Sales Lead - Social Edtech (CSR/NGOs/Government/Schools)

Conceptualize, design, and develop innovative soft home furnishing products such as decorative cushions, bedspreads, curtains, throws, and table linen for export markets.

Create detailed CADs and design presentations using Adobe Photoshop and other computer-aided design tools.

Research and forecast international color, fabric, print, and market trends to develop commercially viable product collections.

Understand buyer requirements, themes, and specifications to create customized product designs and samples accordingly.

Coordinate with tailors, artisans, and production teams for sample development and execution of new product ideas.

Ensure timely completion of sampling, product development, and design approvals as per buyer deadlines.

Maintain high standards of creativity, quality, and attention to detail in all design and development activities.

Work closely with merchandising and production teams to ensure smooth communication and workflow.

Prepare design sheets, product specifications, and presentations for internal teams and buyers.

Use MS Office applications such as Excel, Word, and Outlook for documentation, reporting, and communication purposes.

Possess strong organizational, interpersonal, and communication skills with the ability to work proactively in a team environment.

Candidate should have a good command of written and spoken English and preferably be based in Gurgaon.

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.

🚀 Hiring: Data Engineer ( Azure )

⭐ Experience: 5+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Hiring: Databricks Data Engineer – Lakeflow | Streaming | DBSQL | Data Intelligence

We are looking for a Databricks Data Engineer to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.

🔹 Key Responsibilities

• Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)
• Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing
• Develop Structured Streaming pipelines with watermarking, late data handling & restart safety
• Implement declarative pipelines using Lakeflow
• Design idempotent, replayable pipelines with safe backfills
• Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)
• Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications
• Package and deploy using Databricks Repos & Asset Bundles (CI/CD)
• Ensure governance using Unity Catalog and embedded data quality checks

✅ Mandatory Skills (Must Have)

1. Databricks & Delta Lake (Advanced Optimization & Performance Tuning)
2. Structured Streaming & Autoloader Implementation
3. Databricks SQL (DBSQL) & Data Modeling for Analytics

Strong Product Designer Profile

Mandatory (Experience 1): Must have a 3+ years of experience as a Product Designer in B2C companies working on live digital products end-to-end (preferably fintech, investment, or consumer apps).

Mandatory (Experience 2): Experience in 1 to 10 product journeys — identifying user pain points, fixing UX breakages, and launching new product initiatives.

Mandatory (Skill 1): Strong command of UX design, user flows, wireframing, and prototyping using Figma or equivalent tools.

Mandatory (Skill 2): Proficiency in UI design systems, visual hierarchy, and user - centered problem-solving with clear reasoning behind design decisions.

Mandatory (Portfolio): Must showcase real, shipped products (minimum 2–3 live products) where the designer has driven impact — passion projects or conceptual redesigns are not acceptable

Mandatory (Company): Top / Well-Funded B2C Product Companies

Requirements

• Extensive and expert programming experience in at least one general programming language (e. g.

Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.

• Experience with multi-threading and concurrency programming.

• Extensive experience in object oriented design skills, knowledge of design patterns, and a huge passion

and ability to design intuitive modules and class-level interfaces.

• Excellent coding skills - should be able to convert design into code fluently.

• Knowledge of Test Driven Development.

• Good understanding of databases (e. g. MySQL) and NoSQL (e. g. HBase, Elasticsearch, Aerospike etc).

• Strong desire to solve complex and interesting real world problems.

• Experience with full life cycle development in any programming language on a Linux platform.

• Go-getter attitude that reflects in energy and intent behind assigned tasks.

• Worked in a startup-like environment with high levels of ownership and commitment.

• BTech, MTech or Ph. D. in Computer Science or related technical discipline (or equivalent).

• Experience in building highly scalable business applications, which involve implementing large complex

business flows and dealing with huge amounts of data.

• 3+ years of experience in the art of writing code and solving problems on a large scale.

• Open communicator who shares thoughts and opinions frequently, listens intently, and takes

constructive feedback.

Data Engineer- Senior

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What are you going to do?

Design & Develop high performance and scalable solutions that meet the needs of our customers.

Closely work with the Product Management, Architects and cross functional teams.

Build and deploy large-scale systems in Java/Python.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Create data tools for analytics and data scientist team members that assist them in building and optimizing their algorithms.

Follow best practices that can be adopted in Bigdata stack.

Use your engineering experience and technical skills to drive the features and mentor the engineers.

What are we looking for ( Competencies) :

Bachelor’s degree in computer science, computer engineering, or related technical discipline.

Overall 5 to 8 years of programming experience in Java, Python including object-oriented design.

Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, Airflow, Nifi etc.

Data Infrastructure: Should have experience in building, deploying and maintaining applications on popular cloud infrastructure like AWS, GCP etc.

Data Store: Must have expertise in one of general-purpose No-SQL data stores like Elasticsearch, MongoDB, Redis, RedShift, etc.

Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation.

Ability to work with distributed teams in a collaborative and productive manner.

Benefits:

Competitive Salary Packages and benefits.

Collaborative, lively and an upbeat work environment with young professionals.

Job Category: Development

Job Type: Full Time

Job Location: Bangalore

Skill requirement: 4+yrs exp in outbound sales and lead generation in a similar industry.  Excellent communication skills are a must. IT background preferred.

JD

1. Generate quality Leads from Online Sources starting by Searching the database ( Linkedin, Twitter, Facebook etc) or target audience (B2B) from the internet or other sources till generating suspects and prospects for the Sales Closure team
2. Locate the right person in the organization and Make the first pitch
3. Send solutions and Services marketing collateral/ material over email
4. Follow up, pitch, and convince the customer to try us/take a demo or free trial of services wherever we offer. 
5. Schedule an online meeting or discussion or chat with interested suspects through skype/phone for the sales closure team 
6. Use our sales CRM tool, and update it at every step of the process.
7. Maintain and build up a regular ongoing relationship with your suspects through skype, LinkedIn and other online social network sites sources
8. Validate Leads by following our Sales qualification process
9. Responsible for Data Mining and Market Research through the internet, Building databases, Proficient in secondary research.

Lead Engineer - 

Responsibilities:

• Leads a project end-to-end and collaborates across functions. Drives planning, estimation and execution.
• Understands requirements well and comes up with efficient design
• Develops complex, well backed and bug-free products. Estimates accurately.
• Takes well-reasoned tech decisions keeping in mind goals and trade-offs
• Becomes a go-to person in more than one area. Provide technical mentoring to team
• Communicates clearly, gets clarifications and establishes expectations for all parties
• Helps establish SDLC best practices and high standards of code quality
• Demonstrates excellent problem solving & debugging skills
• Proactively identifies and resolves issues in requirements, design and code
• Perform peer code reviews and help us all get better.

Requirements:

• Solid experience in JAVA and Kotlin.
• Should have experience in Reactive programming, Asynchronous programming and Unit Testing.
• Has an ability to quickly learn and contribute in multiple codebase.
• Overcomes roadblocks and requires minimal oversight
• Takes initiatives to fix issues/tech debts before assigned to him/her.
• Able to deep dive into codebase and advise QA of possible regression impact.
• Communicates tech decisions through design docs and tech talks.
• Has delivered projects with end-to-end accountability.
• Keeps track of industry trends and introduces right tech/tools for a given job.
• Excellent understanding of software engineering practices, Design Patterns, Data Structures, Algorithms.
• 5+ years of experience in a product-driven organisation.