Tech Lead Manager, Integration
San Francisco / $200000 - $300000 annum
INFO
SALARY:
$200000 - $300000
LOCATION
San Francisco
Permanent
Tech Lead Manager, Integration (Hybrid - Bay Area)
About the Opportunity
Our client is an innovative, AI-powered workforce management SaaS platform that is rewriting the rules of how modern enterprises plan, execute, and optimize their people operations. Backed by top-tier venture capital, they connect teams via intelligent resource planning and operational analytics.
They are seeking an exceptional Tech Lead Manager (TLM) to join and lead their Integration Infrastructure team. This is a 70/30 hybrid role designed for a senior engineer who loves staying close to the metal while expanding their people management footprint. You will spend roughly 70% of your time on hands-on architecture and high-scale coding, and 30% on mentoring, coaching, and team leadership.
Key Responsibilities
Technical Leadership & Execution (~70%)
- Architect & Build: Design, implement, and optimize scalable integration infrastructure, aiming for five-nines availability and real-time data synchronization.
- Hands-on Coding: Write clean, production-grade code, conduct thorough code reviews, and drive architectural decisions using TypeScript and NestJS.
- Data Pipelines: Own the technical vision for API connectors, webhook infrastructure, and distributed data processing sync pipelines.
- Best Practices: Champion rigorous code quality, comprehensive testing, robust observability, and performance monitoring across the stack.
People Management & Team Leadership (~30%)
- Mentor & Coach: Directly manage a small team of engineers, owning their career growth, regular 1:1s, performance reviews, and development plans.
- Build the Team: Drive the hiring process by defining engineering roles, interviewing candidates, and making critical hiring decisions.
- Culture & Process: Foster a high-trust, high-output team culture rooted in psychological safety and accountability.
- Cross-functional Collaboration: Partner with Product Management and Engineering leadership to groom backlogs, lead Agile ceremonies, and shape the technical roadmap.
Position Requirements
- Education: Bachelor's degree in Computer Science is required.
- Engineering Experience: 8+ years of hands-on software engineering experience, specifically focused on scalable, secure, and resilient distributed systems.
- Leadership Experience: 2+ years of direct people management or formal tech-leading experience with direct reports.
- Domain Expertise: Proven track record building and scaling integration infrastructure (e.g., API connectors, data sync pipelines, ETL frameworks, or iPaaS-style systems) handling large-scale data.
- Core Tech Stack: Strong, production-level proficiency in TypeScript and NestJS is required.
- Data & Cloud: Experience integrating with external databases (PostgreSQL, MySQL, MongoDB, Snowflake) alongside a solid understanding of cloud architectures and containerization.
- Startup Mindset: Comfortable wearing multiple hats, moving fast, and building out systems in a rapid-growth startup environment.
Nice to Have (Bonus Skills)
- Experience with Python or Ruby.
- Experience working on HR Tech, B2B SaaS, or workforce management platforms.
- Familiarity with event-driven architectures and message brokers like Kafka or BullMQ.
- Experience designing developer-facing integration SDKs or AI/ML-powered data processing pipelines.
Why Join?
- High Impact & Ownership: You will work directly in the code-not just configure systems-and ship meaningful infrastructure that directly impacts enterprise customers.
- Best of Both Worlds: Keep your technical edge sharp with deep architectural ownership while building your management track record.
- Comprehensive Compensation: Offers a competitive base salary, meaningful equity upside, comprehensive health benefits, and a flexible, hybrid working culture
CONTACT
Anthony Goodvin
Sourcing Consultant
SIMILAR
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Principal Machine Learning Engineer
$170000 - $210000
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Principal Machine Learning Engineer
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Join a world‑class AI & ML team building production‑grade Generative and Agentic AI systems at enterprise scale.
The role
As a Principal ML Engineer, you’ll sit at the sharp end of applied AI, architecting and shipping LLM, RAG and agentic platforms used across the business. This is a hands‑on senior IC role with real influence: setting engineering standards, mentoring senior engineers, and shaping AI strategy alongside leadership.
What you’ll be doing
- Designing, deploying and operating LLMs, RAG pipelines and autonomous agents
- Building scalable Python backends & APIs (FastAPI, async systems)
- Owning LLMOps/MLOps, cloud AI infrastructure and observability
- Driving best practice across ML, software engineering and platform design
What we’re looking for
- 10+ years in ML / software / data roles, expert Python engineer
- Strong experience with GenAI frameworks, cloud platforms (AWS/GCP/Azure)
- Production mindset: distributed systems, reliability, scalability
- Comfortable influencing teams and leaders without line management
Why apply
- Principal‑level impact and autonomy
- Cutting‑edge AI at real scale (not POCs)
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Apply NOW!
Staff AI Engineer
$200000 - $600000
+ Data Science & AI
Permanent
New York
To Apply for this Job Click HereStaff AI Engineer
(Hands‑on, LLM Platforms, Technical Lead)
Location: New York
Working model: On‑site
Package: Competitive base + performance‑linked upside
The Opportunity
An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.
This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.
The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.
The Role
You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.
Responsibilities include:
- Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
- Owning end‑to‑end system architecture, performance, and scalability
- Developing AI tools to support research, monitoring, knowledge discovery, and decision support
- Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
- Reviewing code, setting engineering standards, and supporting the development of other engineers
- Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
- Assessing third‑party tooling and platforms where appropriate
This is a deeply hands‑on role with real ownership.
What We’re Looking For
Core requirements:
- Strong software engineering background (Python preferred)
- Proven experience building production AI systems, particularly modern LLM applications
- Solid understanding of:
- Prompt design and iteration
- Embedding pipelines and vector databases
- RAG architectures and tool‑use patterns
- Model evaluation and monitoring
- Experience deploying AI products used by non‑technical stakeholders
- Comfortable setting technical direction while remaining a builder
Nice to have:
- Exposure to complex analytical or commercial domains
- Experience working in small, senior engineering teams
- Background in cloud‑native environments
Why Join?
- Ownership of mission‑critical AI systems
- Direct visibility of impact, your work will be used day‑to‑day
- Modern AI stack with freedom to make technical decisions
- Long‑term scope to shape and grow the AI engineering function
To Apply for this Job Click Here
Machine Learning Engineer, LLM
$180000 - $220000
+ Data Science & AI
Permanent
New York
To Apply for this Job Click Here
Machine Learning Engineer, LLM (Applied AI/NLP)
Location: New York (Hybrid)
Compensation: $180K-$220K base + equity + bonus
About the Company
Join a fast-growing AI startup transforming how development teams build and scale modern applications. Their intelligent platform uses LLMs to automate coding tasks, streamline workflows, and boost developer productivity.
The Role
Lead the design and deployment of advanced NLP/LLM solutions that directly impact engineering workflows code generation, documentation, and review automation. Collaborate with senior leadership to take models from research to production.
Key Responsibilities
- Build and fine-tune LLMs for developer-focused use cases
- Optimize models using prompt engineering, RAG, and inference techniques
- Collaborate across teams to align AI capabilities with product goals
- Mentor junior ML engineers and contribute to internal innovation
What You’ll Bring
- 2-8 years in applied NLP/LLM development
- Strong Python and ML stack (PyTorch, HuggingFace, etc.)
- Experience with large code/text datasets and transformer models
- Advanced degree in CS, AI, or NLP (PhD preferred)
- Bonus: Publications in top-tier ML/NLP conferences
Why Join?
- Competitive pay + equity + bonus
- Direct impact on product innovation and IP
- Full benefits: health, vision, dental, 401(k), generous PTO
How to Apply
To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.
To Apply for this Job Click Here
Lead AI Engineer
Pittsburgh
$175000 - $200000
+ Data Science & AI
Permanent
Pittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead AI Engineer
$200,000
Location: Pittsburgh, PA (Onsite)
THE COMPANY
A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.
THE ROLE
As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.
You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.
KEY RESPONSIBILITIES
- Lead the design and development of agentic AI systems from conception through production
- Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
- Build modular “skills” and components that plug into backend systems and data pipelines
- Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
- Guide Agile processes, technical planning, and day‑to‑day engineering execution
- Partner with product and delivery teams to solve complex operational challenges
- Provide mentorship and technical leadership to engineers and data scientists
EXPERIENCE REQUIRED
- Several years of experience building and deploying ML or LLM‑powered systems in production
- Experience leading or mentoring engineering teams
- Demonstrated expertise in LLM integration and agentic system development
- Strong Python engineering skills
- Hands‑on experience with cloud infrastructure (AWS preferred)
- Familiarity with LLM algorithms, scaling patterns, and system reliability
- Ability to operate autonomously in high‑pace, ambiguous environments
- Comfortable with Git and modern engineering workflows
DESIRABLE EXPERIENCE
- Experience designing or deploying complex multi‑agent architectures
- Exposure to startup or high‑growth engineering cultures
- Experience with GenAI coding tools or best practices for agentic systems
- Eligibility to work in secure or sensitive environments
THE OFFER
- Ownership over next‑generation agentic AI strategy and architecture
- Opportunity to lead a high‑impact engineering team
- Work with cutting‑edge LLM and agentic technologies
- Fast‑paced environment with strong technical autonomy
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