Group Product Manager (GPM), Talent Studio & Expert Network
Location: Bangalore (India)
Hybrid Model
About Us
- :TELUS Digital is at the forefront of the Generative AI revolution, specialising in the creation of high-quality, high-fidelity datasets essential for training leading frontier AI models. We are transitioning our focus to complex, domain-specific data challenges, moving beyond standard annotation
- .Our mission is to power the future of AI by providing the exceptional data these advanced models require. We value a hands-on approach, operate with a bias for action, and promote a culture centred on solving real problems through rapid iteration and continuous learning. We empower our teams with ownership and use data-driven feedback loops to guide our progress towards ambitious goals
.
The Opportunit
- y:Building and managing a scalable, on-demand network of specialised domain experts (in STEM, rare languages, creative writing, computer science, etc.) is fundamental to our success and our mission of delivering premier AI training data. This requires architecting the operational and product engine to consistently source, qualify, and manage world-class talent at scale, ensuring datasets of unparalleled qualit
- y.We are seeking a strategic and operationally minded group product manager to spearhead this critical initiative. Crucially, your initial focus will be deeply embedded within the operational realities of our current expert sourcing, validation, and dataset creation processes. You will work shoulder-to-shoulder with our Operations, Sourcing, and Quality teams, actively using our ongoing dataset projects as a live laboratory. Your primary goal starting is to rapidly understand the ground-level challenges – the bottlenecks, the quality hurdles, and the inefficiencies – through direct involvement and analysi
- s.From this deep operational understanding, you will transition into defining the core problems, architecting the solutions, and driving the product strategy and execution for our Talent Studio and related operational tool
s.
Responsibiliti
es:Operational Immersion & Problem Discove
- ry:Embed deeply within Operations, Sourcing, and Quality teams to gain first-hand mast
eryof the end-to-end expert lifecycle and dataset production workflo
- ws.Identify, analyse, and quantify critical bottlenecks, pain points, and opportunit
iesimpacting speed, cost, validation integrity, and data quali
- ty.Actively leverage current efforts as a primary source for user needs discovery (inter
nalteams, experts) and build experiments that help us learn quic
kly
Product Strategy & Roadmap Definit
- ion:Translate operational insights, user needs, and experimental learnings (derived from internal pilot projects) into a clear product vision, strategy, and phased roadmap for the Talent Intelligence System and supporting to
- ols.Prioritise features ruthlessly based on their direct impact on strategic goals: enhancing dataset quality, accelerating expert deployment, strengthening validation, ensuring scalability, and improving expert engagem
- ent.Develop clear, actionable product requirements, user stories, and specifications that effectively bridge operational needs with technical soluti
ons.Execution & Cross-Functional Leaders
- hip:Drive the product development lifecycle from ideation through requirements, design oversight, launch, and iterat
- ion.Collaborate cross-functionally with Operations, Sourcing, Quality, Domain Experts, Gr
- owthMarketing and business development to ensure velocity and holistic alignm
- ent.Champion a data-driven, iterative approach, using real-world project learnings and performance metrics to continuously refine the product strategy and validate hypothe
ses.
Market & Ecosystem Aware
- ness:Maintain a strong understanding of the landscape for AI data operations, qu
alityassurance, expert network management, and the specific data quality/validation
needsof frontier AI
- labs.Stay informed about relevant technologies and best practices without getting boxed
intoGeneric solutions – focus remains on enabling our core AI data busi
ness.
Qualifica
- tions:Proven experience (8-10+ years) in Product Management, with a clear track rec
ord oflaunching and iterating on complex systems, operational tools, or data plat
- forms.Demonstrated ability and willingness to deeply understand complex opera
tionalworkflows first-hand and translate those insights into impactful product require
- ments.Prior experience in B2C, growth product mana
- gementStrong analytical and problem-solving skills; highly proficient in using data (quanti
tativeand qualitative) to diagnose problems and guide deci
- sions.Excellent cross-functional collaboration and communication skills – capable of bu
ildingstrong relationships and driving alignment across diverse teams (ops, tech
nical,busi
- ness).Experience defining product vision, strategy, and roadmaps, particularly in ambigu
ous orrapidly evolving environ
ments.
Preferred /
Bonus:Experience in domains directly related to data operations, data annotation platforms, data quality systems, AI/ML infrastructure, or managing specialised/expert
talentne
- tworks.Experience as a software/ML engineer or d
- esignerExperience working on multi-sided marke
- tplacesExperience with products designed for technical, scientific, or highly skilled kn
owledgew
orkers.
Why
- Join Us:Directly Fuel the AI Revolution: Lead the creation of the essential systems that
source,validate, and manage the elite human expertise required to generate the highest
-qualitydata for the world's most advanced AI models. Your work directly impacts the capa
bilitiesand safety of frontier AI – this is a high-leverage role in the largest technological
shift ofour li
- fetimes.Build Foundational Infrastructure: Architect and own the Talent Intelligence
System'from its inception. This isn't about tweaking existing tools; it's about defining and
buildingthe core engine for managing specialised talent in the AI data space, setti
ng a newstandard for quality and eff
- iciency.Solve Novel, High-Stakes Problems: Tackle uncharted challenges at the
complexnexus of deep domain expertise, AI data operations, rigorous quality assura
nce, andscalable platform design. The solutions you build will address unique problems
with nooff-the-shelf
- answers.Drive Critical Strategic Impact: Be at the epicentre of our company's mo
st vitalstrategic initiative. You'll have significant ownership, visibility, and the opport
unity todirectly shape our ability to lead in the rapidly expanding AI ec
osystem.
