Technical Product Manager

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

• Strong B2B Tech / SaaS Sales Profile, with a focus on Global Large Enterprises
• Mandatory (Experience 1): Must have minimum 8+ YOE in B2B Tech Sales for complex ERP Tech, B2B SaaS, or Tech Product Sales.
• Mandatory (Experience 2) : Must have 2+ YOE in B2B SaaS Sales.
• Mandatory (Experience 3): Must have minimum 2+ YOE in dealing with Direct Sales to Large Enterprise accounts in US Market.
• Mandatory (Experience 4): Must have handled deal / ticket size of average 70K+ USD and 750K+ USD of Annual Target.
• Mandatory (Experience 5): Must have experience with long sales cycles (3 to 6-months) for complex ERP solutions, consultative selling, and working with CXO-level stakeholders
• Mandatory (Experience 6): Must have seen strong career growth/promotions in last 5 years, and should be a Senior Manager or above in the current role
• Mandatory (Compensation): Current total compensation (Fixed + Variable) must be ₹60 LPA or above.

Preferred

• Preferred (Experience): Some managing/mentoring experience is a plus.
• Preferred (Education) - MBA from Tier-1 Colleges

Preferred Companies

Target Companies (1) - 6sense, Anaplan, Airtable, Avalara, Browserstack, Chargebee, Datatrain, Drivetrain, Druva, Freshworks, Gusto, Hackerrank, Highradius, HubSpot, Intercom, Kissflow, Moengage, Mosaic Tech, Ordway, Outplay, Paperflite, Planful, QuickBooks, Ramp, Revenuehero, Rippling, Rocketium

Target Companies (2) - Sezzle, Slack, Spendesk, Sprinto, Stripe, SuperOps, Survey Sparrow, Vanta, Whatfix, Xero, Zeda.io, Zoho, zycus, Darwinbox, Entropik, Everstage, Facilio, Growfin, Growfin.ai, Haptik, Interviewbit, Lead Squared, Leadle, Prezent, Recko, Recruiterflow, SentientGeeks, Spendflo, Squadstack, Vertice, Zenoti

Job Title: Openshift Engineer

Location: Navi Mumbai (CBD Belapur)

Employment Type: Full-time

(Payment Aggregator Project) A Leading Bank

Experience Required: 5+ years

Work Schedule: Alternate Saturdays working

Relocation: Candidates from across India are welcome to apply, but relocation to Navi Mumbai and office presence is required.

Must Have Skills:

5 to 12 years of experience working with OpenShift, Kubernetes, Docker, and related container technologies.

Strong expertise in CI/CD tools such as Jenkins, GitLab CI, or similar.

Proficiency in scripting languages like Bash, Python, and experience with configuration management tools (e.g., Ansible, Chef, Puppet).

Experience deploying and managing cloud-native solutions and familiarity with cloud platforms (AWS, Azure, Google Cloud).

Excellent problem-solving skills with the ability to troubleshoot complex issues and work effectively in a fast-paced, dynamic environment.

Good to Have Skills:

Familiarity with banking industry standards and compliance requirements (e.g., PCI-DSS, SOX, GDPR).

Experience working in payment aggregator or financial technology (FinTech) projects.

Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or similar.

Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.

Strong communication and teamwork skills, with experience working in cross-functional, Agile teams.

Note: This role requires willingness to work alternate Saturdays as part of the project requirements.

HCM Program Manager

Experience- 10-15 years

Locations- Bangalore & Chennai

• Deep functional knowledge (especially in HCM core modules including the above mentioned three modules) having done 4-6 implementations across industries,  
• Understands best practices and can lead solutioning,
• has good understanding of the tech involved,
• Speaks the HR lingo and can build confidence and trust among HR managers/CHRO
• Excellent communicator and leader
• 12-15 years of relevant experience with at least 6 in HCM implementation. Domain experience in HR function can be an advantage if in multinational organizations in any industry, or in evolved IT services companies