Technical Product Manager - Addlly AI

Location

In Office Singapore

Employment Type

Full-time

About Addlly AI

Addlly AI is pioneering the future of search optimization in the age of artificial intelligence. As traditional search engines give way to AI-powered assistants like ChatGPT, Claude, Gemini, Perplexity, and Grok, we're building the infrastructure that helps brands maintain and grow their visibility in this new landscape.

Our Generative Engine Optimization (GEO) platform analyzes brand mentions across 5+ major LLM providers, provides actionable recommendations, and helps enterprise clients optimize their content for AI-powered search. We work with Fortune 500 companies in healthcare, finance, consumer goods, and other industries to ensure their brands are discovered, recommended, and cited by AI assistants.

The Role

We're seeking a Technical Product Manager who can bridge the gap between cutting-edge AI technology and real-world business impact. You'll own product features from conception to launch, working at the intersection of AI/ML, data analytics, and user experience to build products that solve complex optimization challenges for enterprise brands.

This role requires someone who can:

• Think technically - Understand LLM APIs, data pipelines, and system architecture

• Ship strategically - Prioritize ruthlessly and deliver iteratively

• Lead cross-functionally - Work seamlessly with engineers, AI researchers, and designers

• Empathize deeply - Understand both user needs and technical constraints

Key Responsibilities

Product Strategy & Roadmap

• Own and drive the product roadmap for core GEO platform features (analysis modules, recommendation engines, content optimization agents)

• Define product vision and strategy for new AI-powered features based on market trends and customer needs

• Conduct competitive analysis of AI search landscape and identify differentiation opportunities

• Balance short-term wins with long-term strategic initiatives

Feature Development & Delivery

• Write detailed product requirements documents (PRDs) and user stories with clear acceptance criteria

• Work closely with engineering teams to design scalable, maintainable solutions

• Lead sprint planning, backlog grooming, and feature prioritization

• Make technical trade-off decisions between speed, quality, and scope

• Coordinate feature launches across frontend (React/Next.js), backend (Node.js/AWS Lambda), and AI/ML components

AI/ML Product Management

• Collaborate with AI engineers to design and improve LLM-powered agents (GEO audit, content rewrite, messaging generation, etc.)

• Define evaluation metrics and success criteria for AI-generated outputs

• Manage prompt engineering workflows and version control

• Balance AI model performance, cost, and latency constraints

• Stay current with advances in LLM capabilities

Data & Analytics

• Define key product metrics and build dashboards to track feature adoption and impact

• Analyze user behavior data to identify friction points and opportunities

• Run A/B tests and experiments to validate hypotheses

• Build data-driven business cases for new features

Customer & Stakeholder Management

• Partner with enterprise clients to understand their GEO challenges and requirements

• Conduct user research, interviews, and usability testing

• Present product demos, roadmaps, and strategy to stakeholders

• Gather and synthesize feedback from sales, customer success, and support teams

• Create product documentation, tutorials, and training materials

Technical Collaboration

• Work with backend engineers on API design, database schema, and system architecture

• Partner with frontend engineers on UI/UX design and implementation

• Coordinate with DevOps on AWS infrastructure, CI/CD pipelines, and monitoring

• Review code and provide product-focused feedback during pull request reviews

Required Qualifications

Experience

• 1-3 years in product management or related roles (product analyst, technical PM, APM programs)

• 2+ years working on AI/ML products, SaaS platforms, or data-intensive applications

• Proven track record of shipping products from 0 to 1 or scaling products from 1 to 10

• Experience working with cross-functional engineering teams (5-15 engineers)

Technical Skills

• Strong technical foundation: Can read and understand code (JavaScript/Python), review APIs, and discuss system architecture with engineers

• AI/ML literacy: Understanding of LLMs, prompt engineering, embedding models, RAG systems, and AI evaluation metrics

• Data fluency: SQL proficiency, experience with analytics tools (Mixpanel, Amplitude, Looker), A/B testing frameworks

• Cloud infrastructure knowledge: Familiarity with AWS services (Lambda, S3, RDS, API Gateway) or equivalent cloud platforms

• API design experience: REST APIs, GraphQL, webhooks, authentication/authorization

Product Skills

• Expert at writing clear, detailed PRDs and technical specifications

• Strong analytical and problem-solving skills with attention to detail

• Ability to break down complex problems into manageable, shippable increments

• Experience with agile methodologies (Scrum, Kanban) and tools (Jira, Linear, Asana)

• User-centric mindset with experience conducting user research and usability testing

Communication & Collaboration

• Excellent written and verbal communication skills

• Ability to explain technical concepts to non-technical stakeholders

• Experience presenting to executives and enterprise clients

Nice to Have

• Advanced degree in Computer Science, Engineering, Data Science, or related field

• Prior engineering experience (former software engineer, data scientist, or technical role)

• Experience with generative AI products (AI agents, LLM-powered applications)

• Experience building B2B SaaS products for enterprise customers

• Familiarity with Next.js, React, Node.js, PostgreSQL, Prisma

• Understanding of prompt engineering best practices and LLM fine-tuning

• Experience with multi-LLM architectures (routing, fallbacks, cost optimization)

• Background in search, information retrieval, or NLP

• Experience managing API integrations with third-party services (OpenAI, Anthropic, Google AI)

Tech Stack You'll Work With

Frontend

• React with Next.js 14 (App Router)

• TailwindCSS and ShadcnUI component library

• Recharts for data visualization

Backend

• Node.js with Express

• AWS Lambda for serverless functions

• PostgreSQL with Prisma ORM

AI/ML

• OpenAI API (GPT-4, GPT-4-Turbo)

• Anthropic Claude (Claude 3 Opus, Sonnet)

• Google Gemini Pro

• Perplexity API

• Grok API

Infrastructure

• AWS (S3, CloudFront, Lambda, RDS, ElastiCache, API Gateway)

• Vercel for frontend deployments

• GitHub Actions for CI/CD

Tools

• Jira / Linear for project management

• Figma for design collaboration

• Notion for documentation

• Slack for team communication

• PostHog / Mixpanel for analytics

Success Metrics

Month 1-3 (Onboarding)

• Ship first significant feature or improvement

• Complete onboarding with engineering, AI, and design teams

• Conduct 5+ user interviews or customer calls

• Submit 3+ well-structured PRDs

Month 4-6 (Ramping)

• Own and drive 2-3 major features from ideation to launch

• Establish key product metrics and dashboards

• Increase feature adoption or engagement by measurable amount

• Build strong working relationships with cross-functional teams

Month 7-12 (Ownership)

• Lead product strategy for a major product area (e.g., GEO Analysis, Content Agents, Enterprise Platform)

• Drive quarterly roadmap planning and execution

• Demonstrate measurable business impact (revenue, retention, efficiency)

• Mentor junior PMs or contribute to product org culture

What We Offer

Compensation

• 3500-4500 SGD/month, adjustable for exceptional candidates

Growth & Learning

• Direct exposure to cutting-edge AI/ML - Work with latest LLM technologies

• Cross-functional learning - Collaborate with AI researchers, engineers, designers, and sales

• Ownership and autonomy - Drive meaningful products with significant business impact

• Fast-paced environment - Rapid iteration and continuous learning

Culture

• Mission-driven team - Helping brands navigate the AI-powered future of search

• Transparency - Open communication about company strategy and challenges

• Customer-obsessed - Deep empathy for enterprise users and their challenges

• Data-informed - Decisions backed by research, analytics, and experimentation

How to Apply

Application Requirements

Please submit:

1. Resume/CV highlighting relevant product management experience

2. Cover letter (max 500 words) addressing:

4. Why you're excited about Addlly AI and the GEO space

5. A product you built or contributed to that you're proud of

6. How you approach technical trade-offs and prioritization

7. Portfolio or work samples (optional but encouraged):

9. Sample PRD or product spec you've written

10. Product metrics dashboard you've built

11. Case study of a feature you shipped

12. LinkedIn profile link

Interview Process

Stage 1: Screening (30 min)

• Video call with Hiring Manager

• Discussion of background, experience, and motivation

Stage 2: Product Case Study (60-90 min)

• You'll be given a product challenge 48 hours in advance

• Present your approach, trade-offs, and recommendations

• Deep-dive Q&A with product and engineering leads

Stage 3: Technical Deep-Dive (60 min)

• System design or technical architecture discussion

• How you'd approach building a feature end-to-end

• Collaboration with engineering team members

Stage 4: Founder/Leadership Round (45 min)

• Company vision, strategy, and culture fit

• Your questions about Addlly's future

Frequently Asked Questions

Q: Do I need to know how to code

A: You don't need to be able to write production code, but you should be technically fluent enough to read code, review APIs, and have meaningful technical discussions with engineers. Bonus if you've built prototypes or written scripts.

Q: What's the balance between technical and business work

A: Roughly 40% technical (PRDs, system design, data analysis), 40% strategic (roadmap planning, user research, stakeholder management), and 20% operational (sprint planning, standups, reviews).

Q: How much AI/ML expertise is required

A: You should understand how LLMs work at a conceptual level, be familiar with prompt engineering, and stay current with AI trends. Deep ML expertise (model training, fine-tuning) is not required but is a plus.

Q: Is this role remote

A: No

Q: What's the team structure

A: You'll work closely with 2-3 backend engineers, 2-3 frontend engineers, 1-2 AI/ML engineers, 1 designer, and report to the Head of Product or CTO.

Why Join Addlly AI

Be at the Forefront of AI Search

The shift from traditional search engines to AI assistants is as significant as the shift from desktop to mobile. You'll be building the tools that define how brands succeed in this new era.

Work with Cutting-Edge AI

Every day you'll work with the latest LLM technologies from OpenAI, Anthropic, Google, and others. You'll see firsthand how AI capabilities evolve and shape product strategy accordingly.

Enterprise Impact

Your work will directly help Fortune 500 companies in healthcare, finance, and consumer goods optimize their AI presence. You'll see real business impact from the products you build.

Ownership & Autonomy

We trust our PMs to make decisions and drive products forward. You'll have significant ownership over your product area with the autonomy to experiment and iterate.

Learn from the Best

Work alongside experienced engineers, AI researchers, and product leaders who've built products at scale at companies like Google, Meta, Amazon, and top startups.

EEO & data notice

Addlly AI is an equal-opportunity employer. We consider all applicants on merit. Personal data is used for recruitment purposes only.