Enterprise Product Manager - Zolvit 360 Enterprise

Job Description

This is a remote position.

Our Core Value

• Client Success: Our clients’ success is our success
• Extreme Ownership: We own our work and its outcomes fully
• Proactive Collaboration: Teamwork elevates us all 
• Quality with Pragmatism: We aim for excellence with a focus on practical solutions
• Effective Feedback: Honest, constructive feedback fosters improvement
• Proactive Collaboration: Teamwork elevates us all

Experience Level

​We're looking for a seasoned Product Manager with at least 4 years of experience building user-centric products. You should be a "product craftsperson" who can demonstrate a history of driving tangible, impactful results

Role Overview 

As a Product Manager, you will be responsible for the entire product lifecycle, from initial concept to launch and beyond. You'll act as the central hub, working with stakeholders and clients to define product roadmaps and success metrics.

A key part of your role will be to deeply understand customer and business needs and translate them into clear, actionable requirements for the development team. You will own the product backlog, analyze performance data to identify opportunities, and partner closely with design and engineering to ensure successful execution

Key Responsibilities

• Product Strategy & Execution: You will define and document product requirements, create and maintain a prioritized backlog, and ensure business needs are met throughout the design, development, and delivery phases.
• Data-Driven Decision Making: You will use your strong analytical and problem-solving skills to gather, analyze, and interpret data to prove or disprove hypotheses and guide product evolution. Expertise in Excel and SQL is essential for this.
• Stakeholder & Client Management: You will communicate with internal and external teams, including clients, to manage expectations, present product status, and gather feedback. Strong consultative, listening, and presentation skills are crucial.
• Cross-Functional Collaboration: You will coordinate with various teams—including design, engineering, sales, and support—to build, manage, and evolve the product. A solid understanding of software engineering concepts will help you drive product strategy effectively

Requirements

What We're Looking For

• Product Mindset: You'll be a central figure, coordinating with various teams to build and support the product
• Agile Experience: You must have experience working within Agile and Extreme Programming methodologies in a continuous deployment environment
• Technical Acumen: You should have a solid understanding of software engineering concepts to help drive product strategy
• Exceptional Communication: You should have strong consultative, listening, and presentation skills to effectively communicate with clients and stakeholders
• Analytical and Problem-Solving Skills: We need someone with a strong ability to understand complex business environments and to dive into data using Excel and SQL to derive meaningful insights.
• Attention to Detail: You will need to create clear and precise product documentation and assist in the sales and pre-sales process

Benefits

What We Offer 

• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.  
• Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk. 
• Cutting-Edge Projects: Work on exciting projects with the latest AI technologies   
• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance. 
• Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind. 
• And More: Extra perks to support your well-being and professional growth. 

Work Environment 

• Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards our customers recognize us by. With asynchronous tools and push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results. 
• Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered. 
• Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team. 

Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Senior Product Manager – AI / B2B SaaS

Location: Bengaluru

Work Mode: Work from Office

Experience: 5+ years

Department: Product Management

About LeadSquared

LeadSquared is a leading Sales CRM for high-velocity revenue teams, helping businesses manage leads, sales processes, customer interactions, marketing, and revenue workflows at scale.

We serve businesses where large sales teams manage high volumes of leads and customer interactions, making speed, prioritisation, automation, and effective sales execution critical to revenue growth.

Role Overview

We are looking for a Senior Product Manager – AI to own the roadmap and end-to-end execution of AI products within LeadSquared.

Key Responsibilities

• Own the roadmap, prioritisation, and end-to-end execution for your AI product area.
• Understand customer problems and identify where AI can create meaningful, scalable value and translate them into clear product requirements and scalable solutions.
• Drive products from discovery and 0→1 development through launch, adoption, and iteration.
• Build and scale end-user-facing AI experiences that work reliably within enterprise workflows. 
• Make informed product decisions considering quality, latency, and scale trade-offs in production AI systems.
• Work closely with Engineering, Design, AI/ML, Data, and GTM teams to ship high-quality products.
• Define and track product adoption, engagement, customer outcomes, and business impact.
• Drive GTM, adoption, and continuous product optimisation.

What We're Looking For

• 5+ years of Product Management experience.
• 2+ years of hands-on Product Management experience building AI products.
• Strong B2B SaaS product experience.
• Experience in 0→1 product development and launches.
• Strong product discovery, prioritisation, roadmap management, and execution skills.
• Familiarity with AI evaluations (evals), observability, guardrails, and human oversight.
• Data-driven approach with strong understanding of product metrics.
• Excellent communication, problem-solving, and stakeholder management skills.
• Candidates from Tier 1 / Tier 1.5 / Tier 2 colleges preferred.

Good to Have

• Experience building products using GenAI, LLMs, RAG, AI Agents / Agentic AI, or ML-based decision systems.
• Experience in CRM, SalesTech, MarTech, or Enterprise SaaS.
• Experience building AI products for sales, revenue, operations, or other enterprise users.
• Experience taking an AI capability from an early prototype to a reliable, scalable enterprise product.
• Candidates who have built AI side projects will have a preference. Share links to live products, prototypes, demos, GitHub repositories, agents, or apps you’ve built.
•  

Product Manager – AI/GenAI

Our AI platform that lets people ask questions of their enterprise data in natural language and get trustworthy answers. The hard part isn't the model — it's the fit between what the product can genuinely do and what customers actually need, over data that is never as clean as anyone hopes. We're hiring a Product Manager to own that fit: to do the detailed thinking on customer pain, competitive landscape, and where the technology is going, and to turn it into a sharp, defensible product proposition and roadmap. You'll work closely with the CTO (who currently carries this thinking) and become the person who owns the depth beneath it.

What you'll own

• Proposition & positioning. Take fuzzy capability and turn it into a clear, honest, defensible articulation of what Jiva is, who it's for, and why it wins. Kill the gap between what's sold and what's deliverable.

• Customer intelligence (within the current structure). Sales and Delivery own the customer relationship today; you build the customer picture through them —mining PoC post-mortems, win/loss, readiness audits, sales-call notes, and Delivery's ground truth. Extract real jobs-to-be-done, separate stated wants from underlying pain, and bring a synthesized customer voice into the room. Over time, earn a path to direct customer contact — but you'll start by getting more 

out of the signal the field teams already carry than anyone does today.

• Competitive & technology intelligence. Track the space — RAG, text-to-SQL, tabular/relational foundation models, agentic systems, the commercial players — and synthesize it into product direction. Know what's real and what's marketing.

• Requirements & roadmap. Translate the above into crisp requirements and a prioritized roadmap, in partnership with Engineering. Make the trade-offs explicit.

• Sales & Delivery enablement. Own the "what we can honestly promise" story so field teams stop overselling and start qualifying. You are the source of truth on capability boundaries.

Must-haves

• 5+ years in B2B / enterprise product management, ideally on data, analytics, AI/ML, or platform products.

• Demonstrated ability to frame a proposition — you can show us a product or feature where you turned raw capability into a positioning that won customers. Portfolio evidence, not a claim.

• Technical fluency in AI/data. You understand RAG, LLMs, text-to-SQL, and data quality well enough to judge feasibility vs. hype and to earn engineers' respect. You don't need to code; you need to reason.

• Customer discovery skill — and the resourcefulness to apply it 

indirectly. You've run structured discovery and can distinguish what customers say from what they need. Just as important here: you can extract sharp customer insight secondhand — through sales and delivery teams, deal histories, 

and product usage — because you won't have direct customer access on day one.

• Evidence-driven and structured. You validate before you evangelize. Strong written thinker — you can put a proposition on one page and defend it.

Nice-to-have

• Exposure to NL→SQL, semantic layers, knowledge graphs, or enterprise data governance.

• 0-to-1 or turnaround experience — comfort building the function, not just running it.

• Experience selling into or building for regulated / data-sensitive enterprises

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)

Technical Product Manager – BFSI & AI

Location: New Delhi, India (On-site)

Employment Type: Full-time

Experience: 4–8 years

Industry: BFSI / FinTech / Enterprise AI / B2B SaaS

About QubeLabs

QubeLabs is building the next generation of Enterprise AI Systems that transform workforce operations and intelligence for the financial services industry.

Our platform combines Conversational AI, Agentic AI, workflow automation, proprietary language models and enterprise intelligence to improve enterprise efficiency, productivity and customer experience.

Our flagship product, QubeLabs Workmate, is purpose-built for banks, NBFCs, MFIs, wealth management firms, insurance companies and fintechs across India and Europe.

Role Overview

We are looking for a Technical Product Manager – BFSI & AI to translate complex financial-services workflows and customer problems into clear product requirements and scalable technology capabilities.

You will work closely with the founders, Head of AI, engineering and business teams to drive the complete product lifecycle—from customer discovery and requirements definition to development, testing, deployment and continuous improvement.

This is a high-ownership role for someone who combines an understanding of BFSI business processes with strong product thinking and the ability to collaborate effectively with technical teams.

Key Responsibilities

1. Product Management & Requirements

Define product requirements, roadmaps and feature priorities for QubeLabs Workmate.

Translate customer needs and business problems into PRDs, functional specifications, user stories and acceptance criteria.

Design user journeys, process flows, business rules and expected product behaviour, including edge cases and exceptions.

Prioritize features based on customer value, business impact, technical feasibility and strategic objectives.

Drive features from concept through development, testing, release and post-launch improvement.

2. BFSI Workflows & Customer Discovery

Develop a deep understanding of workflows across banking, wealth management, stock broking, insurance, NBFCs and financial advisory.

Engage with relationship managers, wealth advisors, operations teams, contact centres and business leaders to identify pain points and automation opportunities.

Translate financial-services processes into scalable product capabilities.

Support customer discovery, product demonstrations, pilots, POCs and validation of new features.

Incorporate customer feedback and market insights into product priorities and the roadmap.

3. AI Product Development

Understand the practical capabilities and limitations of Generative AI, LLMs, AI Agents, RAG, Voice AI and workflow automation.

Define requirements for AI assistants, intelligent agents and AI-powered business workflows.

Work with the Head of AI to translate model capabilities, technical dependencies and constraints into product specifications.

Define expected AI behaviour, business rules, exception handling and measurable business outcomes.

Identify where AI is appropriate versus deterministic workflows and conventional business logic.

Understand the capabilities of QubeLabs' proprietary Vectro Series language models and their application to BFSI use cases.

4. Product & Engineering Collaboration

Work with AI and engineering teams to clarify requirements, assess feasibility and resolve implementation challenges.

Understand APIs, integrations, data flows, system dependencies and enterprise technology environments.

Participate in sprint planning, technical discussions, product reviews and architecture reviews where relevant.

Validate delivered features against requirements and lead functional and user acceptance testing.

Identify delivery risks, technical trade-offs and dependencies to ensure timely, high-quality releases.

Prototype or validate product concepts when required.

5. Product Strategy & Market Intelligence

Identify new product opportunities across financial services.

Evaluate customer needs, competitive products and emerging AI capabilities.

Develop industry-specific use cases and product propositions.

Collaborate with leadership to align product investments with customer demand, business objectives and long-term product strategy.

Experience & Qualifications

4–8 years of experience in Product Management, Business Analysis, BFSI Technology, FinTech or enterprise software.

Mandatory experience in BFSI, FinTech or financial-services technology.

Experience with enterprise products and collaboration with engineering or technology teams.

Working knowledge of at least one financial-services domain, such as banking, wealth management, stock broking, capital markets, insurance, NBFCs or financial advisory.

Experience in customer discovery, requirements gathering and product documentation.

Exposure to AI/Generative AI products is preferred but not mandatory.

Bachelor's degree from a recognized university; an MBA or equivalent qualification in product management or business is preferred.

Required Skills

Product Management

Requirements gathering, PRDs and functional specifications.

User stories, acceptance criteria and workflow design.

Roadmapping, prioritization and product lifecycle management.

Customer discovery, stakeholder management and product validation.

BFSI Domain Knowledge

Understanding of financial-services workflows, business processes and enterprise requirements.

Ability to engage with business users and translate operational challenges into technology solutions.

Technical Understanding

Working knowledge of AI/Generative AI, LLMs, AI Agents, RAG and Conversational AI.

Understanding of APIs, system integrations, data flows and cloud-based enterprise applications.

Ability to collaborate with AI and engineering teams on technical feasibility, dependencies and implementation trade-offs.

You do not need to be an AI engineer, but you must be comfortable understanding technical concepts and translating them into practical product requirements.

What Success Looks Like

Clear, implementation-ready product requirements and specifications.

Timely delivery of prioritized product features and roadmap milestones.

Successful launch and adoption of high-value AI-powered BFSI workflows.

Effective support for enterprise pilots, POCs and customer validation.

Strong alignment between customer needs, product priorities, AI capabilities and engineering execution.

Measurable improvements in customer productivity, operational efficiency and product engagement.

Why Join QubeLabs?

Build next-generation Enterprise AI Systems for financial services.

Work directly with founders and senior leadership in a high-ownership role.

Shape AI-powered products across banking, wealth management, brokerage and insurance.

Work at the intersection of BFSI, AI, enterprise intelligence and workflow automation.

Collaborate with teams developing QubeLabs' proprietary Vectro Series language models.

Contribute to enterprise markets across India and Europe.

Equal Opportunity

QubeLabs is an equal opportunity employer

committed to building a diverse and inclusive workplace where innovation thrives.

Senior Product Manager – Growth & Consumer Products (FinTech Preferred)

We're looking for a Senior Product Manager with 6+ years of product management experience, including the last 3+ years owning consumer-facing B2C products (app, onboarding, checkout, growth, or conversion funnels).

Must Have:

- Consumer product ownership (not backend/infrastructure-focused)

- Strong track record of improving conversion, engagement, revenue, or retention through A/B testing and data-driven experimentation

- Experience with analytics, funnels, cohorts, and product metrics

- Active use of AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) in product work

- Strong stakeholder management across business, engineering, and design teams

- Experience writing PRDs, user stories, and working in Agile environments

- Current or recent experience in a B2C product company (FinTech preferred; otherwise Series B+ startup)

Good to Have:

- Experience with AI/ML products, prompt engineering, LangChain, or RAG.

Product Manager / Associate Product Manager

Turn messy real-world problems into simple products.

AbleCredit builds software for complex enterprise workflows where AI, APIs, business rules, human decisions, and real-world operations have to work together reliably. We care about building products that work in production - not just in demos. Our customers don't arrive with clean product requirements. They have operational problems involving people, policies, existing systems, edge cases, and workflows built over years. Product at AbleCredit means understanding that complexity deeply and turning it into reusable, simple product capabilities.

What You'll Own?

• Spend time with customers and internal teams to understand workflows, constraints, and the real problem behind requests.

• Translate ambiguous operational problems into clear product requirements, user journeys, and measurable outcomes.

• Work closely with engineering and design from discovery through rollout rather than handing off specifications.

• Prioritize based on customer impact, product strategy, effort, risk, and reuse across customers.

• Define success metrics and evaluate whether shipped products actually improve the workflow.

• Own launches, feedback loops, adoption, and iteration after release.

• Identify patterns across customer requests and turn them into reusable platform capabilities instead of one-off customizations.

• Maintain clarity on what we are building, why we are building it, and what we deliberately are not building.

What We're Looking For?

• 1-5 years of product, engineering, analytics, consulting, operations, or adjacent experience; level will be calibrated to experience.

• Strong problem decomposition and structured thinking.

• Ability to understand technical systems, APIs, data flows, and constraints well enough to work deeply with engineers.

• Excellent written and verbal communication.

• Comfort speaking with customers and asking detailed questions until the underlying workflow is understood.

• Bias toward evidence, prototypes, and shipped outcomes rather than process for its own sake.

• Ability to operate with ambiguity and make sensible trade-offs.

Nice to Have

• Experience with B2B SaaS, enterprise software, workflow products, fintech, or AI-assisted products.

• Technical background or prior engineering experience.

• Experience working with APIs, integrations, analytics, or operational products.

• Experience taking a product from discovery through adoption.

How Product Works Here?

Product managers are expected to understand the problem deeply, not act as ticket routers. The best solution may be a new feature, a platform primitive, a workflow change, an API, or deciding not to build something. Success is measured by customer and product outcomes, not PRD volume.

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 6+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface).

3

Mandatory(Experience 2) - Must have consumer-facing product ownership as the centre of gravity. Backend, API, infra, or internal-tools PMs with no recent consumer-facing surface will not be considered. Backend exposure alongside real consumer-funnel work is fine; a backend centre not.

4

Mandatory(Experience 3)- Must have a metric-backed track record improving conversion, revenue yield, engagement, or lead quality in a consumer funnel — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene.

5

Mandatory(Experience 4)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.

6

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders, and working with distributed teams across time zones (Australia, India, Philippines).

7

Mandatory(Product Writing & Agile Delivery)- Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools.

8

Mandatory(Company) - Must be from B2C product company. FinTech is the priority . A non-fintech candidate qualifies only if currently or recently at a Series B plus company.

9

Preferred(Skill)- Exposure to LangChain, RAG, or prompt engineering in a product context; experience working directly with data science/ML teams on model-backed features; prior AI features in transactional or financial-services consumer UX.

About the Role

As the Product Manager at CloudKeeper, you will lead the strategy, roadmap, and execution of our real-time Cloud usage optimization and recommendation platforms. 

As we expand our portfolio and deepen capabilities across cost optimization, observability, automation, and cloud management, we are seeking a Product Manager who can drive the vision, roadmap, and execution for one or more products within the CloudKeeper Platform Suite such as Lens, Tuner, Commit, Gen AI and Check

You will work cross-functionally across engineering, data science, FinOps SME, go-to-market and customer success to drive product growth, adoption, and customer value.

Key Responsibilities

• Define the vision and product strategy for CloudKeeper Platform Suite, aligned with overall cloud cost & usage optimization goals and the broader CloudKeeper solutions.
• Own the product roadmap: prioritize features, enhancements, integrations, and user experience improvements
• Own end-to-end product lifecycle: concept → PRDs → UX/design → development → launch → iteration
• Work with UX/design to craft intuitive workflows for engineering/DevOps users, ensuring that insights embed into their flow of work 
• Engage with customers (particularly engineering and FinOps teams) to gather feedback, identify pain points, and validate product direction.
• Drive annual planning, release cycles, and sprint delivery (Agile methodology) while ensuring high quality and timely launch of features.
• Ensure appropriate documentation, training materials, and enablement for internal teams and external customers.

Desired Qualifications 

• Bachelor’s degree in Computer Science, Engineering, Business or related field (Master’s preferred).
• 5+ years of product management experience in SaaS, preferably in cloud infrastructure, FinOps, cloud cost optimisation, or dev tools.
• Experience in B2B / Enterprise SaaS product development is a must (B2C product experience will not be considered)
• Strong understanding of AWS or other public-cloud: you should know at least the major compute / storage / services / networking footprint and usage patterns. 
• Proven ability to translate customer needs into product features, write product requirements (PRDs), and work with engineering teams on execution.
• Proficiency with product management, collaboration, and analytics tools (e.g., Jira, Confluence, Figma, Productboard, BI dashboards, PostHog)

Preferred 

• Prior experience in cloud cost optimization, cost-management tools, or FinOps practices is a strong plus
• Exposure to FinOps platforms or cloud cost optimization tools (e.g., AWS Cost Explorer/CUR, CloudHealth or equivalents)

What You’ll Work On

• Lead development and launch of next-gen recommendation engine enhancements (e.g., smarter detection of idle/over-provisioned resources).
• Evolve CloudKeeper’s industry-leading Guaranteed Savings model and its underlying pricing, automation, and governance engines
• Design conversational, AI-powered experiences that guide engineers through optimization opportunities, troubleshooting, and architectural decisions
• Define and refine metrics around savings impact, recommendation adoption, user engagement, churn, and product-market fit.
• Explore spaces like multi-cloud optimization, FinOps governance frameworks, cloud budgeting & forecasting, or cloud-native developer tools.
• Identify gaps in the cloud management ecosystem and work with leadership to incubate entirely new product lines, from concept to MVP to full-scale launch

What We Offer

• The opportunity to own a high-impact product in the rapidly growing FinOps/cloud cost optimisation space.
• A collaborative, innovative environment with talented teams in engineering, data science, UX, and product.
• The chance to make a measurable difference: help customers reduce cloud cost while maintaining performance and accelerate their cloud usage optimisation journey.

Duties and Responsibilities

1. Build, lead, and motivate large teams, fostering a growth mindset and high performance
2. Develop and execute business strategies aligned with the company's vision to drive revenue, client acquisition, and market share expansion
3. Lead new account acquisition, product development, and management of the existing product suite
4. Build and maintain strong relationships with key clients, providing regular advice on market opportunities and trading strategies
5. Innovate and leverage technology for new product launches and cost optimization.
6. Ensure high levels of customer experience and satisfaction.
7. Analyze market trends, customer feedback, and competitor activities to identify new business opportunities and cross-selling avenues
8. Oversee day-to-day operations, ensuring efficiency and regulatory compliance across all channels
9. Present and implement plans for client base and revenue growth, operational efficiency, cost optimization, and digitization
10. Helping clients on their Investments and managing their overall financial portfolio and deepening the wallet from existing clients.
11. Prepare and present investment and portfolio reports to clients, and conduct meetings or presentations as needed
12. Achieve revenue and client activation targets through effective advisory and relationship management
13. Attain through knowledge about stock market terms and trading practices