GoodSpace
Website:
goodspace.ai
Job details:
About the Role
The Head of Delivery is a mission-critical leadership role with end-to-end ownership of
delivery across all ApexNeural client engagements. This is not a traditional PM or PMO role.
The position requires a hands-on technology leader who can drive complex AI and
enterprise engineering programs with accountability, speed, and execution rigor.
The ideal candidate brings a balanced blend of startup execution agility and enterprise-level
discipline, supported by strong AI and engineering fundamentals, a high-ownership mindset,
and long-term leadership maturity. This role plays a central part in ensuring predictable
delivery, high engineering quality, and strong client confidence across all programs.
Roles & Responsibilities
● Own overall delivery outcomes across all client projects, including timelines, quality,
budgets, risks, and escalations
● Own delivery financials including project margins, utilization, and cost efficiency
across engagements
● Establish and enforce delivery governance, reporting structures, review mechanisms,
execution frameworks, KPIs, dashboards, quality gates, and compliance
mechanisms to improve predictability and delivery reliability
● Plan, track, and manage project milestones, cross-team dependencies, and resource
allocation across multiple parallel initiatives
● Drive continuous improvement in delivery velocity, execution consistency, and overall
process maturity
● Act as the primary delivery owner in all client interactions and senior stakeholder
discussions
● Build and maintain strong relationships with CXOs, product leaders, and program
stakeholders
● Manage client escalations, scope alignment, expectation setting, and communication
clarity
● Provide hands-on technical leadership across AI/ML, microservices, cloud platforms,
data engineering, and DevOps
● Review and validate solution architecture, system design, sprint plans, and critical
technical decisions
● Ensure engineering excellence through strong CI/CD practices, code quality, testing
discipline, observability, security, and performance standards
● Proactively identify and mitigate technical and delivery risks, resolving critical
blockers on the ground
● Lead and mentor engineering managers, solution architects, AI/ML engineers,
backend teams, QA, and DevOps teams
● Build a performance-driven delivery culture with clear ownership, accountability, and
execution discipline
● Enable efficient delivery across distributed teams while meeting aggressive timelines
and quality benchmarks
● Balance startup agility and bias for action with enterprise-grade structure, scalability,
and governance
Requirements
● 15+ years of experience in software engineering, delivery management, and
leadership roles
● Proven experience owning delivery for large, complex engineering or AI-driven
programs
● Experience working in both startup environments (speed, ownership, ambiguity) and
MNCs (process, scale, structure)
● Demonstrated job stability with at least one long-term role (4–5 years); ideally limited
to 3–4 organizations
● Strong client-facing experience with senior stakeholder management and escalations
● Bachelor’s degree in Computer Science (mandatory)
● Strong hands-on technical understanding across:
○ AI/ML, LLMs, NLP, and MLOps
○ Microservices architecture and API platforms
○ Cloud platforms: AWS, GCP, or Azure
○ Data engineering, ETL/ELT pipelines
○ DevOps practices including CI/CD, Kubernetes, and Docker
○ System design, architecture reviews, and design patterns
● Ability to review, challenge, and mentor engineering teams on technical and
architectural decisions
● Excellent planning, execution, and problem-solving capabilities
● Ability to manage multiple projects simultaneously under high pressure and tight
timelines
● High ownership mindset with the ability to run delivery like a business
● Strong communication, client-handling, and escalation management skills
● Ability to act as a hands-on, “workhorse” execution leader for the organization
Preferred Qualifications
● M.Tech / MS / PhD in Computer Science or a related field
● Educational background from Tier-1 institutes (IIT / NIT / BITS) or reputed
international universities
● Experience building or scaling delivery organizations in startups or mid-sized
technology companies
● Prior experience in AI-first, enterprise product, or platform engineering environments
Click on Apply to know more.