Technical Program Associate (Project coordinator)- AI & IT

Education: B.E. Computer Science/IT degree (or any other engineering discipline)

Experience: 9+ years

 Work timings: 2:00 TO 11:00PM/ 6:30PM to 3:30 AM

Position Requirements:

• Program Strategy & Planning
• Own program charters, end-to end roadmaps, success criteria and alignment to business objectives.
• Translate company strategy into clear program priorities, milestones, and resource plans across multiple teams.
• Lead quarterly and long-range capacity planning, balancing scope, resources and timelines across workstreams.

•          Program Execution & Delivery

• Drive delivery of large, technically complex programs comprising multiple projects and teams; ensure on-time, high-quality outcomes.
• Orchestrate cross-functional dependencies, manage sequencing, and remove organizational impediments.
• Operate program-level release, milestone and launch processes; maintain program schedules and integrated plans.

•          Technical Leadership & Influence

• Maintain technical fluency across systems (APIs, services, data, infra, web and mobile platforms) to identify risks, trade-offs, and integration concerns.
• Partner with engineering leads and architects to surface technical dependencies, propose solutions, and influence technical direction.
• Lead technical intake, prioritization and change control for program scope.

•          AI Programs & Governance

• AI-specific program accountability: Own model lifecycle programs (experimentation → validation → deployment → monitoring → scale), model risk management, and coordination with MLOps and data science teams.
• Governance and control: Implement and maintain governance for clinical, editorial, regulatory, and AI-specific risks (bias, explainability, monitoring), coordinating policies and controls with legal, compliance, and domain stakeholders.
• Offshore reality: Design and operate for distributed teams—ensure timezone overlap strategies, clear escalation mechanics, minimize decision latency, and define RACI for offshore/onshore handoffs.
• Experience in mentoring engineering teams to integrate AI assistants into their daily development workflows to increase velocity and code quality.

•          Stakeholder Management & Communication

• Serve as primary program owner for senior leadership and business partners; run steering committees and executive reviews.
• Produce concise executive-level reporting (status, risks, mitigation, outcomes) and tailor communications for diverse audiences.
• Build strong cross-functional relationships and drive alignment through regular touchpoints and stakeholder feedback loops.

 •          Risk, Budget & Vendor Management

• Develop and maintain program-level risk registers, contingency plans, and escalation protocols.
• Manage program budgets, track spend vs. plan, and coordinate with finance and procurement as needed.
• Own vendor/third-party integration and delivery where applicable.

•          Process, Tools & Automation

• Establish program governance, templates, and tooling conventions to improve visibility and efficiency.
• Identify automation and tooling opportunities (including AI-assisted tooling) to reduce manual work and improve program telemetry.
• Drive PMO maturity: scalable processes, reporting, and knowledge management across the organization.

•          Measure Impact

• Define and track program success metrics and business outcomes; iterate to maximize value delivery.
• Ensure learnings are captured and operationalized for future programs.

Role & Responsibilities:

• 10+ years of program or technical project management experience delivering large-scale technical programs in fast-paced, matrixed organizations.
• Proven track record driving multi-team, cross-functional technical initiatives from concept to measurable business outcomes.
• Strong technical literacy (experience with APIs, backend services, cloud infrastructure, data flows and integrations).
• Advanced proficiency with Agile at scale methodologies (e.g., SAFe, LeSS, or equivalent) and deep SDLC knowledge.
• Experience with capacity planning, roadmaps, dependency management, and cross-team prioritization.
• Expert-level proficiency in JIRA and Confluence; comfortable with program/portfolio tooling (Aha!, Productboard, Roadmunk, Airtable, Smartsheet, BI dashboards).
• Excellent stakeholder management and executive communication skills; proven ability to influence without direct authority.
• Strong analytical and problem-solving skills; data-driven mindset.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• Fluent English.

•          Preferred

• Certifications such as PMP, CSM, SAFe Program Consultant (SPC), or equivalent.
• Experience in digital publishing, web/content platforms, AI/ML products, healthcare information systems, or digital media.
• Experience managing program budgets and vendor/contract relationships.
• Familiarity with emerging project automation and Agentic AI tools for program management and decision support.
• Prior experience mentoring PMs and leading PMO or program-level process change initiatives.

Strategic Partnerships Associate – AI & Platform Partnerships

Company: FreJun

Position: Strategic Partnerships Associate – AI & Platform Partnerships

Employment Type: Full-Time

Department: Strategic Partnerships

Location: Remote

Experience: 1–2+ Years of real coding/product-building experience

Fixed CTC: ₹6 – ₹10 LPA

Variable: 10–20% of fixed CTC

Reports To: Head of Partnerships

Position Overview

We are seeking a technically strong and commercially driven Strategic Partnerships Associate to join our Strategic Partnerships team and focus on building partnerships with AI platforms, AI voice-agent companies, developer platforms, automation platforms, voice technology companies, and other technology products.

The ideal candidate will have hands-on experience building and shipping software and should be comfortable understanding APIs, technical products, integrations, and AI/voice architectures.

The role involves identifying high-potential technology partners, conducting technical and commercial discussions, supporting integrations, and helping partners move from initial engagement to production usage of Teler.

This is a technical partnerships role and is not intended for candidates with only traditional sales, business development, recruitment, marketing, or general partnership experience.

Key Responsibilities

AI & Platform Partner Research

- Identify AI voice-agent platforms, AI agent platforms, LLM platforms, developer platforms, automation platforms, voice technology companies, CRM/ATS platforms, and API-first SaaS companies

- Research potential partners' products, APIs, documentation, technical architecture, and existing voice infrastructure

- Identify where Teler can fit within a partner's product or technology stack

- Evaluate technical fit, customer overlap, integration effort, and commercial potential

- Build and maintain a prioritized database of potential AI and technology partners

- Track relevant competitor integrations, partner programs, marketplace listings, and ecosystem developments

Technical Partner Qualification

- Understand what potential partners are building and how their products work

- Review their existing voice, telephony, API, and integration architecture

- Identify technical requirements, pain points, expected usage, and integration complexity

- Understand latency, reliability, scalability, and geographic requirements where relevant

- Determine whether Teler is a suitable technical and commercial fit

- Prepare structured partner briefs and opportunity assessments

Partner Outreach & Relationship Management

- Conduct targeted outreach through email, LinkedIn, developer communities, GitHub, Slack, Discord, events, and relevant ecosystem channels

- Create personalized outreach based on the partner's actual product and technical environment

- Build relationships with developers, engineers, CTOs, technical founders, and product teams

- Conduct discovery calls and document requirements, pain points, decision processes, and next steps

- Maintain structured follow-ups and move qualified opportunities toward technical evaluation

Technical Demos & Integration Support

- Conduct Teler product demonstrations and technical walkthroughs

- Explain Teler APIs, authentication, call control, media streaming, number provisioning, webhooks, and call handling

- Explain how Teler fits into AI voice-agent architectures

- Build small proof-of-concepts, reference integrations, sample applications, and API examples

- Create Postman collections, code snippets, and technical integration material

- Support partners during technical evaluation and integration

Partner Onboarding

- Manage partner onboarding from technical qualification through production

- Support sandbox and account setup

- Guide partners through API credentials, documentation, and number provisioning

- Support initial integration and testing

- Help partners reach their first successful test call

- Drive qualified partners toward their first production call

- Track integration progress, blockers, and next steps

Technical Troubleshooting

- Review API requests, responses, logs, and technical errors

- Reproduce and investigate integration issues

- Troubleshoot API and webhook-related problems

- Identify whether issues originate from partner code, Teler, or the network

- Provide clear and reproducible technical information to Engineering

- Resolve first-level technical issues without unnecessary escalation

AI Voice & Technical Architecture

- Understand AI voice-agent architecture including STT → LLM → TTS

- Understand streaming and turn-based voice interactions

- Understand barge-in, interruption handling, and function/tool calling

- Understand basic telephony concepts including SIP, DIDs, number provisioning, inbound/outbound calling, and call control

- Understand media/audio streaming, latency, and reliability considerations

- Create and explain architecture diagrams showing where Teler fits

Co-Selling & Partner Enablement

- Work with Sales and Pre-sales on partner-led opportunities

- Participate in partner-introduced customer discussions when technical support is required

- Support joint solution positioning and technical qualification

- Identify referral and co-selling opportunities

- Create integration guides, technical FAQs, architecture diagrams, demo scripts, and implementation material

- Help partners become capable of explaining and positioning Teler independently

Product Feedback & Collaboration

- Collect structured feedback from technology partners

- Identify recurring API, documentation, integration, and scalability issues

- Document partner requirements with technical and commercial context

- Work with Product and Engineering to communicate partner requirements

- Identify opportunities to reduce integration friction

Partner Operations & Reporting

- Maintain accurate CRM and partner records

- Track partner stages, technical evaluations, integrations, activations, and next steps

- Maintain visibility into partner-sourced and partner-influenced pipeline

- Prepare regular reports on outreach, qualified conversations, integrations, activations, pipeline, and blockers

- Build lightweight tools or scripts for partner research, enrichment, tracking, or reporting where useful

Required Qualifications

Experience

- Minimum 1–2 years of real hands-on experience writing code or building and shipping a software product

- Must have experience building software, integrations, applications, or technical products used by real users

- Must be able to provide evidence of work through GitHub, GitLab, portfolio, live product, production integration, or similar proof

- Must be able to clearly explain personal contribution to a project

Technical Skills

- Strong understanding of REST APIs

- API authentication

- HTTP headers and request/response structures

- HTTP status codes and error handling

- Rate limits and pagination

- Idempotency

- Webhooks and event-driven systems

- Webhook signatures and retries

- API debugging

- Postman and/or curl

- Browser DevTools

- Logs and basic observability

Programming Skills

Ability to write working code in at least one of:

- Python

- JavaScript

- TypeScript

- Go

- Java

- PHP

AI & Voice Skills

- Understanding of AI voice agents

- LLM APIs

- STT/TTS

- AI agent frameworks

- Streaming audio

- Function/tool calling

- Voice latency

- SIP/VoIP fundamentals

- DIDs and number provisioning

- Inbound/outbound calling

- Call control

- Media/audio streaming

Communication & Professional Skills

- Strong written and verbal communication

- Ability to communicate effectively with technical stakeholders

- Strong analytical and problem-solving skills

- Commercial judgement

- Strong ownership and initiative

- Ability to work independently

- Strong organization and follow-up

- Ability to manage multiple partner opportunities simultaneously

- Ability to learn new technical concepts quickly

Professional Attributes

- Builder mindset

- Technically curious

- Commercially aware

- Detail-oriented

- Proactive and self-driven

- Comfortable working without an established playbook

- Able to balance technical accuracy with business objectives

- Willing to take ownership from research through partner activation

Preferred Qualifications

- Experience with AI voice platforms or AI agents

- Experience with LLM applications

- Experience with developer platforms or API products

- Experience with CPaaS, SIP/VoIP, IVR, or contact-center technology

- Developer relations or technical community experience

- Open-source contributions

- Experience with CRM, ATS, or automation platforms

- Experience creating technical documentation

- Experience building API integrations or SDK-based integrations

Ideal Candidate Profile

The ideal candidate is a software or product builder who wants to use their technical knowledge to build AI and technology partnerships.

They should be comfortable understanding APIs and architectures, speaking with developers and CTOs, identifying strong technology partnerships, conducting technical demos, supporting integrations, and moving qualified partners toward production.

Pure sales, generalist business development, recruitment, marketing, or partnership profiles without real software-building experience will not be considered.

Senior Technical Manager

Primary objective: Own engineering teams, architecture, delivery governance and successful execution of product and AI initiatives across DocTutorials.

Location

Hyderabad / Chennai

Employment

Full-time

Experience

10+ years

Role Summary

The Senior Technical Manager combines technical leadership, people management, product delivery and project execution. The role is accountable for team outcomes, engineering quality, timelines, production stability and the disciplined delivery of AI projects.

Key Responsibilities

1. Technology and Architecture Leadership

·       Provide direction for Python FastAPI, React/Next.js, data, cloud and AI architectures.

·       Review solution designs for security, scalability, maintainability, performance and cost.

·       Define engineering standards and resolve complex cross-team technical risks.

·       Remain technically hands-on through architecture reviews, critical code reviews and incident debugging.

2. People and Delivery Management

·       Lead, mentor and develop engineering teams with clear goals and accountability.

·       Own estimation, capacity, execution, dependencies, risks, releases and delivery recovery plans.

·       Conduct regular one-to-ones, performance reviews, coaching and skill-development planning.

·       Work with Product, QA, DevOps and stakeholders to deliver measurable product outcomes.

3. AI Project Execution

·       Assess AI use cases for feasibility, data readiness, risk, cost and measurable value.

·       Lead delivery of LLM, RAG, agentic and AI-assisted product initiatives from PoC to production.

·       Ensure evaluation, human validation, security, privacy, observability and rollback controls.

·       Prevent isolated demos, uncontrolled AI usage and dependency on individual engineers or vendors.

Required Skills and Experience

·       10+ years in software engineering with significant technical and people leadership experience.

·       Strong understanding of Python/FastAPI, React/Next.js, APIs, databases, cloud and distributed systems.

·       Proven ownership of product delivery, project planning, risk management and production operations.

·       Experience hiring, mentoring, evaluating and developing engineering teams.

·       Strong knowledge and execution experience across AI/ML, LLM, RAG or agentic-AI projects.

·       Practical understanding of Generative AI, LLMs, RAG, Agentic AI and responsible AI use relevant to the role.

·       Ability to use approved AI tools productively while protecting source code, credentials, learner data and organisational information.

·       Commitment to human review, testing, security validation and traceability for AI-assisted outputs.

Good-to-Have Experience

·       EdTech or medical-learning product experience.

·       AWS, Kubernetes, DevSecOps, MLOps or LLMOps.

·       Experience scaling teams and platforms through major transformation.

How Success Will Be Measured

·       Delivery becomes predictable with risks identified early.

·       Engineering quality, security and production stability improve.

·       AI projects progress from validated use cases to reliable production outcomes.

·       Team capability, ownership, engagement and succession strength increase.

·       Work consistently delivers measurable outcomes and business value—not merely completion of assigned tasks or activities.

Expected mindset: Own the outcome, use AI responsibly, communicate risks early and deliver secure, measurable value for DocTutorials and its learners.

Job Title: Software/Hardware Engineer (IIT/NIT)

Location: Bangalore

Website: https://www.zeuron.ai

Experience: 1-5Years

CTC: 6-10 LPA

No Freshers

About the Company

Zeuron.ai is a Bangalore-based deep-tech startup founded in 2019, focused on building brain-inspired computing and AI-driven healthcare solutions. The company combines neuroscience, AI, and gaming to create innovative digital therapeutics and neurotechnology platforms for improving brain health, rehabilitation, and overall well-being.

The role

Zeuron.ai is looking for hands-on software engineers who can turn an incomplete brief into reliable, usable software. You will work as an individual contributor, make sound technical decisions and take responsibility for the quality of what you deliver.

AI coding tools will be part of the workflow. We expect you to understand the underlying software well enough to build and debug without an LLM, then use AI to accelerate implementation, exploration and verification. You remain accountable for the result.

What you will own

• End-to-end delivery: clarify requirements, break work into achievable steps, implement features, test them, deploy them and respond to issues after release.

• Product decisions: understand the user problem, question unclear requirements and explain trade-offs between speed, quality, complexity and maintainability.

• Reliable software: investigate defects, identify root causes and improve error handling, performance and usability.

• Engineering continuity: maintain readable code, useful documentation and clear handovers so that others can run, understand and extend your work.

Engineering expectations

We value demonstrated building ability, technical reasoning and sound judgement. Tool familiarity should be supported by evidence of software you have actually delivered.

Software fundamentals

• Programming: practical fluency in at least one programming language, with an understanding of data structures, control flow, modularity and common complexity trade-offs.

• Applications and services: understand how interfaces, APIs, business logic and data storage interact. Be able to trace a failure across these boundaries.

• Data: work with databases, reason about data models and queries, and handle validation, consistency and errors appropriately.

• Development workflow: use Git confidently, review changes, manage dependencies and keep development and deployment instructions reproducible.

• Testing and debugging: reproduce failures, form hypotheses, inspect logs and isolate causes. Test important behaviour and edge cases rather than relying on a successful demo.

• Security and reliability: recognise basic risks around authentication, access control, secrets, input handling and third-party dependencies.

Build independently. Use AI effectively.

• Without LLMs: write and modify code, diagnose defects, explain design choices and use documentation to solve unfamiliar problems independently.

• With AI coding tools: frame tasks clearly, supply relevant context, use generated suggestions selectively and inspect the resulting changes.

• Verify before accepting: check correctness, integration, security and maintainability. Recognise invented APIs, fragile assumptions and plausible-looking code that does not solve the actual problem.

• Protect information: use approved tools and handle credentials, proprietary code and user data responsibly.

Evidence we want to discuss

Be prepared to walk through a project you contributed to: the problem, your specific contribution, important technical decisions, a difficult bug and how you verified the result. Public repositories or demos are useful where available; do not share confidential material from previous employers.

Ownership, growth & applying

How you will work

• Act as an owner: follow through on agreed deliverables, raise blockers early and communicate progress with concrete evidence.

• Work with the team: collaborate with product and engineering colleagues, accept review constructively and explain technical choices clearly.

• Learn with purpose: pick up unfamiliar tools when the problem requires them, while keeping the solution proportionate to the need.

• Grow through contribution: begin with hands-on individual-contributor responsibility, with potential to take on broader product or team responsibility as delivery, judgement and collaboration develop.

What strong performance looks like

Working features that meet agreed requirements; clear reasoning about implementation; defects investigated systematically; code that others can maintain; and AI-assisted work whose quality you can explain and verify.

Eligibility and compensation

Experience: 1-5 years of hands-on software development experience only.

Freshers are not considered.

Locations: Bengaluru and Belagavi.

Annual CTC : 6-10 LPA

The offer will depend on experience, interview performance and growth potential.

What to expect in the assessment

Be prepared for a discussion of your previous work, a practical coding or debugging task without LLM assistance, and an assessment of how you use AI coding tools and verify their output. We will also discuss product judgement, ownership and collaboration.

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

𝗪𝗲'𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴 | 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 & 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗠𝗮𝗻𝗮𝗴𝗲𝗿

𝗟𝗼𝘃𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀? 𝗘𝗻𝗷𝗼𝘆 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝘁𝗲𝗰𝗵 𝘁𝗲𝗮𝗺𝘀? 𝗞𝗻𝗼𝘄 𝗵𝗼𝘄 𝘁𝗼 𝗴𝗲𝘁 𝘁𝗵𝗶𝗻𝗴𝘀 𝗗𝗢𝗡𝗘?

I'm looking for a 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 & 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 at Surety Seven (007), where we're building technology to simplify and digitise surety bonds in India.

We need someone who can 𝘁𝗵𝗶𝗻𝗸 𝗽𝗿𝗼𝗱𝘂𝗰𝘁, 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘁𝗲𝗰𝗵, 𝗮𝗻𝗱 𝗱𝗿𝗶𝘃𝗲 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻!

🔍 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗱𝗼:

🔹 Define product requirements, PRDs, and user journeys.

🔹 Work with engineering teams to translate ideas into features.

🔹 Track project timelines, deliverables, and blockers.

🔹 Understand technical discussions and bridge the gap between business and engineering.

🔹 Coordinate with internal teams, insurers, and external partners.

🔹 Support UAT, testing, and product launches.

🎯 𝗪𝗵𝗮𝘁 𝘄𝗲'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿:

✅ 1–3 years of experience in Product Management, Program Management, or similar roles.

✅ Strong product thinking, problem-solving, and communication skills.

✅ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗮𝗽𝘁𝗶𝘁𝘂𝗱𝗲 — no coding required, but you should understand APIs, integrations, and technical workflows.

✅ Ability to track multiple projects, timelines, and dependencies.

✅ Familiarity with Jira, Figma, or Postman is a plus.

✅ Above all, 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽, 𝗰𝘂𝗿𝗶𝗼𝘀𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗮 𝗯𝗶𝗮𝘀 𝗳𝗼𝗿 𝗮𝗰𝘁𝗶𝗼𝗻!

✨ 𝗪𝗵𝘆 𝗷𝗼𝗶𝗻 𝘂𝘀?

You'll work closely with product and business leadership, collaborate with engineering, own meaningful problems, and see your ideas go from concept to launch.

𝗡𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮 𝗣𝗥𝗗 𝘄𝗿𝗶𝘁𝗲𝗿. 𝗡𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘁𝗿𝗮𝗰𝗸𝗲𝗿. 𝗔 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝘀𝗼𝗹𝘃𝗲𝗿 𝘄𝗵𝗼 𝗺𝗮𝗸𝗲𝘀 𝘁𝗵𝗶𝗻𝗴𝘀 𝗵𝗮𝗽𝗽𝗲𝗻!

📍 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Delhi

💼 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: 1–3 years

About the company

We are an AI-powered media intelligence platform that transforms video and audio archives into searchable, reusable and monetizable assets.

The platform combines media processing, search, multimodal AI and large-scale content understanding to help users discover meaningful moments within vast media libraries. We are an early-stage startup where engineers work across disciplines and contribute directly to

products used by customers.

Role Overview

We are looking for an Assistant Software Engineer who wants to grow rapidly across backend engineering, AI integration, media processing and platform operations.

You will work closely with the AI, platform and product engineers to build the supporting systems that make our AI capabilities usable, testable and reliable. You will help bridge the gap between models, services, data and product workflows while learning from experienced engineers across multiple disciplines.

What You Will Work On

AI Operations & Evaluation (Approx. 50%)

• Integrate AI services into backend workflows.
• Validate AI outputs against expected results.
• Build scripts and tools for evaluation and testing.
• Maintain datasets used to assess model quality.
• Support retrieval and search workflows.
• Investigate incorrect or unexpected AI outputs.

Media & Data Processing (Approx. 35%)

• Develop and maintain media-processing jobs.
• Support subtitle, transcript and metadata pipelines.
• Process and validate structured AI outputs.
• Assist with data preparation and annotation workflows.
• Build automation around ingestion and content processing.

Platform & Engineering Operations (Approx. 15%)

• Support deployment and monitoring workflows.
• Maintain development environments and internal tools.
• Assist with CI/CD automation.
• Help improve observability and operational dashboards.
• Support troubleshooting and production investigations.

What Success Looks Like

Within your first six months:

• AI evaluation workflows are easier to run and maintain.
• Model outputs can be tested and verified consistently.
• Media-processing jobs are reliable and observable.
• Engineering teams spend less time on repetitive operational tasks.
• Documentation and internal tooling improve team productivity.

Requirements

Must Have

• Good knowledge of Python.
• Experience building meaningful personal, academic or professional software projects.
• Understanding of REST APIs and JSON.
• Working knowledge of SQL and relational databases.
• Familiarity with Git and Linux.
• Ability to debug issues systematically.
• Strong curiosity and willingness to learn unfamiliar technologies.
• Good written and verbal communication skills.

Nice to Have

• FastAPI or Flask.
• PostgreSQL.
• Docker.
• Background workers or asynchronous processing.
• Computer vision, LLMs or AI APIs.
• Vector search, embeddings or RAG.
• FFmpeg or media-processing tools.
• AWS, Azure or GCP.
• JavaScript or TypeScript.
• CI/CD tooling.

We Value

• Curiosity over credentials.
• Ownership over job titles.
• Learning over knowing everything.
• Engineers who ask good questions.
• Engineers who can explain how things work.
• People who are comfortable working across multiple disciplines.

Why Join Us

• Work directly with experienced AI, platform and product engineers.
• Gain exposure to media AI, search and retrieval systems.
• Build real production systems from an early stage.
• Grow into backend, AI, platform or full-stack engineering paths.
• Help shape a product from its earliest stages.

# Hiring: Technical Project Manager (TPM)

*Location:* Bangalore  

*Experience:* 8–12 years in software delivery, including 4+ years as a Project Manager/Technical Project Manager  

*Qualification:* B.E./B.Tech/MCA  

*Travel:* Occasional client-site visits

### Job Description

We are looking for an experienced Technical Project Manager to manage end-to-end software delivery, lead Agile teams, coordinate with clients, and oversee production releases.

### Key Responsibilities

•⁠ ⁠Manage project scope, timelines, budgets, resources, and deliverables.

•⁠ ⁠Lead Agile/Scrum ceremonies, sprint planning, and backlog management.

•⁠ ⁠Handle client communication, project reporting, risks, and escalations.

•⁠ ⁠Manage production releases, deployments, CI/CD, and rollback plans.

•⁠ ⁠Lead cross-functional teams of 10–30 members across Development, QA, DevOps, and UI.

•⁠ ⁠Ensure quality standards, UAT, and timely project delivery.

### Mandatory Skills

•⁠ ⁠Strong experience in Agile, Scrum, Kanban, and client project delivery.

•⁠ ⁠Technical background in Development or QA.

•⁠ ⁠Hands-on experience with Jira, Confluence, or Azure DevOps.

•⁠ ⁠Knowledge of CI/CD, Git, SDLC, APIs, databases, and AWS/Azure basics.

•⁠ ⁠Experience managing production releases and cross-functional teams.

•⁠ ⁠Excellent communication, leadership, and stakeholder management skills.

### Good to Have

PMP, CSM/PSM, SAFe, or ITIL certifications; experience in cloud, AI, or data projects.

*Interested candidates:* Apply with your updated resume highlighting relevant project management, technical, and team leadership experience.

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.

About the Program

Nuevamacro Technology Private Limited is offering an opportunity for motivated freshers and aspiring IT professionals to gain practical industry exposure through our structured 6-month training program.

This program is designed to help candidates develop real-world technical, business, and professional skills while working on live assignments, learning industry best practices, and collaborating with experienced technology professionals.

Key Responsibilities

• Participate in structured training sessions and workshops.
• Learn emerging technologies, cloud platforms, cybersecurity, AI, and business applications.
• Assist in project documentation, research, testing, and implementation activities.
• Support project teams in delivering client engagements.
• Collaborate with team members in a remote working environment.
• Complete assigned tasks and learning objectives within defined timelines.

Eligibility

• Freshers seeking industry exposure.
• Final-year students or recent graduates in:
• Computer Science
• Information Technology
• Engineering
• Business Applications
• Related disciplines
• Good communication and interpersonal skills.
• Willingness to learn and adapt to new technologies.
• Self-motivated and capable of working independently in a remote environment.

What You Will Gain

• Structured industry-oriented training.
• Exposure to real-world projects and client engagements.
• Mentorship from experienced professionals.
• Hands-on experience with modern technologies and business processes.
• Professional development and career guidance.
• Internship Experience Certificate upon successful completion of the program.

Important Information

• This is a training-focused internship program.
• stipend will be provided during the 6-month training period.
• Based on individual performance, skill development, project requirements, and upcoming opportunities in our project pipeline, selected interns may be considered for extended engagement in future projects.
• Future project assignments and opportunities will be subject to business requirements and available openings.

Work Mode

✅ 100% Remote / Work From Home

✅ Flexible learning environment

✅ Industry-focused practical exposure

Interested candidates can apply by submitting their resume along with a brief introduction describing their technical interests and career goals.