The Role
Owns end-to-end strategy, roadmap, development, launch, and growth for AI, B2B SaaS, data intelligence, cybersecurity, and email deliverability products. Translates customer and business needs into technical product requirements, collaborates with engineering and cross-functional teams, drives AI capabilities and integrations, and uses analytics to optimize product performance. Leads discovery, experimentation, positioning, pricing, go-to-market, and product scaling from 0 to 1 and 1 to 10.
Summary Generated by Built In
- Own
the end-to-end product strategy, roadmap, development, launch, and
growth of AI, B2B SaaS, Data Intelligence, Cybersecurity, and Email
Deliverability products.
- Translate customer and business requirements into scalable product features,
workflows, APIs, and technical specifications.
- Work
closely with Engineering, AI/ML, Data, DevOps, Cybersecurity, UI/UX,
Sales, and Business teams.
- Define
and manage PRDs, user stories, acceptance criteria, product workflows,
API specifications, and system requirements.
- Participate
in architecture discussions, sprint planning, backlog refinement,
technical design reviews, API reviews, UAT, and release planning.
- Drive
AI product capabilities including LLMs, AI agents, RAG, embeddings,
vector search, prompt systems, AI evaluation, guardrails, and model
optimisation.
- Work
with APIs, third-party integrations, CRM/marketing platforms, webhooks,
and AI model integrations.
- Use SQL,
product analytics, funnel analysis, A/B testing, and product usage data to drive product decisions.
- Conduct customer discovery, competitor analysis, product validation, and MVP
definition.
- Own
product growth metrics including activation, engagement, conversion,
retention, feature adoption, expansion, MRR/ARR, and other product
KPIs.
- Collaborate
with Sales and Marketing on product positioning, pricing, packaging,
GTM, and product launches.
- Continuously
monitor product performance and identify opportunities for optimization,
scalability, and growth.
Requirements
- 5–10+
years of overall experience with 4+ years in Product Management /
Technical Product Management.
- Strong
experience in B2B SaaS product management and building technology
products.
- Strong
understanding of API architecture, SaaS architecture, system workflows,
and third-party integrations.
- Hands-on
working knowledge of SQL and product analytics.
- Experience
with Agile/Scrum, product discovery, PRD writing, and data-driven
decision making.
- Strong
understanding of AI/ML, Generative AI, LLMs, AI Agents, RAG, and vector
databases is preferred.
- Good
understanding of REST APIs, Python, microservices, event-driven
architecture, and cloud platforms is preferred.
- Exposure
to data engineering, cybersecurity, CRM systems, marketing automation,
or email infrastructure is an added advantage.
- Ability
to understand and work with architecture diagrams, API documentation,
Postman, SQL, and analytics dashboards.
- Strong
analytical, problem-solving, communication, and stakeholder-management
skills.
- Experience
taking products from 0→1 and scaling products from 1→10.
- Engineering/software-development
background transitioning into Technical Product Management is strongly
encouraged.
Skills Required
- 5–10+ years of overall professional experience
- 4+ years of Product Management or Technical Product Management experience
- Strong experience in B2B SaaS product management and building technology products
- Strong understanding of API architecture, SaaS architecture, system workflows, and third-party integrations
- Hands-on working knowledge of SQL and product analytics
- Experience with Agile/Scrum, product discovery, PRD writing, and data-driven decision-making
- Strong understanding of AI/ML, Generative AI, LLMs, AI agents, RAG, and vector databases
- Understanding of REST APIs, Python, microservices, event-driven architecture, and cloud platforms
- Exposure to data engineering, cybersecurity, CRM systems, marketing automation, or email infrastructure
- Ability to work with architecture diagrams, API documentation, Postman, SQL, and analytics dashboards
- Strong analytical, problem-solving, communication, and stakeholder-management skills
- Experience taking products from 0 to 1 and scaling products from 1 to 10
- Engineering or software-development background transitioning into Technical Product Management
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The Company
What We Do
InFynd is a cloud-based B2B data and prospecting platform that helps sales, marketing, and recruiting teams identify and engage potential customers. It provides contact information, company profiles, buyer-intent data, social media handles, and verified business email addresses and phone numbers. The platform supports target identification, company research, lead generation, and more effective sales conversion through accurate, GDPR-compliant business intelligence.
