Jobgether
Website:
jobgether.com
Company:
https://www.linkedin.com/company/jobgether
Seniority: Mid-Senior level
Industries: Internet Marketplace Platforms
Job details:
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Product Manager, Data Capture to Insights based in India.
As a Technical Product Manager, you will own the end-to-end lifecycle of high-volume device intelligence data, from collection and ingestion through processing, querying, and customer-facing experiences.
You will shape the roadmap across interconnected data and product surfaces, including JavaScript-based data collection, server APIs, analytics dashboards, and MCP experiences.
The role combines strong product management with deep technical fluency in data pipelines, APIs, distributed systems, and analytics products.
You will translate customer needs and business priorities into clear product requirements, thoughtful trade-offs, and scalable solutions.
You will work closely with engineering, product design, marketing, customer success, and other stakeholders to drive products from discovery through launch and adoption.
Your decisions will directly influence how customers collect, access, analyze, and operationalize high-volume behavioral and identity data.
This is an opportunity to make a meaningful impact in a fast-moving, remote-first technology environment focused on solving complex challenges in digital trust and fraud prevention.
Accountabilities
- Own the end-to-end product lifecycle for device intelligence data, covering data collection, ingestion, storage, processing, querying, reporting, and customer-facing experiences.
- Drive the roadmap for data collection through JavaScript-based agents, including instrumentation contracts, schema evolution, and reliable delivery to server APIs.
- Partner with engineering teams to define priorities across ingestion, storage, and processing while balancing reliability, cost, scalability, and performance.
- Define and prioritize product capabilities across analytics dashboards, server APIs, and MCP query experiences, including query workflows, report templates, data freshness expectations, and export functionality.
- Lead the customer migration between major versions of server APIs, ensuring a smooth transition and minimizing disruption.
- Maintain a clear, integrated roadmap across the JavaScript Agent, Server APIs, Dashboard, and MCP Server.
- Lead quarterly planning, write concise and actionable product requirements documents, manage dependencies, and communicate product trade-offs to stakeholders at all levels.
- Translate customer feedback, internal requirements, product usage data, and business objectives into prioritized product initiatives and measurable outcomes.
- Partner with product marketing on launches, including go-to-market timing, messaging, positioning, and post-launch enablement.
- Coordinate documentation updates, customer education, internal training materials, and best-practice content to support successful adoption of new capabilities.
- Work closely with engineering, product marketing, customer success, sales, and design teams to ensure product launches are well coordinated and customer needs remain central to execution.
- Define and monitor product metrics, using quantitative and qualitative data to evaluate performance and inform roadmap decisions.
- Consider API design as a data-product experience, including query capabilities, payload structures, filtering, pagination, rate limiting, authentication, and regional data residency.
- Anticipate long-term implications of product and API decisions for enterprise customers, downstream analytics workflows, and product adoption.
Requirements
- 3+ years of professional product management experience, ideally managing an existing product through a growth, scaling, or transformation phase.
- Bachelor’s degree in any discipline or equivalent practical experience; an MBA or advanced degree is a plus.
- Strong understanding of big data pipelines and the product considerations surrounding large-scale data collection, storage, processing, and querying.
- Demonstrated experience managing data analytics products, with experience in identity, anti-fraud, device intelligence, or similar data-intensive platforms being highly desirable.
- Experience working with event-level data APIs and understanding how high-volume behavioral or identity data is queried and retrieved based on visitors, time ranges, metadata, and other parameters.
- Strong API-as-a-product mindset, with the ability to assess which query capabilities and payload fields are valuable to enterprise customers and downstream analytics systems.
- Familiarity with server-side API constraints at scale, including rate limiting, authentication, pagination, regional data residency, and other architectural considerations.
- Sufficient technical depth to engage credibly with engineers on APIs, architecture, data pipelines, system constraints, and technical trade-offs.
- Proven ability to manage competing priorities across individual contributors, managers, executives, customers, and other stakeholders while driving alignment without direct authority.
- Strong customer orientation and a track record of translating customer needs, research findings, sales feedback, or product usage data into shipped product improvements.
- Experience defining, tracking, and interpreting product metrics and using data to distinguish meaningful signals from noise.
- Demonstrated experience owning roadmaps and making defensible prioritization and trade-off decisions under resource constraints.
- Experience partnering with sales and marketing on product launches, positioning, pricing inputs, or other commercial initiatives.
- Strong communication, analytical, organizational, and stakeholder-management skills.
- Ability to operate independently and effectively in a distributed, remote-first environment.
- Experience working with technology products involving high-volume data, analytics, APIs, or enterprise platforms is strongly preferred.
Benefits
- Fully remote working environment with the flexibility to work from an eligible home location.
- Opportunity to contribute to products addressing complex challenges in digital trust, identity intelligence, and online fraud prevention.
- Meaningful ownership over critical data and product experiences with visible impact on customers and business outcomes.
- International and distributed working environment with opportunities to collaborate across diverse teams and perspectives.
- Opportunity to work on technically sophisticated products involving large-scale data pipelines, APIs, analytics, and emerging query experiences.
- Strong cross-functional exposure through collaboration with engineering, product, design, marketing, sales, and customer success teams.
- Inclusive workplace culture that values diverse experiences, perspectives, and backgrounds.
- Opportunities for professional growth through ownership of strategic product initiatives and complex technical challenges.
- Compensation determined according to factors such as hiring location, experience, expertise, education, skills, and market conditions.
- Candidates must be legally authorized to work from their home location; visa sponsorship is not provided.
- Access to a remote-first environment designed to support collaboration, autonomy, and meaningful contribution regardless of physical location.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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