JOB DESCRIPTION
Senior Product Manager (Technical)
Real-time AI Platform · Enterprise B2B · Multi-Vertical
Company: ableCredit
Location: Bangalore
Reports to: CEO / Co-founder
Team: Engineering, AI/ML, Enterprise Customer Success
Stage: Post-PMF, Pre-Scale
About ableCredit
ableCredit is a GenAI infrastructure company built for enterprises where human conversations drive high-stakes decisions. Our real-time AI co-pilot platform listens to live conversations, guides front-line agents through structured workflows, and captures everything into compliant, structured outputs — automatically.
Why This Role Exists -
This role exists to solve three specific problems:
- Shipping cadence: We build good things but ship unpredictably. We need someone who can install a culture of weekly releases, clear ownership, demo days, and “what shipped this week” accountability.
- AI leverage: We need someone who sees these opportunities instinctively: POC onboarding, SOP configuration, customer telemetry analysis.
- Alignment: The person in this role becomes the connective tissue between Business, engineering, and management - translating customer urgency into engineering priorities without losing either side’s trust.
What You’ll Own
Product Execution & Shipping Culture
- Own the product roadmap for the core ableCredit platform across BFSI, insurance, healthcare, and BPO verticals.
- Install and run a predictable shipping rhythm: sprint planning, release cadence, demo days, weekly “what shipped” updates to the company.
- Own the prioritisation framework: what gets built, what gets deferred, and why. Communicate tradeoffs clearly to engineering, sales, and leadership.
Technical Product Leadership
- Work directly with the engineering and AI teams on architecture decisions, latency tradeoffs, model selection, and evaluation frameworks for AI features.
- Review telemetry dashboards, debug production issues alongside engineers, and read API documentation when integrating with client systems.
- Make platform vs. vertical-specific tradeoffs: know when a feature request genuinely needs custom work and when it’s a configuration problem.
AI as Internal Leverage
- Identify internal workflows that should be automated or agent-powered: POC onboarding, SOP configuration, customer health monitoring, QA of conversation outputs.
- Stay current on AI capabilities (agentic frameworks, evaluation methods, prompt engineering at scale) and translate them into practical product decisions.
Enterprise Customer & Cross-Functional Alignment
- Be the single point of truth between what customers need, what sales has promised, and what engineering is building.
- Join customer calls and on-site visits. Understand the reality of a credit officer in Coimbatore or a branch executive in Nagpur using the product in the field.
- Build a visible, credible roadmap that sales can sell from and customers can plan around .
What We’re Looking For
Non-Negotiables
- 5–8+ years in product management, with at least 2 years shipping AI-powered or data-heavy products to enterprise B2B customers.
- Technical fluency: You’ve written production code at some point in your career. Today, you can read a Grafana dashboard and spot a latency spike, review a PR for product correctness, navigate API docs independently, and check telemetry without filing a ticket. Engineers see you as a technical peer, not a business translator.
- AI product judgment: You understand the difference between AI-as-product and AI-as-infrastructure. You’ve made decisions about model selection, prompt engineering, evaluation frameworks, and graceful degradation in production. Bonus: you’ve built or shipped agentic workflows.
- Shipping culture builder: You’ve joined a team that was building good things but shipping unpredictably, and you changed that. You can describe exactly what you did in the first 90 days.
Strong Preferences
- Multi-vertical or horizontal platform experience: You’ve worked on a product that serves multiple industries and have dealt with “build once, configure many” vs. “this vertical needs something custom” tensions.
- India enterprise context: Comfort with BFSI, regulated industries, or India-specific enterprise sales cycles. You understand that deploying in Tier-2/3 India is a different operating environment than a Valley SaaS playbook.
- Internal AI adoption: Evidence of using AI, automation, or agentic tools to improve your own team’s velocity — not just building AI products for customers.
Nice-to-Haves
- Experience with real-time systems: audio/video streaming, low-latency pipelines, multilingual NLP.
- Startup experience at a comparable stage (post-PMF, pre-scale, 20–80 people).
- Familiarity with Indian language tech, voice AI, or field-force enablement products.
Why Join ableCredit Now
- The AI is real. This isn’t a company that slapped “AI-powered” on a dashboard. Real-time transcription, multilingual voice models, agentic workflows - in production, at scale, in one of the hardest operating environments on earth.
- The expansion is genuinely exciting: four new verticals, a new global product, and 7x revenue growth targeted in a single year.
- You’ll work directly with the founding team, strong engineers, and demanding customers who actually want the product to succeed.
Compensation & Logistics
- Competitive salary + meaningful equity (early-stage, pre-Series A).
- Location:Bangalore, in-office, with occasional travel to customer sites.
- This is a leadership hire. You’ll have a seat at the table on company strategy, not just product decisions.
Shubham Vishwakarma
Full Stack Developer - Averlon
About AbleCredit
About
AI that writes Credit Reports on its own !!
AbleCredit is a friendly, supportive credit assistant. It generates Credit Appraisal Memos based on your policies, without any human intervention.
Candid answers by the company
AI that writes Credit Reports on its own !!
AbleCredit is your friendly, supportive credit assistant. It generates Credit Appraisal Memos based on your policies, without any human intervention.
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Full Stack Developer - Averlon