The Role
Lead complex AI and data projects from planning through delivery, managing scope, resources, milestones, dependencies, risks, budgets, and timelines. Coordinate engineering, data science, product, QA, customers, and external stakeholders. Facilitate Agile ceremonies, maintain documentation, resolve blockers, ensure client alignment and satisfaction, mentor cross-functional teams, improve delivery processes, and support proposals, presales, and customer onboarding.
Summary Generated by Built In
Join us in Shaping the Future of AI & Data
Why You? Why Now?
What You’ll Do (Key Responsibilities)First 30 Days: Foundation & Orientation
First 60 Days: Execution & Impact
First 180 Days: Ownership & Transformation
What You Bring (Qualifications & Skills)✅ Must-Haves
⭐ Nice-to-Haves
Why Work With Us?
At goML, we are redefining how organizations leverage AI and Data to solve real-world challenges. From enterprise-scale data solutions to cutting-edge AI applications, we deliver value across industries. Our mission is to bridge the gap between state-of-the-art AI research and real-world enterprise applications—helping organizations innovate faster, make smarter decisions, and scale AI solutions seamlessly.
We’re looking for an experienced Project Manager to lead complex, cross-functional AI & Data projects with precision. In this role, you’ll drive planning, execution, and delivery—while building strong stakeholder alignment and ensuring client satisfaction. If you are a proactive leader who loves enabling teams and delivering outcomes at speed and quality, we’d love to hear from you!
As organizations rapidly adopt AI and data-driven transformation, delivery excellence becomes the difference between “a good concept” and “real impact.” This role is perfect for someone who can bring structure to ambiguity, manage complex project realities, and lead teams to deliver measurable results.
Joining goML now places you at the center of high-visibility AI & Data initiatives, working closely with engineering, data science, and product teams—while collaborating with customers across industries to shape transformative outcomes.
- Understand goML’s service offerings, delivery standards, and technology stack
- Get familiar with active projects, key clients, and internal workflows
- Learn project governance frameworks, escalation paths, and engagement protocols
- Build strong working relationships with delivery teams, stakeholders, and leadership
- Start aligning expectations and understanding delivery priorities
- Own project planning and execution activities:
- scope definition
- resource allocation
- milestone planning
- dependency tracking
- risk and issue management
- Engage regularly with customers to:
- gather requirements
- provide project updates
- ensure alignment with business objectives
- Coordinate across internal teams (Engineering, Data Science, Product, QA) and external stakeholders
- Remove blockers and ensure project delivery within timelines, quality benchmarks, and budgets
- Manage Agile execution:
- sprint ceremonies
- client reviews
- retrospectives
- Maintain strong project documentation and reporting
- Take complete ownership of multiple projects and ensure consistent on-time delivery
- Strengthen customer relationships through proactive communication and issue resolution
- Mentor and lead cross-functional teams with accountability and performance focus
- Implement process improvements to improve:
- delivery efficiency
- scalability
- project predictability
- Contribute to business growth by supporting:
- pre-sales discussions
- proposals
- onboarding of new customers (as needed)
- 5+ years of experience in Project Management, preferably in AI / Data / Software delivery domains
- Strong expertise in end-to-end project delivery:
- planning
- execution
- tracking
- closure
- Proven ability to manage customers, internal stakeholders, and cross-functional teams
- Excellent client-facing skills:
- expectation management
- customer success focus
- confident leadership in meetings
- Strong knowledge of Agile methodologies:
- Scrum / Kanban
- Experience using project management tools:
- JIRA, Zoho Projects/Sprints, or similar tools
- Strong understanding of:
- SDLC
- data workflows
- ML lifecycle fundamentals
- Exceptional leadership, communication, and organizational skills
- Experience handling government projects / public sector clients
- Certifications such as:
- PMP
- CSM
- other Agile certifications
- Exposure to cloud platforms:
- AWS / Azure / GCP
- Prior experience in:
- pre-sales support
- proposal writing
- solution presentations
- Continuous Learning & Development – Certifications, workshops, mentorship
- Exciting, Impactful Projects – Startups to enterprise + government, across industries
- Competitive Compensation & Benefits – Industry-leading salary, insurance, performance bonuses
- Collaborative Culture – Strong team support, hackathons, innovation-driven events
Skills Required
- 5+ years of project management experience, preferably in AI, data, or software delivery
- Expertise in end-to-end project delivery, including planning, execution, tracking, and closure
- Ability to manage customers, internal stakeholders, and cross-functional teams
- Excellent client-facing skills, including expectation management, customer success focus, and confident meeting leadership
- Strong knowledge of Agile methodologies, including Scrum and Kanban
- Experience using project management tools such as JIRA, Zoho Projects, Zoho Sprints, or similar
- Understanding of SDLC, data workflows, and machine learning lifecycle fundamentals
- Exceptional leadership, communication, and organizational skills
- Experience handling government projects or public sector clients
- PMP, CSM, or other Agile certification
- Exposure to AWS, Azure, or GCP
- Experience with presales support, proposal writing, or solution presentations
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The Company
What We Do
Neuralgo.ai is an enterprise AI and data-science company building LLM-powered platforms that help users move from business problem statements to machine-learning solutions. Its offerings span data engineering, MLOps, and LLM applications, providing productized outcomes across the machine-learning lifecycle. The company’s mission is to democratize data science with AI and help organizations accelerate their machine-learning initiatives.
