Growth Product Manager

Location: New York, NY or San Francisco, CA

Employment Type: Full-time

Work Arrangement: Hybrid (In NYC or SF office)

About the Role

Our client, is building the platform that empowers marketers and content teams to "win the battle for attention" using AI-driven search and content creation. They are backed by investors including Unusual Ventures, Wing VC, and Vercel, and are growing a world-class team across multiple hubs.

They are hiring a Growth Product Manager to own the product-led engine that drives content teams from first touch to early habit. This role sits critically at the intersection of product, data, marketing, and sales, focusing on delivering fast time-to-value and clear business outcomes for their platform.

What You'll Do

AI Solution Engineer (Product-Led Onboarding)

Location: San Francisco, CA (Jackson Square)

Employment Type: Full-time

Work Arrangement: On-site

About the Role

Our client, is a rapidly growing AI company focused on empowering enterprises to deploy and scale AI-powered phone agents. They have raised $65 million from top investors, including Emergence Capital, Scale Venture Partners, and the founders of Twilio and ElevenLabs.

They are seeking an AI Solution Engineer who acts as a "product owner" for each customer's onboarding journey. This role is a blend of technical savvy, solutions engineering, and product management, where your core mission is to manage and accelerate the deployment of a fully functional, AI-driven call flow in under two weeks per customer.

What You’ll Do

Founding Product Engineer (AI Consumer Outreach)

Location: Remote, USA

Employment Type: Full-time

Work Arrangement: Fully Remote

About the Role

Our client is a US consumer outreach and prospecting platform that is redefining how brands find and engage new customers. Their platform leverages 11 billion datapoints and 240 million US consumer prediction profiles to provide intelligent automated matching and multi-touch B2C outreach. The company recently raised $5 million in funding.

They are seeking a Founding Product Engineer to build and ship full-stack features that power their AI-driven outreach platform. This is a high-impact, hands-on role where you'll lay the foundation of the entire technology stack, influence product direction, and turn massive datasets into real customer impact.

What You'll Do

Member of Technical Staff - Applied AI / ML Engineer

Location: San Francisco, CA (Union Square)

Employment Type: Full-time

Work Arrangement: On-site 5 days a week

About the Role

Our client is a GenAI-native platform that automates complex tax document processing, serving top accounting firms and wealth management offices. The platform was recently acquired by Thomson Reuters and is operating as a fast-paced, high-growth startup within a larger structure.

They are seeking an exceptional Member of Technical Staff (MTS) focused on ML Product. This is a high-ownership role crucial for scaling their platform to millions of documents, requiring strong fundamental understanding of how to build, measure, and iterate on commercial ML systems for the enterprise.

What You’ll Be Doing

Founding Engineer

Location: San Francisco, CA (Union Square area)

Employment Type: Full-time

Work Arrangement: On-site

About the Role

Our client, is an applied AI research lab building high-fidelity agent environments and tooling with the bold thesis of becoming the single global workforce supplier of AI employees for the entire global economy. They are currently focused on conquering the frontiers of planning, memory, and "always-on-behavior" for their agents.

As a Founding Engineer, you will have a high-agency role, working directly with the CEO and founding team. Your contributions will go beyond just code, actively shaping the product, culture, and architecture. You must be prepared to ship fast, experiment, and iterate without heavy process.

What You'll Do

Location: New York City

Employment Type: Full-time

Work Arrangement: On-site in NYC office (regular travel, 30-50%, for client engagements)

About the Role

Our client, an AI startup founded by engineers from institutions like Palantir and Citadel, is building the first AI-augmented deep research platform for the financial services industry. They recently raised $7.25 million from backers including founders of OpenAI and DBT.

As a Forward Deployed Software Engineer, you will be the technical architect for their most strategic client relationships at top financial firms. This role embodies the principle of "Forward-Deployed with Product DNA," meaning you embed directly with clients to own their outcomes while simultaneously architecting platform features that serve the entire market. Success is measured by your ability to iterate, deploy, and co-develop competitive advantages in high-stakes research environments.

Key Responsibilities

Fullstack Engineer (Python, React)

Location: San Francisco, CA

Employment Type: Full-time

On-site: 9-9-6 in-office schedule

About the Role

Our client is an intensely ambitious, hyper-growth AI startup that is completely rebuilding the foundation of the world’s largest industry: Insurance Claims Processing. They achieved six-figure ARR in just three months and raised a highly oversubscribed $3.8 million seed round from top-tier investors. Their team comes from elite global AI labs (Oxford, Cambridge, ETH Zurich).

They are seeking a Fullstack Engineer with a strong backend focus and clear signals of technical excellence. This role is defined by total ownership—you will be expected to ship features end-to-end and solve every problem, from core infrastructure design to direct client integrations for AI use cases.

What You'll Do

Location: San Francisco, CA (Near Salesforce Tower) Employment Type: Full-time On-site: 5 days a week in-person

About the Role

Our client is an AI startup building foam, a cutting-edge tool designed to be the highest-signal solution for solving software bugs. They've raised $2.4M from notable investors and are focused on making engineering jobs more engaging by automating the debugging process.

They are seeking a Full Stack Product Engineer—a generalist who is comfortable wearing all the hats. In addition to classical full-stack work (from CSS to the database level), you will be expected to increase the general intelligence of the platform by designing and implementing cutting-edge AI product features.

What You'll Do

Schedule: Monday–Friday, 9am–6pm ARG

About eJam

At eJam, we scale innovative consumer brands through performance-driven digital marketing. Our Conversion Rate Optimization (CRO) team plays a central role in this mission, running high-volume A/B tests across landing pages, advertorials, checkout flows, offers, and retention funnels.

Every day, we optimize to drive higher conversions, stronger subscription take rates, and increased customer lifetime value (LTV).

We are seeking a CRO Analyst & Experiment Coordinator to analyze, validate, and report on our tests, ensuring every experiment produces accurate, reliable insights. This person will safeguard our testing process by preventing invalid test setups, spotting extra variables, and ensuring data integrity.

This is a critical role for someone who loves numbers, thrives on precision, and understands how small testing errors can cost a company significant revenue.

AI Software Engineer (Generative AI)

Azumo, a leading AI Development company, is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers. We specialize in delivering Top AI Development services, helping organizations build intelligent applications powered by Generative AI, large language models (LLMs), and advanced automation.

As part of our team, you will collaborate with engineers, data scientists, and domain experts across SaaS, cloud, and big data environments. You will work on cutting-edge AI software development services, translating research into production-ready solutions that drive real-world impact for global clients.

At Azumo, you’ll thrive if you enjoy the full lifecycle of Generative AI development—from ideation and prototyping to deployment, monitoring, and scaling intelligent applications.