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The Role

We are looking for a Senior Product Manager to embed on-site with one of CAW's enterprise customers — sitting with their functional leaders, understanding their workflows, identifying the highest-ROI automation opportunities, and prototyping solutions yourself using AI-assisted development tools like Claude Code or OpenAI Codex.

This is not a project management role. We are looking for someone with strong business analysis chops who can walk into a domain they've never worked in, study it quickly, break down complex workflows, and figure out what to build. You should have a coding background and be able to prototype working solutions yourself — not just write specs and hand them off. You stay involved throughout production so nothing is lost in the communication between the customer and our remote engineers.

You are the one person the customer sees. The building and running happen behind you, at CAW HQ, on Gantry.

A Typical Week

Monday–Tuesday: Interview functional leaders and their team members to gain a deep understanding of their current processes, pain points, and undocumented workflows. Map what you find.

Wednesday: Apply structured prioritization frameworks (RICE, ICE, or equivalent) to rank discovered use cases by ROI. Classify each problem as deterministic automation, AI automation, an AI agent (built on Gantry), or a Custom Ops Platform (COP) opportunity — and draft the solution approach in collaboration with CAW's engineering and AI architects at HQ.

Thursday: Present the top problems and proposed solutions to the functional leader for buy-in. Get alignment on what to tackle first.

Friday and the following week: Prototype the solution using Claude Code, Codex, or equivalent AI-assisted development tools. Target: a working prototype in under a week. Present the prototype to the functional team, collect feedback, and iterate until it meets their needs. Once validated, draft a proposal to productionize it on Gantry (or as a COP) in collaboration with HQ, and drive approval from the functional head.

Ongoing: Spend a few hours daily collaborating with CAW's engineering teams at HQ to keep productionizing on track — while simultaneously starting discovery on the next problem with the next functional leader.

Key Responsibilities

Use Case Mining & Discovery

• Embed on-site with the customer. Sit with functional leaders across departments — operations, finance, CX, supply chain, HR — to understand their workflows, pain points, and priorities.
• Don't wait for requirements to be handed to you. Proactively identify problems CAW can solve with agents on Gantry or with a Custom Ops Platform. Prioritize ruthlessly based on business impact, technical feasibility, and speed to value.
• Run structured discovery sessions. Map workflows. Document undocumented processes. Find the use cases the customer doesn't even know they have.
• Build a use-case pipeline: a ranked, living backlog of agent and COP opportunities for you and the customer's leadership to review regularly. This backlog is how the account grows.

Solution Design & Rapid Prototyping

• Classify each problem as deterministic automation, AI automation, an AI agent, or a COP. Draft solution approaches in collaboration with CAW HQ architects.
• Prototype solutions yourself using Claude Code, Codex, or equivalent AI-assisted development tools. A working demo in under a week is the standard.
• Translate validated prototypes into structured specs — clear problem statements, acceptance criteria, scope boundaries, and success metrics — that CAW's engineers can productionize on Gantry without ambiguity.
• Work in tight weekly cycles: discover, prototype, validate, spec, hand off for production — and stay involved through delivery.

Customer Relationship & Adoption

• You represent CAW inside the customer's organization. Build deep trust with functional leaders and CXOs.
• Own delivery timelines, customer expectations, and escalations. You are the single point of accountability the customer sees.
• Ensure what gets built is what gets used. Drive adoption by working with the customer's end users, running training sessions, and instrumenting usage metrics.
• Know when to push (the customer is avoiding a hard decision) and when to listen (there's a real constraint you haven't understood yet).

Platform & Product Feedback Loop

• Surface structured insights back to the Gantry product team: capability gaps, integration friction, customer objections, and use case patterns that should become reusable agents or platform features.
• Spot which agents and patterns are reusable across customers so they can be added to CAW's library and accelerate the next engagement. Flag when a customer ask is a one-off vs. when it's a pattern many customers share.
• Deliver actionable, prioritized field intelligence — not a dump of Slack messages. Your feedback directly informs the Gantry roadmap.

What We're Looking For

• 4–7 years of experience in a customer-facing product or business analysis role, such as Product Manager, Business Analyst, Solutions Consultant, or Forward Deployed Engineer at a SaaS/AI company.
• Coding background - You have written code professionally or as part of product work. You understand APIs, data flows, and system architecture well enough to prototype, not just spec.
• Demonstrable AI-assisted development experience. Show us products,  prototypes, or internal tools you have built using Claude Code, OpenAI Codex, Cursor, or equivalent tools. We want to see output, not claims.
• Heavy business analysis experience. You have demonstrable examples of walking into a domain with vague or undefined requirements, studying it deeply, and cracking the problem. We are not looking for project managers who track tickets — we want people who figure out what the tickets should be.
• Strong speccing discipline. You can write a clear, buildable spec with acceptance criteria that an engineer can work from without ambiguity.
• Client-facing experience. Proven ability to run discovery with enterprise customers, manage stakeholders with competing priorities, and build trust with functional leaders and CXOs.
• Comfort with ambiguity. You will walk into customer organizations with no playbook. You need to figure out what matters, fast.
• Excellent communication. You can translate between a non-technical business leader and an engineer in the same meeting.
• Willingness to be on-site. This is an embedded role, not a remote one.
• Experience with AI/ML platforms, agent frameworks, automation tools, or enterprise SaaS is strongly preferred.
• A bias toward doing, not analyzing. You are measured by use cases shipped to production and prototypes that land, not decks presented.

Job Description – Senior Technical Business Analyst

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

About the Role

We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.

As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.

Key Responsibilities

Business & Analytical Responsibilities

• Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
• Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
• Break down business needs into concise, actionable, and development-ready user stories in Jira.

Data & Technical Responsibilities

• Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
• Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
• Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
• Validate and ensure data quality, consistency, and accuracy across datasets and systems.

Collaboration & Execution

• Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
• Assist in development, testing, and rollout of data-driven solutions.
• Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.

Required Skillsets

Core Technical Skills

• 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
• Data Analytics: SQL, descriptive analytics, business problem framing.
• Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
• Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
• Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.

Soft Skills

• Strong analytical thinking and structured problem-solving capability.
• Ability to convert business problems into clear technical requirements.
• Excellent communication, documentation, and presentation skills.
• High curiosity, adaptability, and eagerness to learn new tools and techniques.

Educational Qualifications

• BE/B.Tech or equivalent in:
• Computer Science / IT
• Data Science

What We Look For

• Demonstrated passion for data and analytics through projects and certifications.
• Strong commitment to continuous learning and innovation.
• Ability to work both independently and in collaborative team environments.
• Passion for solving business problems using data-driven approaches.
• Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.

Why Join Us?

• Exposure to modern data platforms, analytics tools, and AI technologies.
• A culture that promotes innovation, ownership, and continuous learning.
• Supportive environment to build a strong career in data and analytics.

Skills: Data Analytics, Business Analysis, Sql

Must-Haves

Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R

EverestEngineering -Software Engineering when you need it. High quality, scalable, distributed development teams are ready to help you now. Sustainable software development. Fit for purpose. Doing the right thing both for our customers and for yours.

As a team, we are passionate and motivated by the impact our organization can have on our customers, employees, the industry, and the world. We are here to accelerate software innovation by digitally connecting the global workforce. Through our experience, we know that working with remote teams and getting it right can become a competitive advantage for organizations. We want to provide this advantage to customers and partners that are trying to have a positive impact on the world through software innovation

Excellence is at the forefront of our mission. We see an opportunity to shift the narrative of working with offshore teams - from a frustrating cost-cutting exercise to a beneficial value addition.https://everest.engineering/

Our experience means we understand the problems software companies face trying to build offshore distributed teams because we've been there before ourselves.

We work iteratively together to manage these problems for you, or to provide extra capacity in peak times so that you can do what you do best – deliver amazing innovations and delighting your customers
To see the quality of our code, you can checkout some of our open source projects: https://github.com/everest-engineering" target="_blank">https://github.com/everest-engineering

Specialties- 

Big Data, Web Development, Mobile Development, Agile Development, Data Analytics, Software Product Development, and Remote Working

HeadQuarters- Melbourne, Victoria

We love people who in general - 

• have a passion to own and create amazing products.
• are able to clearly understand the customer’s problem.
• are a good collaborative problem solver.
• are a really really good team player.
• are open to learn from others and teach others.
• are able to take the meaningful feedback and improve continuously.
• can commit to inclusion, equality & diversity.
• can maintain integrity at work.

You are the one if - 

• you love solving problems.
• you have a keen interest in understanding and analysing the customer problems and solutions. 
• you possess good listening, communication (verbal & written) and presentation skills.
• you can empathise easily with customers.
• you can facilitate and lead workshops that generate customised business solutions.

• analyse the as-is system and collaborate with clients to create artefacts (personas, journeys, epics, stories, to-be system etc.) to outline business vision, objective, product roadmap, and a project release plan.
• effectively manage the scope and constraints of the project.
• work in agile teams that help in the successful delivery of a project.
• effectively prioritise and obtain buy-in from all the stakeholders to help the team with the requirements.
• write detailed stories to help the team understand the requirements.
• demonstrate flexibility in picking up things/roles needed for the successful delivery of the project. 
• collaborate with the UX team to understand and contribute to the user research & design process.
• be an effective liaison between the client and your team to manage the product backlog and keep an eye on the software delivery.

What will you be doing at Enalo?

• Understand the problem statement and derive potential product solutions.
• Conduct market research, competitor analysis and user research.
• Collaborate with multiple teams to take the product forward.
• Participate in product strategy, build a roadmap and execute to bring products to life.
• Manage product requirement definition and feature identification for future initiatives, including documentation of prioritized feature sets and use cases.
• Lead the development and QA teams at the appropriate times to realise the goals of the product.
• Own scrum and all the related activities like sprint planning, and release.
• Create user stories and use cases for product features.
• Look for roadblocks and mitigate risks.
• Organize daily stand-ups, brainstorming and review sessions.
• Maintain backlogs and prioritize them effectively.
• Experience the product as an end-user and identify gaps to make the product better. And ensure users can see the value of the product!
• Craft product presentations and do demos.
• Define product metrics and speak through data.
• Be a driving force in assembling the resources necessary to ship high-impact products and features, and facilitate communication throughout the development process.
• Work with the release process and support teams to ensure that the product is released successfully and any issues in production are resolved quickly.
• Measure and analyse the success of a product or feature using internal tools as well as tools like Google Analytics
• Efficiently manage agile development of the product.
• Contribute to the product's 'Go To Market' Strategy.

Skills required :

• Strong familiarity with product development, user flows and UI experience.
• Proven ability to successfully manage all phases of the product development lifecycle.
• Expertise with web/mobile analytic tools.
• Excellent organizational, statistical, strategic thinking, problem-solving, analytical, written and oral presentation and communication skills.
• Strong understanding of agile management (Scrum).
• Ability to break the ground through research and data analysis.
• Good collaboration, design thinking and presentation skills.
• Affinity to marketing.
• Preferred experience in product development as an engineer
• Preferred experience in a product company
• Experience in building or working with an early-stage tech product startup would be a plus.
• Excellent organizational, statistical, strategic thinking, problem-solving, analytical, written and oral presentation and communication skills.
• Experience in B2B SaaS/Payments will be added advantage.

• Should be independent contributor.
• Writing individual user stories that are very clear and concise and are easy to understand and implement by the development team.
• Identifying related user stories and epics, grouping them into themes as necessary and documenting the interrelationship and associated business process flows as necessary
• Prepare EPICS, Themes , User Stories and maintain product backlog, release backlog
• Constantly groom user stories, update acceptance criteria and keep the backlog up-to date
• Reviews, explain, orally, visually user stories, functional aspect of the system
• Participate in sprint review meetings, accept stories that meet the user acceptance criteria
• Manage changes to the stories, split user stories as appropriate
• Preparation of Documentation, Help files, and other project documentation to assure quality of the products and tests to be developed.
• Serve as a liaison with the business community and IT to ensure that changes are understood.
• Promptly escalate issues, which affect product delivery and quality that are beyond scope of influence and report same to Project Lead/technical lead

• Experience in functional decomposition of requirement in a logical manner.
• Ability to articulate functional acceptance criteria.
• Ability to draw visuals manually or using any tool to present functionality and system behavior
• Ability to interview users and capture user requirement as stories
• Client interactions during the project/product life cycle
• Good analytical skills
• 3-5 years of experience in Agriculture domain.
• Over all understanding of ERP, SCM, CRM kind of business process for better comprehension
• At least 1 full life cycle development experience of Concept to Delivery
• Hands on tools like JIRA, TFS kind of requirement management repositories
• Working experience of 3-5 years of Agile based projects as B.A. and aware of all nuances of Agile, SCRUM methodologies.