Sia Partners
consulting
EngineeringManager-Product(Python)
Neural analysis suggests this role is
optimal for mid candidates.
“Engineering Manager - Product (Python) at Sia Partners. Skills: Python, distributed systems, microservices architecture, cloud-native design, AWS, Docker, Kubernetes, Terraform, Team Leadership, AI/Generative AI platforms. Hire, coach, and retain top-tier software and cloud engineers. Establish trust through architectural design sessions and code reviews”
What You'll Achieve.
delivering tangible results and superior value; achieve transformation; align software delivery with business priorities; Focuses on business value, not just model or feature completion; ensuring frequent delivery of customer-visible value; Owns delivery of AI/GenAI products from problem framing to production impact
Industry & Context.
pragmatic approach to delivering reliable, scalable systems; Technical Judgment: Understands AI system trade-offs (latency, cost, accuracy, reliability) and challenges decisions when needed; Managing Ambiguity: Operates effectively with evolving requirements and experimental problem spaces
What They're Looking For.
Must Have
Over 8 years in software development, at least 2 years in a leadership role managing software or cloud engineering teams, Proven track record in the technology product sector with a deep understanding of SaaS lifecycles, Expertise in algorithms, data structures, and distributed systems, Deep understanding of cloud-native design patterns and microservices architecture, Proficiency in Python (core), Extensive experience building and launching modern SaaS products on public cloud platforms, specifically AWS, Proficient in containerization and orchestration (Docker, Kubernetes), Proficient in Infrastructure-as-Code (Terraform/CloudFormation), A decisive leader who prioritizes action and outcomes, Outstanding interpersonal skills with the ability to collaborate across global functions, command of English (written and verbal) for effective communication at all organizational levels, Demonstrated ability to lead in a global environment, attracting and retaining top engineering talent while working across different time zones and cultures, Owns delivery of AI/GenAI products from problem framing to production impact, Focuses on business value, not just model or feature completion, Partners tightly with Product / Business to convert AI use cases into executable plans, Understands AI system trade-offs (latency, cost, accuracy, reliability) and challenges decisions when needed, Breaks complex AI initiatives into incremental, shippable milestones, Ensures production-grade AI systems (monitoring, failure handling, iteration readiness), Clearly explains AI limitations, risks, and trade-offs to non-technical stakeholders, Builds and grows high-ownership product engineers and applied AI teams, Operates effectively with evolving requirements and experimental problem spaces, Leads with accountability under delivery pressure and changing priorities
Nice to Have
Working familiarity with Node.js and React.js is highly valued, Experience managing teams that utilize Cursor, GitHub Copilot, or Claude Code as a core part of their daily workflow
What You'll Do.
and retain top-tier software and cloud engineers
Establish trust through architectural design sessions and code reviews
Define and drive quarterly technical roadmaps
Lead the evolution of our cloud ecosystem
Ensure the highest standards of scalability
and performance across all cloud-based services
Embed architectural guardrails and "Cloud-First" best practices
Contribute targeted PRs (scaffolding
Infrastructure-as-Code
developer experience improvements)
Optimize CI/CD pipelines and cloud deployment strategies
Partner closely with Product Managers
and Ops to transform ambiguous product requirements into actionable technical milestones
Engage in recruiting and empowering premier engineering talent
Owns delivery of AI/GenAI products from problem framing to production impact
Focuses on business value
not just model or feature completion
Partners tightly with Product / Business to convert AI use cases into executable plans
Understands AI system trade-offs (latency
reliability) and challenges decisions when needed
Breaks complex AI initiatives into incremental
Ensures production-grade AI systems (monitoring
Clearly explains AI limitations
and trade-offs to non-technical stakeholders
Builds and grows high-ownership product engineers and applied AI teams
Operates effectively with evolving requirements and experimental problem spaces
Leads with accountability under delivery pressure and changing priorities
How You'll Work.
Team & Collaboration
Establish trust through architectural design sessions and code reviews; Cross-Functional Collaboration: Partner closely with Product Managers, Research, and Ops; Talent Development: Attract and develop engineers who excel in collaborative environments; Outstanding interpersonal skills with the ability to collaborate across global functions; Product–Engineering Alignment: Partners tightly with Product / Business; Team Leadership: Builds and grows high-ownership product engineers and applied AI teams
Communication Scope
command of English (written and verbal) for effective communication at all organizational levels; Client & Stakeholder Communication: Clearly explains AI limitations, risks, and trade-offs to non-technical stakeholders
Process & Methodology
Define and drive quarterly technical roadmaps, transform ambiguous product requirements into actionable technical milestones, Delivery Predictability: Breaks complex AI initiatives into incremental, shippable milestones
Full Job Description
Sia Partners is a next-generation global management consulting firm, founded in 1999 and headquartered in Paris, France. The firm is recognised for its innovative approach, combining strategy and management consulting with data science and creativity. Sia Partners serves a diverse range of sectors, including energy, banking, healthcare, and technology, providing services to over 1,000 clients worldwide, including many Fortune 500 companies. With a strong emphasis on delivering tangible results and superior value, Sia Partners is committed to helping clients navigate the digital revolution and achieve transformation. The firm operates with a global presence, employing over 3,500 consultants across 48 locations in 20 countries Our Mumbai office was launched in 2024, marking an exciting new chapter for us. We’re building the team with people who are eager to shape something from the ground up — combining the agility and entrepreneurial energy of a startup with the backing and reach of a global brand. Sia Partners is looking for an Engineering Manager - Product to support the design and delivery of next-generation AI and Generative AI platforms within Sia’s AI Factory. This role is pivotal in bridging high-level product vision with robust, cloud-native engineering execution. You will work closely with product, data science, and platform teams to translate business and client requirements into robust technical solutions. The role requires strong Python expertise, experience with distributed systems and microservices, and a pragmatic approach to delivering reliable, scalable systems in enterprise environments. In addition to technical delivery, you will contribute to architectural decisions, raise engineering standards, and support client-facing engagements through technical leadership and clear communication. Key Responsibilities * Team Leadership: Hire, coach, and retain top-tier software and cloud engineers. Establish trust through architectural design sessions and cod
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