Technical Program Manager

Bachelor’s degree in Engineering, Computer Science, or a related discipline

• 8+ years of experience in project or programme management

• 3+ years of experience delivering AI, Machine Learning, Data, or Analytics programmes

• PMP, Agile, Scrum, or equivalent certification preferred

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.
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Technical Product Manager – Healthcare

Required Experience

• 5+ years in technology product or platform product roles.
• Demonstrated experience delivering healthcare technology products.
• Direct exposure to healthcare data, analytics, or AI-enabled solutions.
• Experience operating in regulated environments, including HIPAA, PHI, and healthcare compliance.
• Proven ability to lead complex healthcare initiatives through ambiguity and change.

Healthcare Domain Expertise

• Strong understanding of healthcare operations and workflows, including:
• Payer
• Provider
• Care Management
• Familiarity with healthcare domains such as:
• Utilization Management (UM)
• Care Management / Case Management
• Prior Authorization
• Ability to translate clinical and operational workflows into scalable technology solutions.
• Strong understanding of regulatory, compliance, and patient safety considerations in product decisions.

Product & Strategy

• Outcome-driven product mindset grounded in healthcare realities and AI/data-first thinking.
• Ability to identify where data, analytics, and AI can improve healthcare outcomes or reduce administrative burden.
• Roadmap ownership integrating:
• Core healthcare capabilities
• Data and interoperability foundations
• Analytics and AI enablement
• Prioritization informed by:
• Clinical impact
• Operational value
• Feasibility
• Risk
• Strong problem framing focused on insight generation, automation, and scale.

Data, Analytics & AI Enablement

• Working understanding of:
• Healthcare data domains, including member, provider, clinical, authorization, and outcomes data.
• Data flows across payer, provider, and partner systems.
• Ability to partner with Data Engineering, Analytics, and AI teams to:
• Enable reliable healthcare analytics and reporting.
• Support decision-making through insights and AI-assisted summarization.
• Experience defining requirements for:
• Operational and clinical dashboards.
• KPIs tied to quality, efficiency, cost, and experience.
• AI-enabled analytics, including summarization, prioritization, and decision support.
• Awareness of data quality, lineage, interoperability, and adoption challenges in healthcare.

AI & Automation in Healthcare

• Understanding of AI use cases relevant to healthcare:
• Clinical and operational summarization.
• Decision support with human-in-the-loop.
• Workflow automation and prioritization.
• Ability to balance innovation with:
• Responsible AI practices.
• Explainability and auditability.
• Regulatory and ethical considerations.
• Experience guiding AI from pilot to production to scaled adoption in healthcare settings.

Technology & Architecture Knowledge

• Understanding of modern architectures supporting healthcare data and AI:
• APIs
• Microservices
• Cloud platforms
• Data platforms
• Interoperability layers
• Integration patterns
• Ability to evaluate build vs. buy vs. reuse with healthcare constraints in mind.
• Comfort navigating legacy systems, technical debt, and complex integrations common in healthcare ecosystems.

Delivery & Execution

• Agile / SAFe execution with emphasis on progress, readiness, and adoption.
• Strong dependency and risk management across:
• Product teams
• Data pipelines
• Analytics platforms
• AI platforms
• Release planning that includes:
• Data readiness and validation.
• Analytics accuracy.
• AI model monitoring.
• Compliance checks.

Stakeholder & Communication

• Trusted partner to business, clinical, and operations leaders.
• Clear articulation of trade-offs, risks, and value realization.

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.

ROLE SUMMARY:

In this role, you will be responsible for supporting people, technical processes, and engineering execution to ensure projects are delivered as per scope, budget, and timelines.

This role includes developing detailed project plans and comprehensive technical documentation, managing project Engineers and their availability, measuring engineering performance, tracking progress, and communicating project status to clients and internal stakeholders. You will work directly with Solutions Architects, Tech Leads, and Engineering teams to evaluate technical trade-offs, drive system design feasibility, and unblock engineering bottlenecks.

You will be a reliable and crucial team member who can anticipate client needs and translate complex technical requirements into actionable project milestones.

As a Technical Project Manager, you will be the point of contact for all stakeholders from initiation to closure and will be responsible for leading the technical delivery team to achieve project objectives. You will work towards balancing technical constraints, technical debt, and Engineer availability on the project. You will report project status to client and internal stakeholders, escalate technical and operational issues as needed, and perform risk management to identify and mitigate architectural and delivery risks while maintaining strong advocacy within your spheres of influence.

QUALIFICATIONS:

Technical Project Manager with 7+ years experience: Including minimum 3 years of IT (Mobile/Web) project management experience and a prior background as a Software Engineer, Tech Lead, or Developer.

Strong expertise in Agile methodologies (Scrum/Kanban).

Must have handled end-to-end SDLC projects as a Technical Project Manager or Scrum Master.

WHAT WILL YOU NEED TO BE SUCCESSFUL IN THIS ROLE?

Handle a portfolio of technical projects and clients in parallel and across geographies.

Develop an execution plan for projects, release schedules, CI/CD milestones, and team allocation.

Partner with technical leads to review high-level system designs, break down complex requirements into epics and user stories, and challenge technical estimates effectively.

Maintain strong relationships with product delivery, engineering leads, sales teams, clients, and account managers.

Expertise in project estimation, planning, tracking, scope control, technical risk and issues management, as well as engineering status reporting.

GOOD TO HAVE:

Hands-on or architecture exposure to.NET/Java/AWS/Azure or microservices architectures.

PMP / PMI-ACP / CSM (Certified ScrumMaster) certification.

Jira/Confluence project management tools expertise, Git workflows, and strong working knowledge of Microsoft Office.

COMPETENCIES:

Strong commitment to professional client service and engineering excellence.

Excellent communication (written, verbal, and presentation), persuasive, and negotiating skills—with the ability to bridge technical and non-technical stakeholders.

Encourage, motivate, and mentor team members on agile practices and technical ownership.

Proactive can-do and technical problem-solving approach to the job.

Regards

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.

Title - Sr Engineering Manager

Location –Remote

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values:

• Invested Relationships
• Fiscal Prudence
• Candid Conversations

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com

The Monetization Infrastructure team is responsible for all the systems that power Egnyte’s back office: billing, customer intake, account lifecycle and many others. This highly crucial function combines strong business attachment with technical complexity due to Egnyte’s scale and strong pace of innovation.

WHAT YOU’LL DO:

• Lead the Monetization Infrastructure engineering group, reporting to the Platform Engineering VP.
• Be hands-on and lead from the front; provide technical inputs and direction to the group, acting as a check and balance on key technical decisions and helping shape technical direction. Participate and contribute to system designs and code reviews.
• Ensure high quality operation of the systems under your responsibility. Drive a culture of ownership and continuous operational improvement.
• Collaborate with key stakeholders, such as Finance, Product Management and other Engineering groups, to implement end-to-end use cases and support high quality of service.
• Champion fluent use of AI tools across the team and drive adoption of advanced AI-assisted software development lifecycle (SDLC) practices.

YOUR QUALIFICATIONS:

• Managed engineering teams of 15+ people in SaaS product companies, including experience leading managers.
• Hands-on: understand and be able to contribute to system designs. Past background as a staff engineer or architect with a track record of releasing widely adopted solutions.
• Past background in Python (mandatory) and Java (desirable).
• Understanding of cloud platforms (GCP, Azure or AWS) and infrastructure as code concepts is highly desirable.
• Experience in leading distributed teams.
• Fluent in applying AI tools across the engineering workflow, with a track record of driving advanced AI-driven SDLC adoption within a team.

BENEFITS:

• Competitive salaries
• Company equity depending on role and level
• Medical insurance and healthcare benefits for you and your family
• Fully paid premiums for life insurance
• Flexible hours and PTO
• Gym reimbursement
• Childcare reimbursement
• Group term life insurance

Equal Employment Opportunity

At Egnyte, we celebrate our unique differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Our global Egnyte Employee Communities (EECs) support representation and inclusion across our diverse workplace. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be. 

Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of hrategnyte.com. Egnyte will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact hrategnyte.com. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy. 

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

2

Mandatory(Experience 1)- Must have 7+ 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 a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

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

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (City) - Pune Based Candidates Only

About the Company

As the world moves toward AI-native applications, one element matters more than anything: data.

We are building a platform that helps organizations unlock the value hidden within customer feedback. By centralizing data from multiple sources—including CRM platforms, support systems, collaboration tools, surveys, community forums, and customer conversations—into a unified intelligence layer, we enable teams to understand customer needs and make better product decisions.

Built on top of this foundation is an AI-powered platform that allows teams to query, monitor, and act on customer intelligence directly within their workflows. Our customers include some of the fastest-growing product-led technology companies as well as large global enterprises.

Backed by leading global venture capital firms, our engineering culture is AI-native from the ground up. Agents, LLMs, and applied machine learning are not side projects—they are central to how we build products. We operate at the cutting edge of agentic systems and continuously push the boundaries of what modern AI applications can achieve.

What You Will Do

• Convert product direction into phased technical plans, including estimates, milestones, dependencies, and risk assessments.
• Make thoughtful trade-offs across correctness, latency, user experience, AI/model behavior, reliability, cost, and delivery speed.
• Define clear ownership boundaries across frontend applications, BFF layers, backend services, agent workflows, ML platforms, and data contracts.
• Review ERDs, PRDs, design documents, and implementation plans to identify gaps before they become execution challenges.
• Drive planning and execution for complex initiatives while empowering area leads and senior engineers to maintain ownership.
• Partner closely with Product, Design, Engineering, and GTM teams to turn ambiguous problem statements into executable solutions.
• Influence technical direction through strong engineering judgment, architectural leadership, and hands-on involvement.
• Mentor senior engineers and contribute to engineering excellence through reviews, incident analysis, and proactive risk management.

What It Takes

• 9+ years of experience as a Senior Engineer, Technical Lead, or equivalent role.
• Demonstrated experience owning architecture and execution for large-scale product or platform initiatives spanning multiple teams.
• Strong foundation in distributed systems and modern software architecture.
• Exposure to agentic AI systems, machine learning engineering, MLOps platforms, and frontend/BFF architectures.
• Ability to own end-to-end product and technical problems rather than specializing exclusively in a single layer of the stack.
• Proven track record of converting ambiguity into actionable engineering plans.
• Excellent written communication skills, including design documentation, architectural reviews, trade-off analyses, and RCA documentation.
• Ability to challenge requirements constructively and collaborate effectively across Product, Design, Engineering, and GTM functions.
• High ownership mindset, attention to detail, and a low-ego, collaborative approach.

About Solutionara

Solutionara is a U.S.-based IT Consulting and Technology Services firm with a Global Delivery Center in Noida, India.

As a fast-scaling consulting firm, we operate with high ownership, lean teams, and disciplined execution. We are also evolving toward an AI-enabled delivery model, focused on enterprise integration, digital transformation, and scalable technology solutions for global clients.

Our GDC plays a critical role in building high-impact engineering and delivery teams while driving operational excellence through structured processes and intelligent automation.

Location: Noida, Uttar Pradesh | On-site

Experience: 5–9 Years

Employment: Full-Time

Industry: IT Consulting & Technology Services

About the Role

Solutionara is looking for a Technical Project Manager – Enterprise Technology to join our Global Delivery Center in Noida.

This is a hands-on technology delivery role for someone who can operate effectively between project management and engineering teams. You will be responsible for translating technical work into structured delivery plans, coordinating cross-functional engineering teams, managing technical dependencies and risks, and driving projects from planning through deployment and stabilization.

You will work closely with Solution Architects, Technical Leads, Developers, Integration Engineers, Data Engineers, DevOps, QA, Business Analysts, client stakeholders, and vendors.

This role requires more than maintaining Jira boards and scheduling meetings. We are looking for someone who understands how technology projects are actually delivered and can ask the right questions when architecture, environments, APIs, integrations, infrastructure, data, testing, or deployment dependencies begin affecting the plan.

What You'll Do

Technical Project Delivery

• Manage technology projects from requirements and planning through development, integration, testing, deployment, and hypercare.
• Build and maintain detailed project plans, milestones, technical workstreams, dependencies, deliverables, and release schedules.
• Translate technical activities and engineering estimates into executable delivery plans.
• Coordinate work across application development, integration, cloud/DevOps, data, QA, architecture, and infrastructure teams.
• Understand technical blockers sufficiently to identify their delivery impact and drive the appropriate teams toward resolution.
• Challenge assumptions, timelines, estimates, and dependencies when delivery risks emerge.
• Ensure technical decisions, dependencies, assumptions, and actions are documented and followed through.

Delivery Governance & Control

• Maintain RAID logs, dependency trackers, decision logs, action items, milestones, and project health indicators.
• Identify schedule, resource, technical, environmental, integration, and deployment risks before they become delivery failures.
• Establish clear ownership and due dates for risks, issues, dependencies, and actions.
• Track planned versus actual progress and develop recovery plans when projects begin to slip.
• Manage scope changes and coordinate impact assessments across schedule, resources, technical dependencies, and delivery commitments.
• Escalate issues with clear impact, options, recommendations, and required decisions.
• Maintain accurate project documentation and delivery visibility for leadership and stakeholders.

Engineering & Cross-Functional Coordination

• Work closely with Solution Architects and Technical Leads to understand solution architecture and implementation dependencies.
• Coordinate API, integration, application, infrastructure, data, security, environment, and testing dependencies.
• Facilitate technical planning and dependency discussions across engineering teams.
• Coordinate development readiness, QA readiness, UAT, release readiness, cutover, deployment, and production stabilization.
• Ensure environments, access, infrastructure, test data, interfaces, and external dependencies are available when required.
• Track defects, technical blockers, and production-readiness items through closure.
• Support technical teams without attempting to replace the engineering or architecture functions.

Client & Stakeholder Management

• Participate in and lead client status meetings, delivery reviews, technical coordination meetings, and project governance discussions.
• Communicate technical issues in clear business and delivery terms.
• Provide concise project health reporting covering progress, risks, dependencies, decisions, and upcoming milestones.
• Manage stakeholder expectations around scope, timelines, dependencies, and delivery risks.
• Coordinate across India and global teams working in distributed delivery environments.
• Maintain professional, transparent communication when projects encounter delays or technical challenges.

Agile, Release & Delivery Management

• Facilitate sprint planning, backlog readiness, delivery reviews, retrospectives, and other Agile ceremonies where applicable.
• Work with engineering leads to ensure stories and technical activities are sufficiently understood before execution.
• Track sprint commitments without treating Agile metrics as a substitute for actual delivery outcomes.
• Coordinate release planning, UAT, change readiness, cutover activities, go-live, and hypercare.
• Support Agile, Scrum, Waterfall, and hybrid delivery models based on project and client requirements.

AI-Assisted Project Delivery

• Use AI and automation tools to improve project planning, documentation, meeting outputs, risk identification, status reporting, and delivery visibility.
• Identify repetitive project-management activities that can be automated or streamlined.
• Encourage responsible use of AI within project workflows while maintaining appropriate review, confidentiality, and accountability.
• Help Solutionara evolve toward a more data-driven and AI-enabled technology delivery model.

What We're Looking For

• 5–9 years of overall experience in technology delivery, with meaningful experience as a Technical Project Manager, Project Manager, Technical Program Manager, Delivery Lead, or similar role.
• Experience managing software engineering, enterprise application, cloud, integration, data, infrastructure, or digital transformation projects.
• Strong understanding of the Software Development Life Cycle (SDLC) and how software moves from requirements through development, testing, release, and production.
• Sufficient technical fluency to communicate effectively with Architects, Developers, DevOps Engineers, Integration Engineers, QA, and other technical specialists.
• Hands-on experience with project planning, RAID management, dependency management, risk management, change control, and delivery reporting.
• Experience coordinating multiple technical workstreams and dependencies.
• Ability to identify when a technical issue affects the critical path and drive appropriate recovery actions.
• Strong client and stakeholder communication skills.
• Ability to bring structure, ownership, and accountability to ambiguous or fast-moving technology projects.
• Strong problem-solving and escalation-management skills.
• Comfortable working in a fast-paced consulting and Global Delivery Center environment.

Technical Fluency

The Technical Project Manager is not expected to be the Solution Architect or primary developer, but should be comfortable discussing and managing delivery around concepts such as:

• REST/SOAP APIs and enterprise integrations
• Application and microservices architecture
• Cloud infrastructure and AWS/Azure environments
• CI/CD and DevOps pipelines
• Databases and data dependencies
• Development, QA, UAT, staging, and production environments
• Authentication, access, networking, and security dependencies
• Deployment, cutover, rollback, and production support
• Defects, logs, monitoring, incidents, and root-cause analysis

The TPM should be able to understand what is blocked, why it matters, who owns it, what it affects, and what needs to happen next.

Preferred Experience

Experience in one or more of the following areas would be an advantage:

• Enterprise Integration – Dell Boomi, APIs, Middleware, EDI
• AWS or Azure Cloud
• DevOps and CI/CD
• Data Engineering or Data Platforms
• ERP, WMS, CRM, PIM/DAM, or enterprise applications
• Application or legacy modernization
• Microservices and API-led architectures
• Digital portals and enterprise applications
• U.S. or global client delivery
• Consulting or technology services organizations
• Onsite-offshore / Global Delivery Center delivery models

What Success Looks Like

• Projects have clear plans, ownership, milestones, and technical dependencies.
• Risks and blockers are identified early rather than discovered at the point of failure.
• Engineering teams have the information, access, environments, and decisions required to execute.
• Technical issues are translated into clear schedule and business impact.
• Delivery commitments are actively managed rather than simply reported.
• Clients and leadership receive accurate and timely visibility into project health.
• Releases and go-lives are planned, controlled, and supported through stabilization.
• Project-management overhead is reduced through effective use of automation and AI.
• Technical teams view the TPM as someone who helps delivery move forward, not simply someone who asks for status updates.

Why Join Solutionara?

• Manage meaningful enterprise technology and transformation initiatives.
• Work directly with experienced architects, engineering leaders, and global clients.
• Build exposure across Cloud, Integration, Data, DevOps, AI, and Digital Transformation.
• Develop toward broader Senior Project Manager, Program Manager, or Technology Delivery leadership responsibilities.
• Have real ownership of technology delivery rather than operating solely as a PMO coordinator.
• Help shape delivery practices as our Noida Global Delivery Center continues to scale.
• Work in an environment actively incorporating AI and automation into technology delivery.