Offer summary

Qualifications:

Experience scaling a platform from 0→1 and 1→100., Strong hands-on experience with modern web and AI stacks, particularly Next.js, LangChain, and OpenAI APIs., Background in leading cross-functional engineering teams, including platform, infrastructure, and ML/AI., A strong product sense with the ability to balance speed and quality in fast-paced environments..

Key responsibilities:

Own the technical strategy, architecture, and system design of the platform.

Lead the development of the workflow engine, orchestration layer, and integrations with enterprise systems.

Hire and manage a high-performing engineering team while establishing development processes and metrics.

Collaborate with the product team to define and prioritize product development and user stories.

Job description

Build the autonomous workforce of the future.

Location: Remote (EU timezone preferred)

Compensation: Competitive salary + generous equity (ESOP)

Stage: $3M+ ARR, pre-Series A, bootstrapped, launched MVP May 2023, platform Jan 2024

About FifthRow

FifthRow is automating the work consultants do — and putting that power in the hands of enterprise teams. Our platform replaces expensive, manual research and strategy projects with autonomous agents that deliver the same results in days instead of months. Imagine the firepower of a McKinsey team — always on, always available, and always improving.

Our Platform Enables Customers To

Spin up custom research agents and workflows
Analyze unstructured data (web, PDFs, conversations)
Generate strategic outputs: memos, decks, summaries, forecasts
Operate entire innovation, diligence, and strategy workflows

We’re already working with global enterprises to automate use cases like investment memos, innovation scouting, market entry strategy, LP reports, and more — all using agent workflows that orchestrate LLMs, tools, and business logic.

What You’ll Build

As CTO, you’ll own the vision and execution of our platform — turning FifthRow into the core operating system for enterprise knowledge work.

The Product Includes

A Flow builder – autogeneration of agent chains and instructions within them
Real-time agent orchestration, with memory, context routing, and judgment
A suite of Apps that handle repeatable, high-value workflows (e.g., regulatory tracking, venture research)
Outputs that integrate with email, PowerPoint, PDFs, internal systems, and customer CRMs

Under the hood, we use Next.js, Python, LangChain, OpenAI, AWS (SQS), and PGVector — but we’re open to better ideas and faster ways of scaling.

Your Role

We’ve built 0→1. You’ll lead the platform to 100.

You’ll Be Responsible For

Technical Strategy

Own architecture, system design, and product-technical alignment
Evaluate build vs. buy for key infrastructure: retrieval, memory, search, agents, observability

Platform & AI Infrastructure

Lead development of our workflow engine, orchestration layer, and integrations
Improve modularity, reliability, and performance of agent runs at scale
Build integrations with enterprise systems (CRMs, data sources, endpoints)

Scalability & Reliability

Ensure robustness of parallel agent execution and human-in-the-loop interactions
Secure architecture for compliance (SOC2), data retention, audit logs, etc.

Team Building

Hire and lead a high-performing engineering team across AI, infra, and product
Establish dev processes, CI/CD, observability, and internal velocity metrics

Cross-functional Collaboration

Work with the founder and product team to define and ship what matters
Occasionally interface with customers and prospects for feedback or high-priority engagements

Product development

Create user stories based on product vision
Prioritize along with the product and customer success team
Lead the refinement and other development-related meetings
Own timelines and releases

You Should Have

Experience scaling a platform from 0→1 and 1→100 — architecting and executing as the product grows
Background in leading cross-functional engineering teams, including platform, infra, and ML/AI
Strong hands-on experience with modern web and AI stacks — especially:

Next.js / React
LangChain or similar LLM orchestration tools
OpenAI APIs and fine-tuning strategies
Postgres + Vector DBs (PGVector ideal)
AWS (especially SQS, Lambda, CloudWatch, etc.)

A strong product sense — you think in terms of user workflows, not just features Comfort balancing speed and quality in fast-paced startup environments

Bonus Points

Experience with agentic architectures, prompt chaining, or multi-agent orchestration
Built internal tools, no-code platforms, or developer-facing products
Experience integrating into customer systems and workflows (e.g. Salesforce, Snowflake, internal APIs)
Background in enterprise software with security/compliance needs
You’ve worked in or around strategy consulting or enterprise R&D environments

Why This Role?

Massive market — Enterprise consulting and research is a $200B+ industry, and it’s ripe for automation.
Clear product-market fit — We’re revenue-generating, profitable, and growing fast with Fortune 500 logos.
Real impact — You’ll define how enterprise work gets done in the AI era.
Founding tech role — You’ll shape the team, culture, and stack from here forward.
Backed by experience — The founder has launched 100+ ventures and scaled multiple profitable businesses.

Interested?

If you’re excited about building the infrastructure for an autonomous workforce and want to lead one of the most ambitious AI platforms out there - Let’s talk.

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