QA Engineer

About Aedeon

Aedeon is the agent-native modernization platform for the enterprise. We turn the systems already running the business, applications, databases, data platforms, business rules, and workflows, into governed AI agents, grounded in a persistent Code Intelligence Graph of the customer's own code and verified through behaviour-equivalence proof. Aedeon is delivered as a product, not a services engagement, and runs without mandatory forward-deployed engineers.

You'll be the Product Manager for Aedeon, accountable for ensuring every release ships on time and to the quality the founders signed off on. The founders write product notes that set what gets built and why. You take those notes and turn them into epics, acceptance criteria, sequenced releases, and the daily scrum cadence that enables shipping. Founders own the strategy. You own the finish line.

This is a delivery-heavy role with real product craft. You'll decompose product notes into epics, write the acceptance criteria that define when an epic is actually done, make intra-release prioritization calls when reality forces trade-offs, and review the product every single day so issues surface before customers see them. You'll run scrum, own the release cycle, and be the person engineering looks to when "is this on track?" needs an honest answer.

You won't be the primary voice for customers. The founders and GTM team bring the customer signal. You won't set the strategic direction. The founders write the product notes. What you will do is take a clear strategic input and convert it into a shipped product, on a cadence that enterprise customers can plan against.

We're looking for someone who came up through engineering before moving into product. You should read code comfortably, sit in agent-design reviews with a technical opinion, and push back on engineering estimates when the math doesn't add up. Aedeon's engineers are senior. The PM needs to operate at their level on the technical questions and own the product judgment, they don't.

What will you do?

Decomposition and Planning

• Take founder-written product notes and decompose them into epics, stories, and engineering-ready work items.
• Combine epics into releases with realistic dates. Defend the dates against scope creep and against unrealistic compression.
• Maintain the release plan as a living document. When reality shifts, the plan shifts with it, transparently.

Acceptance Criteria and Definition of Done

• Write the acceptance criteria for every epic. What "done" looks like is your call, anchored to the product note.
• Define release readiness: what must be true before a release ships. Test coverage, behaviour-equivalence verification, governance hooks, customer-facing documentation.
• Sign off on epics before they go to release. No epic ships without your acceptance.

Intra-release Prioritization

• Make day-to-day prioritization calls within a release: which bug first, which epic blocks which, what gets cut when the math doesn't work.
• Escalate to founders only when a decision crosses the strategic line. Inside that line, you decide.

Daily Product Review

• Review the product every single day. Use it like a customer would. Find the issues before customers do, and route them to the right engineer.
• Maintain a running quality bar that the team can point at. "Would I demo this today?" is the test.

Scrum and Release Cycle

• Own the scrum calls: planning, daily stand-ups, retrospectives.
• Own the release process end-to-end: cut, validate, ship, post-release review.
• Coordinate with DevOps and engineering on the deployment pipeline. Keep it clean and repeatable.

Release Accountability

• The founders set the release. You ship it.
• Surface blockers and risks with enough lead time to mitigate. No surprises on release day.
• After every release: what shipped, what landed, what didn't, what needs iteration. Write the retro, share it, and apply the lessons.

What are we looking for?

Product Management Experience

• 5 to 8 years in product management at a B2B SaaS or developer tools company.
• Owned the delivery of a product surface end-to-end at least once: scope to ship to post-release iteration.
• Strong written communication. Acceptance criteria, release plans, scrum notes, decision docs, retros. The PM's job is partly written; the writing must be good.

Engineering Background

• Came up through engineering. Built and shipped production software for at least 3 years before moving into product.
• Read Python comfortably. Read other common languages (Java, TypeScript, SQL) well enough to follow a code review or a design doc.
• Comfortable in design reviews for distributed systems, agent orchestration, or data pipelines. Has an opinion, not just questions.

Delivery Discipline

• Treats commitments as commitments. If a release date is on the calendar, you defend it or renegotiate it openly. You do not silently slip.
• Runs scrum cleanly. No theater. The ceremonies exist to remove blockers, not to fill time.
• Treats acceptance criteria, release plans, and retros as first-class deliverables, not paperwork.

Operating Mindset

• Comfortable in a founder-led product environment where strategy comes from above and you own execution.
• Bias to action. Decisions made and revised beat decisions deferred.
• Strong English communication, written and spoken. You'll be in product reviews and customer-impacting release discussions.
• Available to work with US business hours from India.

You'll be preferred if

• Enterprise modernization domain (mainframe, SAP, Oracle, large Java / .NET estates) or AI/agent orchestration product experience.
• Familiarity with AWS production environments (EKS, ECS, Bedrock, DynamoDB).
• Exposure to regulated industries (BFSI, healthcare, insurance) and the release discipline they require.
• Prior experience as the only or first PM at a company.

Job Description:

Position: Senior Manager- Data Analytics (Fintech Firm)

Experience: 5-8 Years

Location: Mumbai-Andheri

Employment Type: Full-Time

About Us:

We are a dynamic fintech firm dedicated to revolutionizing the financial services industry through innovative data solutions. We believe in leveraging cutting-edge technology to provide superior financial products and services to our clients. Join our team and be a part of this exciting journey.

Job Overview:

We are looking for a skilled Data Engineer with 3-5 years of experience to join our data team. The ideal candidate will have a strong background in ETL processes, data pipeline creation, and database management. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines.

Key Responsibilities:

• Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources.
• Build and maintain efficient data pipelines to support real-time and batch data processing.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Optimize database performance and ensure data integrity and security.
• Troubleshoot and resolve data-related issues and provide support for data operations.
• Implement data quality checks and monitor data pipeline performance.
• Document technical solutions and processes for future reference.

Required Skills and Qualifications:

• Bachelor's degree in Engineering, or a related field.
• 3-5 years of experience in data engineering or a related role.
• Strong proficiency in ETL tools and techniques.
• Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with big data technologies
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of data warehousing concepts and tools 
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning and data science principles.
• Experience with real-time data processing and streaming platforms (e.g., Kafka).

What We Offer:

• Competitive compensation package (10-15 LPA) based on experience and qualifications.
• Opportunity to work with a talented and innovative team in the fintech industry..
• Professional development and growth opportunities.

How to Apply:

If you are passionate about data engineering and eager to contribute to a forward-thinking fintech firm, we would love to hear from you.

• Handling product and process development, nutrition profiling, claims development, shelf life testing, manufacturing scale up
• Managing projects - working with team on product, process, packaging development, regulatory, nutrition, manufacturing scaling up
• Being the point of contact for client - weekly project tracking, working with the client and other stakeholders to ensure on time in full delivery of the project

Desired Candidate Profile

Job Description:-

• Must have 8 years of relevant exp in SAP PP, QM Module.
• Must have 4+ years of SAP PP Experience with at least 2 to 3years of Domain exp
• Must have experience of both PP and QM modules
• Should have experience of executing 1-2End to end Implementations (S4 HANA Preferable).
• Expertise in requirements understanding, system design, development, testing methodologies, training, defining support procedures
• Strong knowledge and experience in SAP PP - SOP, Flexible planning, Capacity planning, Variant Configuration, CBP, Discrete, REM, LTP, Engineering & Organization Change Management, Batch Management as well as PP-PI processes.
• Strong knowledge and experience in SAP QM module - Master data, Batch Management, Notifications, Sample Management, Quality Inspection Plans, Quality Certificates, Stability Study, Deadline Monitoring, Vendor Evaluation.
• Experience in Implementation and Support Projects. In-depth knowledge in the below areas:
• Master Data - Bill of materials, Work centres/ Resources, Routings/ Recipe, Production versions, Inspection Plan, Master inspection, Characteristics, Catalogues and Code groups, Inspection Plan, - Material Requirement Planning (MRP)- Configuration and Integration with, Procurement, Sales and Distribution.
• Production Order Execution - Order confirmation, Goods issue, Goods receipt and Back flushing- Quality Management - Quality in Procurement, Quality in Production, In process inspection, Calibration and Quality in Sales
• Should have experience in writing Functional Specification, co-ordination with ABAP team, testing of new functionalities.
• Must have integration knowledge with FI, CO, SD, MM, PM modules.

Good to Have:

• Preferred if hands-on and good experience in SAP S/4 HANA configuration, migration, Fiori applications on latest HANA releases