Engineering Manager

Full-time | On-site

Location: New York City or San Francisco

We are a rapidly growing AI platform leveraging real-time data ingestion, comprehension, and summarization across text, audio, and video to provide actionable insights for communications. We are seeking a dynamic Engineering Manager to build, lead, and scale our core engineering team as we accelerate growth and serve enterprise-grade customers.

The Engineering Manager will be responsible for both technical strategy and people leadership, ensuring the team operates with urgency, rigor, and a focus on long-term scalability. This role requires a balance of hands-on technical work, mentorship, and cross-functional product collaboration.

What You Will Do:

Analytics Engineer

Full-time | On-site

Location: New York

We are a technology company leveraging AI and data to solve complex operational challenges in a life sciences context. We are seeking a highly motivated Analytics Engineer to build the robust data foundation that powers our operations, client reporting, and strategic growth. This is a high-autonomy, high-impact role essential for driving better, faster decisions across the entire organization.

As an Analytics Engineer, you will be the owner of our core data assets and practices. You will ensure data is clean, consistent, and readily available as a source of truth for all internal and external stakeholders, from product to leadership to key clients.

Key Responsibilities:

AI Solution Engineer (Product Owner Focus)

Full-time | On-site

Location: San Francisco, CA

We are a rapidly growing AI enterprise focused on empowering businesses to deploy conversational, AI-powered phone agents at scale. We are looking for a unique individual to join us as an AI Solution Engineer. This role is a hybrid of Solutions Engineering and Product Management, where you will effectively become the product owner of each customer's onboarding journey.

You will own the end-to-end implementation for new enterprise customers, ensuring they rapidly achieve a fully functional, high-impact AI-driven solution. You will blend deep technical expertise with strong product thinking to translate business goals into tangible, measurable AI experiences.

What You'll Do:

AI Engineer (Automotive Software)

Full-time | Hybrid

Location: Sunnyvale, CA

We are a technology leader driving the transformation to AI-enabled software-defined vehicles. Our platform is essential for accelerating the shift from traditional automotive software to systems that evolve rapidly, update seamlessly, and improve continuously. We are seeking an AI Engineer to join our team, working at the cutting edge of in-vehicle intelligence and large-scale data processing.

As an AI Engineer, you will be instrumental in the end-to-end development, optimization, and deployment of machine learning and deep learning models that enhance vehicle systems. You will work with complex algorithms and vast datasets to create smarter, safer, and more intuitive vehicles.

Key Responsibilities:

Staff/Senior/Principal Software Engineer (Elixir/AI Focus)

Location: Remote (with occasional travel)

Base Location: Salt Lake City, UT, US

Employment Type: Full-time

Salary Range: $150K - $260K (Based on YOE; potential flexibility for more tenured candidates)

We are a rapidly growing, well-funded technology company trusted by enterprise clients, developing a leading AI-powered platform for a specialized professional sector. Join our small, highly efficient engineering team to take ownership of complex systems and ship features quickly in a high-velocity, modern tech stack environment.

We are looking for a Staff, Senior, or Principal Software Engineer with a strong background in software engineering leadership to drive the design, implementation, and reliability of our core product. You will take full ownership of features from concept to production in a distributed, modern stack.

What You’ll Do:

Staff Software Engineer, Machine Learning (LLM Backend)

Location: Burlingame, CA (On-site, 4 days/week)

Employment Type: Full-time

Salary Range: $145K - $250K

We are a rapidly growing AI technology company transforming mission-critical processes in the healthcare industry. We are seeking a Staff Software Engineer to architect and scale the secure, reliable backend systems that power our advanced Large Language Model (LLM) applications. This role requires expertise at the intersection of applied AI, distributed systems, and security/compliance in a regulated domain.

You will be responsible for pushing LLMs beyond demos into mission-critical, cost-efficient, and secure production healthcare workflows. This is a technical leadership role driving the end-to-end delivery of core ML/LLM systems.

Key Responsibilities:

Founding Software Engineer (iOS)

Location: New York, NY (100% On-site)

Employment Type: Full-time

Salary Range: $200K - $240K

We are a well-funded, high-growth FinTech company revolutionizing business banking and cash management for consumer brands. We are seeking a Founding iOS Engineer to take complete ownership of our mobile experience. This is a critical role responsible for building and launching a high-performance application from the ground up, shaping how our customers interact with their core financial data daily.

You will be responsible for bringing our product to life on mobile, focusing intensely on speed, reliability, and delivering a delightful user experience (UX). You will be a key player in shaping the technical direction and engineering culture of the company.

What You’ll Do:

Software Engineer (Backend/AI)

Location: San Francisco, CA (100% On-site)

Employment Type: Full-time

Salary Range: $140K - $300K

We are a rapidly growing, well-funded AI company (backed by world-class investors like A16z, Benchmark, and First Round Capital) focused on solving a critical bottleneck for modern AI teams: ingesting complex, real-world enterprise data (like PDFs and spreadsheets) with state-of-the-art accuracy. We have achieved 7x YOY revenue growth, working with hundreds of clients from leading AI startups to large enterprises. We are seeking an exceptional Backend/AI Engineer to build the core platform.

As a Backend/AI Engineer, you will work on our core API, which powers document parsing for hundreds of companies globally. This role requires high agency, a strong bar for quality, and a hands-on approach to the full development lifecycle, from ideation to production.

Core Work Will Include:

Software Engineer (Full Stack, AI/Marketplace)

Location: NYC (100% On-site in SoHo)

Employment Type: Full-time

Salary Range: $140K - $210K

We are a rapidly growing, well-funded technology company (backed by world-class VCs) building the autonomous future of industrial staffing through fully orchestrated, multi-agent AI workflows. Our mission is to redefine labor management and drive peak efficiency across the global supply chain. We are seeking experienced, entrepreneurial engineers to build our foundational core product suite.

We are hiring across multiple seniority levels and both frontend/backend disciplines. You will partner directly with our CTO to own product decisions, architect foundational systems, and iterate on the product roadmap.

Key Responsibilities:

Software Engineer - AI & Legal Tech Transformation

Location: Hybrid - New York

Compensation: $160,000 – $250,000

We are a fast-growing legal technology company, founded by a mix of legal operators and tech veterans from top-tier companies, focused on solving high-impact problems in the legal world. We are turning chaos—repetitive tasks, paper-based bottlenecks, and data fragmentation—into clarity using well-designed systems, AI, and thoughtful software. We are seeking a Software Engineer to own critical features end-to-end and influence our engineering culture from the ground up.

You will be responsible for building fast, shipping often, and partnering closely with cross-functional teams (product, ops, design, and legal experts). This role demands high ownership, requiring you to manage the full feature lifecycle from architecture design to production release. You must move quickly without sacrificing quality, integrating safety, observability, and performance from the start.

What you’ll do: