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Head of Engineering Productivity (AI-Enabled) at SPD Technology
Відправити резюмеSPD Technology Всі вакансії (13)
Деталі
Дата публікації
December 10, 2025
Локація
-
Кар'єрний рівень
Senior
Освіта
Bachelor
Досвід
1-2 роки
ABOUT THE PROJECT
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
REQUIREMENTS
– 5+ years in engineering management, DevEx, delivery excellence, or SDLC leadership roles.
– Strong understanding of end-to-end SDLC (including product, architecture, QA, design, and support).
– Hands-on experience with AI-assisted development tools (Copilot, Cursor, Claude Code, test-gen tools, etc).
– Solid understanding of AI fundamentals (LLMs, RAG, agentic workflows, transformers) and desire to stay up-to-date.
– Experience leading cross-functional initiatives and influencing teams in a matrix organization.
– Strong communication, stakeholder management, and coaching abilities.
– Experience running structured rollouts, experiments, pilots, and transformation initiatives.
– KPI-driven, analytical mindset with ability to measure impact.
– Knowledge of AI-related security, compliance, and safe tooling usage standards.
– Would be a plus: Master’s degree in a related field.
– Experience with cloud platforms (AWS, Azure, GCP), microservices, containerization (Docker, Kubernetes)
– Experience in large-scale system design and distributed systems.
– Experience leading architecture review boards or similar governance bodies.
– Strong understanding of end-to-end SDLC (including product, architecture, QA, design, and support).
– Hands-on experience with AI-assisted development tools (Copilot, Cursor, Claude Code, test-gen tools, etc).
– Solid understanding of AI fundamentals (LLMs, RAG, agentic workflows, transformers) and desire to stay up-to-date.
– Experience leading cross-functional initiatives and influencing teams in a matrix organization.
– Strong communication, stakeholder management, and coaching abilities.
– Experience running structured rollouts, experiments, pilots, and transformation initiatives.
– KPI-driven, analytical mindset with ability to measure impact.
– Knowledge of AI-related security, compliance, and safe tooling usage standards.
– Would be a plus: Master’s degree in a related field.
– Experience with cloud platforms (AWS, Azure, GCP), microservices, containerization (Docker, Kubernetes)
– Experience in large-scale system design and distributed systems.
– Experience leading architecture review boards or similar governance bodies.
RESPONSIBILITIES
– Lead SPD’s SDLC evolution (including engineering, PM, QA, architecture, design) with AI-enabled workflows and productivity standards.
– Maintain and regularly evolve playbooks, templates, and delivery excellence practices.
– Introduce and scale AI-assisted development patterns: coding, testing, estimation, architecture, workflow optimization.
– Run productivity-oriented R&D, experiments, and proof-of-value initiatives.
– Drive improvements through the AI Productivity Board and collaborate with architects, EMs, PMs, QA leads, designers, and BU leadership.
– Own the strategy, evaluation, and rollout of AI-augmented development tools (Copilot, Cursor, JetBrains AI, Claude Code, agentic dev tools).
– Build structured ROI and usage feedback loops to maximize developer and delivery efficiency.
– Collaborate with IT, Security, and Compliance on safe, compliant, scalable enterprise deployments.
– Support and coordinate BU-level AI Productivity champions.
– Define structured adoption frameworks, onboarding guidelines, and tooling standards.
– Facilitate BU-level dashboards and reporting for productivity and tool adoption.
– Ensure rollout is aligned with BU delivery constraints, client needs, and engagement realities.
– Foster an AI-first, problem-first mindset across the whole delivery organization.
– Co-own AI learning paths for engineers, PMs, QA, BA, and product teams with L&D.
– Maintain knowledge assets: internal patterns, best practices, reference materials, demos, meetups, communities of practice.
– Inspire teams through hands-on expertise, up-to-date knowledge, and practical examples.
– Define guidelines for prompting, AI coding patterns, testing, accuracy validation, and workflow guardrails.
– Maintain AI usage standards and policies together with Security & Compliance.
– Anticipate and mitigate risks including data exposure, misuse, and resistance to change.
– Define and maintain AI productivity KPIs and qualitative indicators.
– Track adoption, satisfaction, and measurable improvements across all BUs.
– Provide regular visibility and insights to executive leadership.
– Support the VP Delivery in shaping SPD’s AI productivity strategy.
– Communicate progress, insights, expectations, and risks clearly to leadership.
– Help leadership anticipate and plan for evolving AI technology and productivity opportunities.
– Maintain and regularly evolve playbooks, templates, and delivery excellence practices.
– Introduce and scale AI-assisted development patterns: coding, testing, estimation, architecture, workflow optimization.
– Run productivity-oriented R&D, experiments, and proof-of-value initiatives.
– Drive improvements through the AI Productivity Board and collaborate with architects, EMs, PMs, QA leads, designers, and BU leadership.
– Own the strategy, evaluation, and rollout of AI-augmented development tools (Copilot, Cursor, JetBrains AI, Claude Code, agentic dev tools).
– Build structured ROI and usage feedback loops to maximize developer and delivery efficiency.
– Collaborate with IT, Security, and Compliance on safe, compliant, scalable enterprise deployments.
– Support and coordinate BU-level AI Productivity champions.
– Define structured adoption frameworks, onboarding guidelines, and tooling standards.
– Facilitate BU-level dashboards and reporting for productivity and tool adoption.
– Ensure rollout is aligned with BU delivery constraints, client needs, and engagement realities.
– Foster an AI-first, problem-first mindset across the whole delivery organization.
– Co-own AI learning paths for engineers, PMs, QA, BA, and product teams with L&D.
– Maintain knowledge assets: internal patterns, best practices, reference materials, demos, meetups, communities of practice.
– Inspire teams through hands-on expertise, up-to-date knowledge, and practical examples.
– Define guidelines for prompting, AI coding patterns, testing, accuracy validation, and workflow guardrails.
– Maintain AI usage standards and policies together with Security & Compliance.
– Anticipate and mitigate risks including data exposure, misuse, and resistance to change.
– Define and maintain AI productivity KPIs and qualitative indicators.
– Track adoption, satisfaction, and measurable improvements across all BUs.
– Provide regular visibility and insights to executive leadership.
– Support the VP Delivery in shaping SPD’s AI productivity strategy.
– Communicate progress, insights, expectations, and risks clearly to leadership.
– Help leadership anticipate and plan for evolving AI technology and productivity opportunities.
WHAT WE OFFER
– Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth.
– Enjoy the freedom of fully remote work with a flexible working schedule.
– Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software.
– Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learning through the corporate library, public speaking support, and more.
– Work with a team of one mind who cares about what they do and how they do.
– Collaborate with top-notch experts who are always ready to help and support you through any challenges.
– Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
– Enjoy the freedom of fully remote work with a flexible working schedule.
– Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software.
– Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learning through the corporate library, public speaking support, and more.
– Work with a team of one mind who cares about what they do and how they do.
– Collaborate with top-notch experts who are always ready to help and support you through any challenges.
– Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
COMPENSATION & BENEFITS
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СХОЖІ ВАКАНСІЇ
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