Digital Marketing - Founder's Office

🚀 Job Title : Python AI/ML Engineer

💼 Experience : 3+ Years

📍 Location : Gurgaon (Work from Office, 5 Days/Week)

📅 Notice Period : Immediate

Summary :

We are looking for a Python AI/ML Engineer with strong experience in developing and deploying machine learning models on Microsoft Azure.

🔧 Responsibilities :

• Build and deploy ML models using Azure ML.
• Develop scalable Python applications with cloud-first design.
• Create data pipelines using Azure Data Factory, Blob Storage & Databricks.
• Optimize performance, fix bugs, and ensure system reliability.
• Collaborate with cross-functional teams to deliver intelligent features.

✅ Requirements :

• 3+ Years of software development experience.
• Strong Python skills; experience with scikit-learn, pandas, NumPy.
• Solid knowledge of SQL and relational databases.
• Hands-on with Azure ML, Data Factory, Blob Storage.
• Familiarity with Git, REST APIs, Docker.

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.

Job Title: QA Engineer, 

Experience: 2+ years

Location: Indore, M.P.

Role: Full-time

About the Role:

We are seeking a skilled QA Engineer responsible for designing and executing automated and manual tests to ensure the functionality, performance, and reliability of web and mobile applications. The QA Engineer will collaborate closely with development and cross-functional teams to maintain high-quality software throughout the development lifecycle.

Key Responsibilities:

• Review and analyze system specifications and requirements.
• Design, create, and execute test cases (manual and automated).
• Perform API testing and mobile application testing.
• Conduct performance testing, including load testing and cross-browser testing.
• Ensure comprehensive coverage of functional and non-functional testing.
• Evaluate product code against specifications to identify defects.
• Document testing phases, results, and defects through detailed logs.
• Report bugs and collaborate with development teams for resolution.
• Assist in troubleshooting and post-release/post-implementation testing.
• Create large datasets for performance and load testing.
• Gather performance testing requirements and develop test plans.
• Collaborate with testing and development teams to ensure product quality.
• Write and maintain documentation for automated testing processes, including test plans, procedures, and test cases.

Requirements:

• Proven experience as a QA Engineer or similar role.
• Strong knowledge of QA methodologies, project management, and Agile frameworks.
• Experience with regression testing and automated testing tools.
• Proficiency in API testing, mobile testing, and performance testing.
• Excellent analytical, problem-solving, and attention-to-detail skills.
• Strong communication skills and ability to work collaboratively.

Education & Experience:

• Bachelor’s degree in Computer Science, Information Technology, or equivalent.
• Minimum of 2 years of experience working as a QA Engineer within a Scrum/Agile environment

ROLES AND RESPONSIBILITIES:

We are looking for a Software Engineering Manager to lead a high-performing team focused on building scalable, secure, and intelligent enterprise software. The ideal candidate is a strong technologist who enjoys coding, mentoring, and driving high-quality software delivery in a fast-paced startup environment.

KEY RESPONSIBILITIES:

• Lead and mentor a team of software engineers across backend, frontend, and integration areas.
• Drive architectural design, technical reviews, and ensure scalability and reliability.
• Collaborate with Product, Design, and DevOps teams to deliver high-quality releases on time.
• Establish best practices in agile development, testing automation, and CI/CD pipelines.
• Build reusable frameworks for low-code app development and AI-driven workflows.
• Hire, coach, and develop engineers to strengthen technical capabilities and team culture.

IDEAL CANDIDATE:

• B.Tech/B.E. in Computer Science from a Tier-1 Engineering College.
• 3+ years of professional experience as a software engineer, with at least 1 year mentoring or managing engineers.
• Strong expertise in backend development (Java / Node.js / Go / Python) and familiarity with frontend frameworks (React / Angular / Vue).
• Solid understanding of microservices, APIs, and cloud architectures (AWS/GCP/Azure).
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Excellent communication and problem-solving skills.

PREFERRED QUALIFICATIONS:

• Experience building or scaling SaaS or platform-based products.
• Exposure to GenAI/LLM, data pipelines, or workflow automation tools.
• Prior experience in a startup or high-growth product environment.

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Head – Sales / Business Development

Objectives of this role

• Represent the company effectively with comprehensive knowledge of our offerings

• Research consumer needs and identify how our solutions address them

• Hire, train, motivate, and advise a team of sales representatives

• Achieve company objectives by planning thoroughly, setting sales goals, analyzing performance data, and making forecasts

• Develop skills continuously for hiring, training, and leading team members, and ensure that they're using effective sales tactics to meet revenue objectives

• Generate leads, and establish and nurture client relationships

Responsibilities

• Create and execute a strategic sales plan that expands our customer base and extends the company's global reach

• Meet with potential clients and grow long-lasting relationships that address their needs

• Recruit sales representatives, set objectives, train and coach them, and monitor their performance 

• Identify knowledge gaps within the team and develop plans for filling them

• Ensure that company quotas are met by holding daily check-ins with sales team to set objectives and monitor progress

• Manage the month-end and year-end close processes

Required skills and qualifications

• 8-10 years of experience in managing sales in a corporate setting

• MBA (Sales) 

• Proven record of success with the entire sales process, from planning to closing and overachieving sales targets

• Excellent communication, interpersonal, and organizational skills

• Superb leadership ability

• Ability to travel at least 20% of the time

Preferred skills and qualifications

• Motivational speaking experience

• Proven success rate at levels above sales quota