Manager - Software Engineering

Manager - Software Engineering at Child Growth Monitor · Remote only · 8 - 15 years · ₹15L - ₹15L / yr · Raised funding · Remote only · Posted 10 Nov 2022

Manager - Software Engineering

at Child Growth Monitor

Posted by KarunaSagar Radapaka

8 - 15 yrs

₹15L - ₹15L / yr

Remote only

Skills

Team Management

Engineering Management

Python

Flask

NodeJS (Node.js)

React Native

Vue.js

Javascript

API

PostgreSQL

MySQL

Microsoft Windows Azure

Software engineering

About Us

Welthungerhilfe is an international aid agency headquartered in Germany with its vision for “Zero Hunger by 2030”, the second sustainable development goal set by the UN. It has thousands of programs fighting hunger in more than 30 countries. Welthungerhilfe (https://www.welthungerhilfe.org/">https://www.welthungerhilfe.org) (https://www.childgrowthmonitor.org/">https://www.childgrowthmonitor.org).

Child Growth Monitor (CGM) is Welthungerhilfe’s digital innovation project leveraging AI to fight child malnutrition. Around 200 million children around the world are suffering from malnutrition. Malnutrition contributes to one-third of the deaths of children under the age of five. In the fight against malnutrition, detection is the first important step, but this is not an easy task: Measuring children with traditional methods is still a complex, slow, and expensive task, frequently resulting in poor data and wrong assessments of the child’s health. Early detection of malnutrition becomes the key to initiating treatment, minimizing the risk of complications, and saving lives by reducing the chances of death to a great extent.

Our solution to measure children replaces hardware (bulky measuring boards and physical scales) with off-the-shelf cell phones and AI. CGM uses augmented reality-enabled smartphones to record 3D scans of children. Artificial Intelligence is used to predict their height, weight, and middle upper-arm circumference needed to know the nutritional status of the children.

This role concerns a full-time assignment (Consultant role) working for Welthungerhilfe’s CGM project. This will convert to Full-time employment (payroll) in 1^st quarter of 2023 latest. We are in the process of setting up CGM as a registered social business in India and Germany.

What you would do to help us save millions of children's lives

You, as an Engineering Manager responsible for end-to-end software development and delivery including ownership of the components/features owned by the individual’s teams and required to be an individual contributor too. Responsible for managing and coordinating resources and processes in order to achieve quality & timely milestones of product development, this will result in transforming the lives of children, their families, community at large globally.

Your Responsibilities

Be a highly technical, hands-on manager for a team of 8 -15 product development teams including QA to execute agile development sprints.
Interfacing with the frontend/backend/ML/AI/DevOps team to develop end-to-end APIs, systems, and architectures.
Building, communicating and executing robust development, documentation, and product engineering processes
Define Strategy and Architecture for the new and existing suites of algorithms and their underlying systems.
Work closely with data scientists, Data Engineers, Product managers, and analysts to develop analytics and ML-driven services that serve ML predictions, and generate data, Insights, and recommendations based on large amounts of data.
Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation
Contribute to and promote good software engineering practices across the team
Coach, lead, and manage a dynamic team of Software and AI/ML Engineers to meet organizational objectives and grow their professional skills and capabilities.
Communicate clearly and effectively to technical and non-technical audiences equally well
Actively contribute to and reuse community best practices.

Technical Skills Required:

Must be a hands-on engineering leader as this role involves rearchitecting and reimplementing systems working alongside the engineers.
Hands-on development experience using Python (Flask for backend), React, React Native, Nodejs, Vuejs, JavaScript, API Development, MySQL, PostgreSQL, and Native Azure cloud development. (You may not need to demonstrate expertise in each of them but have some experience to manage related engineering divisions)
Ability to coordinate across different products, engineering tasks, and implementing the modules along with scalability, security, and extensibility in mind.
Well-versed in Flask-Python stack with backend tools such as Kubernetes etc.
Should possess strong programming skills to write algorithms and understanding of agile development, CI/CD, sprints, code reviews

Eligibility:

10+ years of software development experience using an Agile development process with 3+ years of management experience.
2-3 years of experience working with a Growth Stage Start-up is desirable.
Prior experience with creating and maintaining solution architecture
Minimum of a Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or a related field
Demonstrated track record in building and recruiting robust high performing teams

Personal Traits

Smart, quick learner, proactive, comfortable working with unknowns and dynamically evolving requirements
Strong analytical and problem-solving skills
Excellent oral and written communication skills (interpersonal)
Proven ability to hire, mentor, coach, and lead a team to success

What You'll Get

Working with a globally distributed team and partners such as UN agencies, Microsoft, Scientific Research Institutions across the world, etc.
Flexible work culture & tons of learning curve
Competitive salary package based on expertise and relevant experience.
Chance to shape a disruptive AI-driven project to achieve the 'Zero Hunger by 2030' UN goal.

Hiring Process

You apply
[30 min] Preliminary discussion with HR
[60 min] In-depth interview: Domain/Technical round screen with Head of Product / The product team
[Optional] Scenarios-based recommendation/Culture fit phase- Where you work with us virtually for two days and suggest what's good and improvement areas. Also currently, we gauge our cultural fit with you. [Note- It’s not paid work]
[60 min] In-depth interview: Final round screen with the Leadership team
The next day, we evaluate your interview performance, recommendations, and cultural fit.
Over the next 2-3 days We check references/background and inform you about the hiring decision (Yes or No with feedback)

Diversity at Child Growth Monitor:

We are dedicated to creating an inclusive environment for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or caregiver status. We celebrate diversity and are committed to creating an inclusive environment for all employees. Diversity & Inclusion makes us better.

***

About Us

What you would do to help us save millions of children's lives

Your Responsibilities

Be a highly technical, hands-on manager for a team of 8 -15 product development teams including QA to execute agile development sprints.
Interfacing with the frontend/backend/ML/AI/DevOps team to develop end-to-end APIs, systems, and architectures.
Building, communicating and executing robust development, documentation, and product engineering processes
Define Strategy and Architecture for the new and existing suites of algorithms and their underlying systems.
Work closely with data scientists, Data Engineers, Product managers, and analysts to develop analytics and ML-driven services that serve ML predictions, and generate data, Insights, and recommendations based on large amounts of data.
Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation
Contribute to and promote good software engineering practices across the team
Coach, lead, and manage a dynamic team of Software and AI/ML Engineers to meet organizational objectives and grow their professional skills and capabilities.
Communicate clearly and effectively to technical and non-technical audiences equally well
Actively contribute to and reuse community best practices.

Technical Skills Required:

Must be a hands-on engineering leader as this role involves rearchitecting and reimplementing systems working alongside the engineers.
Hands-on development experience using Python (Flask for backend), React, React Native, Nodejs, Vuejs, JavaScript, API Development, MySQL, PostgreSQL, and Native Azure cloud development. (You may not need to demonstrate expertise in each of them but have some experience to manage related engineering divisions)
Ability to coordinate across different products, engineering tasks, and implementing the modules along with scalability, security, and extensibility in mind.
Well-versed in Flask-Python stack with backend tools such as Kubernetes etc.
Should possess strong programming skills to write algorithms and understanding of agile development, CI/CD, sprints, code reviews

Eligibility:

10+ years of software development experience using an Agile development process with 3+ years of management experience.
2-3 years of experience working with a Growth Stage Start-up is desirable.
Prior experience with creating and maintaining solution architecture
Minimum of a Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or a related field
Demonstrated track record in building and recruiting robust high performing teams

Personal Traits

Smart, quick learner, proactive, comfortable working with unknowns and dynamically evolving requirements
Strong analytical and problem-solving skills
Excellent oral and written communication skills (interpersonal)
Proven ability to hire, mentor, coach, and lead a team to success

What You'll Get

Working with a globally distributed team and partners such as UN agencies, Microsoft, Scientific Research Institutions across the world, etc.
Flexible work culture & tons of learning curve
Competitive salary package based on expertise and relevant experience.
Chance to shape a disruptive AI-driven project to achieve the 'Zero Hunger by 2030' UN goal.

Hiring Process

You apply
[30 min] Preliminary discussion with HR
[60 min] In-depth interview: Domain/Technical round screen with Head of Product / The product team
[Optional] Scenarios-based recommendation/Culture fit phase- Where you work with us virtually for two days and suggest what's good and improvement areas. Also currently, we gauge our cultural fit with you. [Note- It’s not paid work]
[60 min] In-depth interview: Final round screen with the Leadership team
The next day, we evaluate your interview performance, recommendations, and cultural fit.
Over the next 2-3 days We check references/background and inform you about the hiring decision (Yes or No with feedback)

Diversity at Child Growth Monitor:

***

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About Child Growth Monitor

Founded :

2019

Type :

Product

Size :

0-20

Stage :

Raised funding

About

Problem Solution How it works Who is it for Partners Contact Resources Child Growth Monitor Leveraging the power of AI to solve limitations of traditional child measurements., with highest standards in data protection., to make anyone an expert for anthropometric measurement., to solve global hunger. The number of malnourished children is growing globally: Problem Solution […]

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Strong hands-on experience with Python.
Strong experience with ReactJS / React.
Experience leading or managing technical team members.
Strong understanding of AI/ML and Generative AI technologies.
Experience with APIs, databases, Git, and software development lifecycle.
Strong understanding of application architecture and system design.
Experience building and deploying production-grade applications.

Technical Skills – Good to Have

Experience with LLMs, RAG, AI agents, or Generative AI applications.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience with Docker, CI/CD, and DevOps practices.
Experience integrating third-party AI APIs and services.
Experience working in startups or fast-paced technology environments.

What We Are Looking For

Strong technical ownership and problem-solving ability.
Ability to balance hands-on coding with team leadership.
Excellent communication and stakeholder management skills.
Ability to mentor developers and drive accountability within the team
Strong interest in AI and emerging technologies.
A proactive, ownership-driven approach with the ability to work in a fast-paced environment.

Why Join Us?

Work on AI-powered technology with meaningful social impact.
Lead a small, high-ownership technology team.
Work across AI, software engineering, and modern IT infrastructure.
Opportunity to shape technology architecture and engineering practices from the ground up.
Collaborative and fast-moving environment with significant technical ownership.

Job Description: Tech Lead – AI & Technology

Role Title: Tech Lead – AI & Technology

Location: Bangalore, India – Fully On-site

Experience: 5+ Years

Employment Type: Full-time

About the Role

1. Technical Leadership & Team Management

Lead and mentor a team of developers and technical team members.
Own technical delivery across multiple projects and initiatives.
Assign tasks, review progress, resolve technical blockers, and ensure timely delivery.
Conduct code reviews and establish engineering best practices.
Mentor team members and support their technical growth.

2. Software Development & Architecture

Design and develop scalable, secure, and maintainable applications.
Lead backend development using Python and frontend development using ReactJS.
Define application architecture, technology choices, APIs, integrations, and development standards.
Review technical designs and ensure high-quality implementation.
Troubleshoot complex technical issues and drive effective solutions.

3. AI & Technology

Lead the development and integration of AI-powered applications and solutions.
Work with AI/ML models, APIs, LLMs, Generative AI, and related technologies.
Evaluate emerging AI tools and technologies and identify opportunities for practical implementation.
Collaborate with product and business teams to translate requirements into AI-enabled technology solutions.

4. Project Delivery

Own the complete technology lifecycle from requirements and architecture to development, testing, deployment, and maintenance.
Plan sprints, estimate development efforts, and track technical milestones.
Work closely with cross-functional stakeholders to understand requirements and deliver solutions.
Ensure projects meet timelines, quality standards, security requirements, and performance expectations.

5. Engineering Quality & Infrastructure

Establish standards for coding, testing, documentation, version control, and deployment.
Ensure applications are scalable, reliable, and secure. l Collaborate on cloud infrastructure, APIs, databases, CI/CD, and deployment processes.
Identify opportunities to improve system performance and engineering efficiency.

Technical Skills – Must Have

5+ years of software development experience.
Strong hands-on experience with Python.
Strong experience with ReactJS / React.
Experience leading or managing technical team members.
Strong understanding of AI/ML and Generative AI technologies.
Experience with APIs, databases, Git, and software development lifecycle.
Strong understanding of application architecture and system design.
Experience building and deploying production-grade applications.

Technical Skills – Good to Have

Experience with LLMs, RAG, AI agents, or Generative AI applications.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience with Docker, CI/CD, and DevOps practices.
Experience integrating third-party AI APIs and services.
Experience working in startups or fast-paced technology environments.

What We Are Looking For

Strong technical ownership and problem-solving ability.
Ability to balance hands-on coding with team leadership.
Excellent communication and stakeholder management skills.
Ability to mentor developers and drive accountability within the team
Strong interest in AI and emerging technologies.
A proactive, ownership-driven approach with the ability to work in a fast-paced environment.

Why Join Us?

Work on AI-powered technology with meaningful social impact.
Lead a small, high-ownership technology team.
Work across AI, software engineering, and modern IT infrastructure.
Opportunity to shape technology architecture and engineering practices from the ground up.
Collaborative and fast-moving environment with significant technical ownership.

Engineering Manager Fintech company only Tier 1 college only

Posted by Mayank Choudhary

Bengaluru (Bangalore)

8 - 12 yrs

₹90L - ₹100L / yr

React.js

HTML/CSS

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) – Must have minimum 8+ years of overall Software Engineering / Development experience with a strong IC foundation.

Mandatory (Experience 3) – Must have directly managed 4–6+ engineers, including 1:1s, performance management, growth plans, promotions, mentoring, and team development.

Mandatory (Experience 6) – Must have experience owning production operations, including on-call, incident management, debugging, and postmortems for their area.

Mandatory (Experience 7) – Must have experience driving cross-functional alignment with Product and Design and translating ambiguous business/product requirements into scalable technical solutions.

Mandatory (Company) – Must be from a Product Company / Startup, particularly B2B SaaS, Fintech, Payments, or similar technology product environments. (Refer Target Company List)

Mandatory (Role Fit) – Role is 80% people/team management and 20% technical/IC involvement;

Preferred (Education) - Tier 1 engineering college

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) – Must have minimum 8+ years of overall Software Engineering / Development experience with a strong IC foundation.

Mandatory (Experience 3) – Must have directly managed 4–6+ engineers, including 1:1s, performance management, growth plans, promotions, mentoring, and team development.

Mandatory (Experience 6) – Must have experience owning production operations, including on-call, incident management, debugging, and postmortems for their area.

Mandatory (Experience 7) – Must have experience driving cross-functional alignment with Product and Design and translating ambiguous business/product requirements into scalable technical solutions.

Mandatory (Company) – Must be from a Product Company / Startup, particularly B2B SaaS, Fintech, Payments, or similar technology product environments. (Refer Target Company List)

Mandatory (Role Fit) – Role is 80% people/team management and 20% technical/IC involvement;

Preferred (Education) - Tier 1 engineering college

AI/ML Engineer

Posted by Pramila Ranjane

Remote only

7 - 9 yrs

₹27L - ₹45L / yr

Fullstack Developer

Python

React.js

Javascript

TypeScript

+13 more

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Vice President — Engineering

100 network

Agency job

via by tabbasum shaikh

Bengaluru (Bangalore)

14 - 15 yrs

₹70L - ₹90L / yr

Engineering Leadership

GenAI / LLMs

AI Agents

Platform Architecture

Document Intelligence

+3 more

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

Define and drive the technology vision, architecture and long-term platform roadmap.
Oversee the architecture, design and delivery of highly scalable enterprise systems.
Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
Own the GenAI/LLM solutions architecture.
Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
Collaborate with executive leadership on business strategy, client requirements and product delivery.
Build, mentor and scale high-performing engineering teams with a growth mindset.
Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
Proven leadership in defining and executing technology strategy and platform roadmaps.
Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

Strong full-stack engineering background (Java, Python, JavaScript frameworks).
Expertise with JS frameworks such as React, Angular and Node.js.
Experience building and scaling distributed systems and microservices.
Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

Product and delivery management expertise, end to end, including delivery and customer support.
Excellent communication, with the ability to influence executive stakeholders.
High technical proficiency combined with strong business acumen.
Strong analytical and decision-making skills.

About the role

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

Define and drive the technology vision, architecture and long-term platform roadmap.
Oversee the architecture, design and delivery of highly scalable enterprise systems.
Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
Own the GenAI/LLM solutions architecture.
Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
Collaborate with executive leadership on business strategy, client requirements and product delivery.
Build, mentor and scale high-performing engineering teams with a growth mindset.
Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
Proven leadership in defining and executing technology strategy and platform roadmaps.
Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

Strong full-stack engineering background (Java, Python, JavaScript frameworks).
Expertise with JS frameworks such as React, Angular and Node.js.
Experience building and scaling distributed systems and microservices.
Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

Product and delivery management expertise, end to end, including delivery and customer support.
Excellent communication, with the ability to influence executive stakeholders.
High technical proficiency combined with strong business acumen.
Strong analytical and decision-making skills.

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