Software Architect

Role & Responsibilities

We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.

Key Responsibilities-

• Operate and support AWS production environments across multiple accounts
• Manage infrastructure using Terraform and support CI/CD pipelines
• Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
• Build and manage Docker images and push to Amazon ECR
• Monitor systems using CloudWatch and third-party tools; respond to incidents
• Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
• Assist with cost optimization, tagging, and governance standards
• Automate operational tasks using Python, Lambda, and Systems Manager

Ideal Candidate

• Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Experience with Terraform and Git-based workflows
• Hands-on experience with Kubernetes / EKS
• Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Scripting experience in **Python or Bash**
• Understanding of monitoring, incident management, and cloud security basics

Nice to Have-

• AWS Associate-level certifications
• Experience with Karpenter, Prometheus, New Relic
• Exposure to FinOps and cost optimization practices

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.

• Make outbound calls to customers/prospects.
• Explain products or services and answer queries.
• Generate leads or close sales over the phone.
• Maintain customer records and update CRM.
• Follow up on leads and ensure customer satisfaction.
• Achieve daily/weekly/monthly targets.

factorie.io is a digital manufacturing enterprise, connecting disparate data sources to align manufacturing activities in real time, substantially impacting manufacturing throughput. 

Operating in an inherently data-rich environment – we seek to be the source of real time intelligence for manufacturing operations by processing and elevating data from machines, ERP and other IT applications. 

The company is currently being led by four co-founders with a cumulative management, technology and manufacturing experience of more than 100 years. In place is a dedicated strategic consulting for manufacturers to transition to digital enterprise, ISV partners and pilot clients. As we work towards empowering manufacturers at scale, we are looking for a high caliber IIoT / embedded systems engineer to lead data acquisition from machines. This is a leadership position and you'll be a Co-founder of the Company. All Co-founders are compensated from founders' equity in the Company – and, cash compensation will commence only after completing 12 months association as Co-founder.

Nurtured as a product-based technology company, our Co-founder would be someone who considers himself to be a methodical hacker – energized by simply the process of building products that solve meaningful problems. You have a bias for action, taking consistent, incremental and measurable steps towards releases that serve the product’s immediate and long-term needs.

If that person is you, we look forward to experimenting and tinkering with the next generation of IoT and data analytics use cases – together. 

ASK YOURSELF IF YOU ARE: 

Entrepreneurial? Someone who believes it is their time to shine and is tired of operating in a manager's shadow. Have you started-up before – or, even thought about doing so? Tell us your story. 

A hands-on craftsman? Someone who loves to build, understands the architecture of complex software applications and frameworks. Do you contribute to opensource projects and / or have you developed / are you developing certain ‘hobby’ applications? We would love to know about them. Do you have an engineering blog we should be following? We are NOT accepting managers for this position, please. 

Disciplined, passionate and obsessive? Someone who needs to solve REAL problems that have potential network implications on how products are manufactured in the world today – democratizing the hitherto ‘privileged’ power of Industry 4.0.

THE SKILLS YOU NEED / TECHNOLOGIES WE’RE WORKING ON,

CORE:

• Experience of data acquisition, extraction and normalization from PLCs and sensors with open protocols (OPC-UA, Modbus and MTConnect) + proprietary connectors (for Siemens Sinumerik, Fanuc and Mitsubishi)

• Comfortable building the Edge hardware and software infrastructure - IoT Gateways, IoT Servers installed on Linux or Android (Yocto) forks

• Exposure to low latency connectivity architecture using a combination of Wireless (Cellular, Wi-Fi, Bluetooth, and NFC), and wired (Ethernet) interfaces. Consequently, necessary is an understanding of Profinet and MQTT communication standards.

• In depth knowledge of the architecture of smart manufacturing software components - SCADA, Historian, MES etc.

• Have leveraged a cross-section database types - RDS (Postgres) and / or NoSQL (MongoDB, DynamoDB)

• A fanatical level of thoroughness with the OOP such as C++, JAVA (Spring) as well as the more recent Node.js, Go 

FUNDAMENTALS:

• Strong CS fundamentals. Deep knowledge of math, probability, statistics and algorithms. Delivering full-stack projects from conceptualization to production. Iterating, developing and testing MVPs quickly - therefore identifying opportunities to automate the development cycle to the maximum feasible extent.

• Extensive experience of leveraging (opensource) libraries / solutions, frameworks, APIs, AWS IIoT (or similar) etc., to drive efficiencies in product development. We’re NOT planning to reinvent the wheel.

• Familiarity with deploying and developing in a microservices architecture. i.e., deploying on a containerized (Kubernetes, Docker, ECS, EKS etc.) stack that communicates via REST APIs. Developing while religiously following the CI / CD methodology.

• Trade tools such as PLC simulators, IoT device / sensor simulators, Cucumber, Selenium, GIT, IDEs (ex., Eclipse), JIRA etc., would be almost second nature