering leaders.
Own RAID management and escalation with options and recommendations.
Release & operational readiness
Drive launch plans, cutovers, feature flags, rollback strategies, and runbooks.
Partner with SRE/Infra to ensure monitoring, alerting, SLOs, and on-call readiness.
Stakeholder management
Align engineering, product/business, security/compliance, and operations.
Communicate progress and trade-offs clearly to leadership; maintain a decision log.
A TPM consistently:
Drives cross-team execution without relying on escalation as the primary lever.
Makes ambiguity smaller: produces clear charters, milestones, and dependency maps.
Understands enough technical detail to:
- Ask the right questions
- Surface integration risks early
Identify missing work (e.g., telemetry, data backfills, DR, access controls)
Anticipates and manages systemic risks (migration complexity, reliability debt, data quality).
Ships with operational excellence: readiness reviews, runbooks, SLOs, post-launch validation.
Qualification:
Strong program management fundamentals (project planning, dependency mapping, RAID, stakeholder management).
Technical fluency: system design concepts, APIs, data flows, environments, CI/CD concepts.
Experience driving cross-team software/platform/infrastructure programs.
Comfort with ambiguity and technical trade-offs; can facilitate decisions.
Preferred Qualification:
Experience with AI/ML or data platforms.
Familiarity with SRE practices (SLO/SLI, incident management, observability).
Experience with large migrations, platform modernization, or reliability programs.
Boundaries (What This Role Is Not):
Not the engineering manager or architect-of-record (but influences and unblocks).
Not a “Jira admin” whose primary output is tickets; outcomes and alignment come first.
What is in it for you:
Be part of the fastest-growing AI-first digital transformation and engineering company in the world
Be a leader of an energetic team of highly dynamic and talented individuals
Exposure to working with fortune 500 companies and innovative market disruptors
Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Skills Required
- Strong program management fundamentals, including project planning, dependency mapping, RAID management, and stakeholder management
- Technical fluency in system design concepts, APIs, data flows, environments, and CI/CD concepts
- Experience driving cross-team software, platform, or infrastructure programs
- Comfort with ambiguity and technical trade-offs; ability to facilitate decisions
- Experience with AI/ML or data platforms
- Familiarity with SRE practices, including SLO/SLI, incident management, and observability
- Experience with large migrations, platform modernization, or reliability programs
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
