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Senior Product Manager
Senior Product Manager

Senior Product Manager at Techvibz LLP · Remote, Bengaluru (Bangalore) · 5 - 10 years · ₹15L - ₹28L / yr · Bootstrapped · Remote friendly · Posted 24 Oct 2024

Techvibz  LLP 's logo

Senior Product Manager

Akshatha Nayak's profile picture
Posted by Akshatha Nayak
5 - 10 yrs
₹15L - ₹28L / yr
Remote, Bengaluru (Bangalore)
Skills
Microsoft Windows Azure
Product development
SaaS
Cloud Computing

Responsibilities: 

 

1.                  Lead the strategic planning, development, and launch of Azure integration capabilities within our flagship product ensuring a seamless and efficient integration process. 

2.                  Conduct market research and engage with customers to understand their needs and challenges related to Azure cloud services. 

3.                  Collaborate with engineering, design, and sales teams to define product requirements, roadmaps, and go-to-market strategies for Azure Launch. 

4.                  Deliver actionable product feature requirements and stories with wireframes (hands-on work is required here) 

5.                  Drive feature delivery to customers and conduct feedback loop based improvements. 

6.                  Stay abreast of Azure services and cloud industry trends to ensure our product remains competitive and innovative. 

  

Required Experience and Skills: 

 

·                    Bachelor's degree in computer science, Engineering, Business, or a related field. A master's degree or an MBA would be a plus. 

·                    4+ years of experience in a product management role, ideally in a cloud-based product environment. 

·                    Strong understanding of Azure services, cloud computing technologies, and SaaS platforms. 

·                    Experience building features/ solutions in Cloud Management/Cloud Operations in FinOps, SecOps, Cloud IT Ops. 

·                    Experience with Azure Migration, Azure CloudOps configuration, Managed Services is a plus 

·                    Passion for Automation and simplification of complex IT processes 

·                    Proven track record of managing all aspects of a successful product throughout its lifecycle. 

·                    Excellent communication, leadership, and interpersonal skills. 

·                    Ability to work in a fast-paced, dynamic environment and handle multiple tasks simultaneously. 

·                    Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic startup environment. 

·                    Excellent written and verbal communication skills, with experience in creating customer-facing technical documentation such as user guides and release notes. 

·                    Comfortable with ambiguity and able to prioritize tasks in a rapidly changing environment. 

·                    Demonstrated success in defining and launching products would be a plus. 

 

Success Factors: 

·                    You bring curiosity and passion for continuous learning. 

·                    You enjoy ideating, simplifying and solving problems that create value for customers. 

·                    You have an entrepreneurial mindset. 

·                    You bring a growth mindset and value collaborative approach to growing others and yourself. 

·                    You have an ownership mindset to areas you take on, and you are a self-starter that can work independently when needed. 

 


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Techvibz LLP

Founded :
2019
Type :
Products & Services
Size
Stage :
Bootstrapped

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Indian Registered name: Buyers Road India Private Limited


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Md Salman
Posted by Md Salman
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Bengaluru (Bangalore)
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Experience - 4 to 6 Years

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We’re hiring Product Managers to own product lines within our LOS platform end-to-end. You’ll work directly with credit union clients to gather requirements, write user stories, run sprints with your engineering pod, manage vendor integrations, and ship features used by real customers. You’ll also lead full client implementations — from discovery to go-live.


Beyond execution, you’ll help shape the platform roadmap by identifying patterns across clients and driving what should be configurable vs. custom to scale the product. This is a high-ownership, hands-on role — focused on real problem-solving, close collaboration with users and engineers, and making practical trade-offs to deliver impact.


A typical week looks like

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Required:

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  • US home equity / HELOC product experience
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Sweety S
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  • Drive adoption of AI across the product lifecycle and SDLC, including discovery, requirements management, development, testing, analytics, documentation, and support.
  • Contribute to enterprise-wide AI initiatives and help scale successful AI PoCs into production-ready solutions.

Presales, Consulting & Solutioning

  • Lead or contribute to RFP responses, proposals, client discovery sessions, workshops, and solution presentations.
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  • Partner with UX, engineering, QA, architecture, and delivery teams to ensure successful product execution and delivery.
  • Facilitate sprint planning, backlog refinement, UAT/SIT activities, release planning, production validation, and defect prioritization.
  • Monitor product KPIs, delivery metrics, adoption, business outcomes, risks, and dependencies.
  • Drive stakeholder alignment and continuous improvement throughout the product lifecycle.
  • Mentor and guide Product Managers and product team members to strengthen product thinking, decision-making, stakeholder management, and delivery excellence.

Customer & Business Outcomes

  • Leverage customer feedback, product analytics, experimentation, and market insights to drive continuous product improvement.
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Core Competencies

  • Product strategy, discovery, roadmap planning, prioritization, and backlog management.
  • Generative AI, AI product thinking, AI use-case identification, and digital innovation.
  • Presales, consulting, solutioning, RFP response management, and client engagement.
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  • Excellent communication, presentation, facilitation, and stakeholder management skills.
  • Strong understanding of Agile/Scrum methodologies and end-to-end product delivery.
  • Ability to collaborate effectively with engineering, architecture, UX, QA, data, and AI/ML teams.
  • Strong analytical, problem-solving, and decision-making capabilities.
  • Ability to manage ambiguity, multiple workstreams, and senior client stakeholders.

Qualifications

  • B.E./B.Tech in Computer Science, Information Technology, Engineering, or an equivalent discipline.
  • MBA or certifications in Product Management, Business Analysis, or related fields preferred.
  • 10+ years of experience in Product Management, Product Ownership, or Business Analysis.
  • Experience working in Agile/Scrum environments with cross-functional technology teams.
  • CSPO, PSPO, CBAP, or CCBA certifications are desirable.
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Sakshi A
Posted by Sakshi A
Remote only
10 - 14 yrs
Best in industry
Product Management
Presales
Product Strategy
Product launch
Generative AI
+2 more

Roles & Responsibilities

Product Strategy & Discovery

  • Identify customer, business, and market opportunities through stakeholder engagement, customer research, discovery workshops, and data analysis.
  • Define product vision, roadmap, value proposition, success metrics, and prioritization aligned with business objectives.
  • Translate business and customer needs into product requirements, user stories, PRDs, and acceptance criteria.
  • Own and continuously prioritize the product backlog based on business value, feasibility, dependencies, risks, and strategic priorities.


AI & Digital Innovation

  • Identify and evaluate opportunities to leverage Generative AI, automation, and emerging technologies across products and business processes.
  • Define AI-focused use cases, business cases, success metrics, user journeys, and MVP/PoC strategies.
  • Collaborate with AI/ML, data, architecture, and engineering teams to convert AI opportunities into scalable product solutions.
  • Drive adoption of AI across the product lifecycle and SDLC, including discovery, requirements management, development, testing, analytics, documentation, and support.
  • Contribute to enterprise-wide AI initiatives and help scale successful AI PoCs into production-ready solutions.


Presales, Consulting & Solutioning

  • Lead or contribute to RFP responses, proposals, client discovery sessions, workshops, and solution presentations.
  • Understand client challenges and translate them into digital transformation, modernization, and AI-driven product opportunities.
  • Develop solution concepts, use cases, product capabilities, roadmaps, value propositions, and implementation strategies.
  • Partner with engineering, UX, architecture, delivery, and commercial teams to define scope, estimates, assumptions, dependencies, risks, and solution feasibility.
  • Support client engagements and identify opportunities for account growth through product enhancements, modernization initiatives, and AI adoption.


Product Delivery & Governance

  • Partner with UX, engineering, QA, architecture, and delivery teams to ensure successful product execution and delivery.
  • Facilitate sprint planning, backlog refinement, UAT/SIT activities, release planning, production validation, and defect prioritization.
  • Monitor product KPIs, delivery metrics, adoption, business outcomes, risks, and dependencies.
  • Drive stakeholder alignment and continuous improvement throughout the product lifecycle.
  • Mentor and guide Product Managers and product team members to strengthen product thinking, decision-making, stakeholder management, and delivery excellence.


Customer & Business Outcomes

  • Leverage customer feedback, product analytics, experimentation, and market insights to drive continuous product improvement.
  • Lead adoption and successful rollout of new capabilities through effective stakeholder engagement, communication, and change management.
  • Ensure products and solutions deliver measurable customer, business, and operational outcomes.


Core Competencies

  • Product strategy, discovery, roadmap planning, prioritization, and backlog management.
  • Generative AI, AI product thinking, AI use-case identification, and digital innovation.
  • Presales, consulting, solutioning, RFP response management, and client engagement.
  • Strong business acumen with the ability to connect technology initiatives to business outcomes.
  • Excellent communication, presentation, facilitation, and stakeholder management skills.
  • Strong understanding of Agile/Scrum methodologies and end-to-end product delivery.
  • Ability to collaborate effectively with engineering, architecture, UX, QA, data, and AI/ML teams.
  • Strong analytical, problem-solving, and decision-making capabilities.
  • Ability to manage ambiguity, multiple workstreams, and senior client stakeholders.


Qualifications

  • B.E./B.Tech in Computer Science, Information Technology, Engineering, or an equivalent discipline.
  • MBA or certifications in Product Management, Business Analysis, or related fields preferred.
  • 10+ years of experience in Product Management, Product Ownership, or Business Analysis.
  • Experience working in Agile/Scrum environments with cross-functional technology teams.
  • CSPO, PSPO, CBAP, or CCBA certifications are desirable.

Location - India (Remote)

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Building enterprise data, cloud, and AI solutions.
Building enterprise data, cloud, and AI solutions.
Agency job
via by Nikita Sinha
Bengaluru (Bangalore)
9 - 16 yrs
Upto ₹45L / yr (Varies
)
Cloud Computing
Infrastructure
ITSM
ITIL
Client Management
+1 more

What You’ll Do:

In the Platform (30–40% of your time)

  • Review cloud and data architectures to identify gaps and risks.
  • Lead technical triage on P1 incidents — be comfortable on bridge calls and know the right questions to ask.
  • Stay hands-on with automation, scripting, and platform operations; you're not above writing the runbook yourself.
  • Conduct FinOps reviews including cost anomaly analysis, licence audits, and resource right-sizing, bringing a technical and commercial lens.
  • Stress-test transition readiness and define the gates before services move into BAU.

Running the Service (60% of your time)

  • Own SLA performance and the RAID log across multiple client engagements.
  • Lead sprint retrospectives and daily stand-ups with a strong understanding of Agile ways of working.
  • Create executive service review packs that are crisp, data-driven, and actionable.
  • Manage the Run / Change / Project boundary and protect BAU capacity from scope creep.
  • Mentor and performance-manage a team of engineers, with a strong understanding of technical quality and delivery.
  • Navigate commercial structures including fixed retainers, capacity tokens, and NTE caps.

With Clients

  • Build trusted relationships with CXO and VP-level stakeholders through technical credibility.
  • De-escalate challenging situations with empathy, clarity, and precision.
  • Run effective Executive Business Reviews (EBRs) that build client confidence and demonstrate tangible value.

What We’re Looking For


You came up through the technical side — cloud engineering, data engineering, platform, or DevOps — and over time started solving problems beyond purely technical challenges. You now want a role that explicitly combines technical depth, service delivery, operations, and client leadership.

Specifically:

  • 8+ years of experience working in cloud and data environments, with meaningful experience in managed services or operational delivery.
  • Hands-on expertise in at least one major platform: Azure, AWS, GCP, Snowflake, or Databricks.
  • Ability to read infrastructure and diagnose issues at the code/configuration level, not just through dashboards.
  • Experience managing complex client relationships, including difficult or escalated conversations.
  • Practical working knowledge of ITIL (Incident, Problem, Change) and Agile methodologies.
  • Commercial exposure to SOW management, scope negotiation, and capacity planning.
  • Strong operational judgment developed through handling critical incidents and making decisions with incomplete information.
  • Strong communication, stakeholder management, and team leadership skills.

You don't need to have had "Service Delivery Manager" in your previous title. If your background is in senior data, cloud, platform, or DevOps engineering and you've also handled operations, governance, service delivery, and client-facing responsibilities, we'd like to hear from you.


What You’ll Get

  • Opportunity to work across industries, clients, and technologies.
  • Exposure to global businesses and complex technology environments.
  • Access to technical IP, frameworks, playbooks, and accelerators.
  • Exposure to a broad ecosystem of technologies.
  • Mentorship and support from experienced senior consultants and technical leaders.
  • Strong learning and development support, including certifications, training, hackathons, and mentoring.
  • Transparent career progression and structured performance reviews.
  • Opportunities to strengthen public speaking, consulting, and leadership skills.
  • Comprehensive health insurance.
  • Recognition, rewards, and long-term incentives.
  • A collaborative environment with regular team and social activities.


Interview Process

The interview process consists of four stages:

  1. Technical Online Screening – Baseline assessment of problem-solving and technical capabilities.
  2. Introductory & Cultural Assessment – Discussion around experience, career goals, and alignment.
  3. Technical Assessment – Detailed evaluation of technical competency by the technical panel.
  4. Final Round – Final assessment covering technical depth, leadership, and overall fit.
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company logo
Shakthi M
Posted by Shakthi M
Bengaluru (Bangalore)
5 - 14 yrs
Best in industry
skill iconPython
Azure
Terraform
DevOps
  • Strong hands-on experience in Microsoft Azure Cloud.
  • Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
  • Basic understanding of Azure AI Foundry and AI-related Azure service setup.
  • Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
  • Strong knowledge of Terraform, especially:
  • Terraform state
  • plan / apply
  • troubleshooting failures
  • migration risks
  • Terraform Enterprise concepts
  • Strong Python coding capability, not just basic scripting.
  • Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
  • Good understanding of CI/CD pipelines.
  • Ability to troubleshoot pipeline failures.
  • Comfortable with YAML and JSON.
  • Ability to troubleshoot Azure infrastructure/platform issues.
  • Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
  • Basic awareness of agentic AI / LLM concepts.
  • Awareness of security and cost best practices.

Good to Have Skills

  • Hands-on experience with Harness.
  • Hands-on experience with Terraform Enterprise.
  • Exposure to LangGraph / LangChain.
  • Exposure to agentic AI workflows or skill creation.
  • Exposure to Claude or enterprise LLM integrations.
  • Knowledge of Azure ML Workspace, model registry, and managed endpoints.
  • MLOps / LLMOps knowledge.
  • FinOps / Azure cost optimization experience.
  • Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

 

Screening Priority:

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

 

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