Product Manager – Technical

Tachyon Technologies; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Tachyon Technologies in Hyderabad seeks a Product Manager with strong technical depth to drive the SaaS enterprise roadmap. You will translate business needs into AI-native product solutions, collaborating with engineering, sales, and customers.

You will own the roadmap, guide AI agents and workflow automation, and ensure measurable success through adoption, retention, and NPS, while engaging with stakeholders across the organization.

Qualifications

• 5+ years in product management for SaaS/enterprise software.
• Strong technical background, discuss APIs and architecture with engineers.
• Hands-on with AI-native apps—LLM-based features and AI agents.
• Experience engaging enterprise customers to shape features.
• Track record shipping and scaling B2B SaaS with AI/ML capabilities.

Responsibilities

• Own the product roadmap and backlog for enterprise SaaS offerings.
• Drive AI-native features from concept to launch (AI agents, automation).
• Partner with customers to gather requirements, run discovery, validate features.
• Translate constraints into clear engineering requirements and APIs.
• Collaborate on architecture trade-offs, API design, and integrations.
• Prioritize features with sales, CS, and support based on impact.
• Continuously engage customers to identify pain points and opportunities.
• Define and track success metrics (adoption, retention, NPS, usage).
• Present roadmap updates and demos to customers and stakeholders.

Skills

Product management

Technical depth

APIs & architecture

AI-native apps

Enterprise customer engagement

Shipping B2B SaaS

Communication

Agile/Scrum

Education

Bachelor's in CS/Engineering

Tools

APIs

System architecture

Integrations

Data models

LLM orchestration

Job description

Product Manager - Technical (SaaS / Enterprise Applications)

Employment Type:

Full-time

About the Role

We're looking for a product manager with strong technical depth and a customer-first mindset to help drive our SaaS enterprise application roadmap. You'll work closely with engineering, sales, and customers to translate business needs into scalable, AI-native product solutions.

Key Responsibilities

• Own the product roadmap and backlog for enterprise SaaS offerings
• Drive the vision and execution for AI-native features — from concept to launch — including AI agents and intelligent workflow automation
• Partner directly with customers to gather requirements, run discovery sessions, and validate new features
• Translate technical constraints and opportunities into clear product requirements for engineering teams
• Collaborate with engineering on architecture trade-offs, API design, and integration decisions
• Work cross-functionally with sales, customer success, and support to prioritize features based on customer impact
• Continuously engage with customers to identify pain points and opportunities for new AI-driven capabilities
• Define and track success metrics (adoption, retention, NPS, feature usage, etc.)
• Present roadmap updates and demos to customers and internal stakeholders

Requirements

• 5+ years of product management experience in SaaS/enterprise software
• Strong technical background — comfortable discussing APIs, system architecture, integrations, and data models with engineers
• Hands-on knowledge of building AI-native applications — LLM-based features, AI agents, and intelligent workflow orchestration
• Proven experience engaging directly with enterprise customers (discovery, feedback loops, escalations) to shape and prioritize new features
• Track record of shipping and scaling B2B SaaS features, ideally including AI/ML-powered capabilities
• Excellent communication skills — able to bridge technical and non-technical stakeholders
• Experience with agile/scrum methodologies
• Domain experience in hiring/applicant tracking applications, HR platforms, and CRM systems
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Nice to Have

• Prior experience as a software engineer or solutions architect
• Experience with enterprise integrations (SSO, APIs, webhooks)
• Familiarity with LLM orchestration frameworks or AI agent platforms