Software Engineer (Backend & AI Infrastructure)

Location: San Francisco, CA

Hybrid | Full-time

Compensation: $160K – $300K + Equity

Our client is a venture-backed technology firm based in San Francisco that is redefining the global research industry through AI-powered user interviews. By leveraging advanced AI-moderated technology, the platform enables global enterprises to achieve deep qualitative insights at unprecedented speed and scale. Currently serving world-class brands across the technology and consumer sectors, our client is disrupting a $140B market by replacing slow, high-cost legacy services with high-performance automated solutions.

Following a breakout year characterized by 8x growth, the organization recently secured a $30M Series B funding round led by top-tier Silicon Valley investors. The engineering team is currently scaling to support the rapid adoption of AI-moderated research as the new industry standard. This is a high-impact opportunity for a Backend Software Engineer to join a lean, elite team of 30 in San Francisco and take ownership of mission-critical infrastructure.

Key Responsibilities

Staff Software Engineer (Backend)

Location: San Francisco, New York, or Remote (US)

On-site/Remote| Full-time

Compensation: $225K – $300K 

Our client is a high-growth, venture-backed organization (YC W24) that has raised over $35M to pioneer the next generation of autonomous digital workers. Unlike traditional chatbots or copilots, our client builds fully autonomous "AI employees" that research leads, manage complex outbound sequences, handle deliverability infrastructure, and self-optimize through behavioral patterns.

Currently at $8M+ ARR and scaling rapidly, the organization is deep in the development of its next-generation platform—a step change in the capabilities of AI agents. The backend is the core of this transformation, processing millions of signals to facilitate autonomous decision-making. Our client is seeking a Staff Software Engineer to serve in a foundational role, owning major segments of the platform infrastructure and driving high-throughput AI orchestration. The engineering culture is flat, high-velocity, and results-oriented. There is no red tape; engineers are expected to own outcomes end-to-end, from architecture and design to deployment and monitoring.

Key Responsibilities

Location: Toronto, CA

On-site | Full-time

Compensation: 130K-170K (CA$180K – CA$225K)

We are hiring on behalf of our client who is an innovative infrastructure provider building open-source browser solutions specifically designed for AI agents and applications. The platform enables developers to deploy AI products that interact seamlessly with the web through a high-performance Sessions API. Having experienced 50x growth in the past year and serving millions of sessions monthly, the organization is backed by premier investors and maintains a significant open-source presence.

The organization is seeking highly skilled engineers to design, build, and maintain the novel, high-performance systems that power the platform. This role involves solving complex problems at the intersection of browser technology and cloud infrastructure, such as orchestrating millions of sessions across global regions with sub-second cold starts and engineering VM snapshotting for near-instant state restoration.

Key Responsibilities

Data Eng - Analytics and GTM

Location: New york

Onsite | Full-time

Compensation: $140K - $220K

We are hiring on behalf of our client, an aggressively growing, well-funded fintech startup (Series A, $27.9M+ raised) on a mission to bring full transparency to global trading. They are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built on-chain. By leveraging open, auditable code, we ensure that every trade, deposit, and withdrawal is verifiable. Backed by world-class investors including General Catalyst, Jump, and Susquehanna, they are looking for a Data Engineer to build the analytics engine that will power their next phase of growth.

The Role

As the Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help them understand their users, optimize their growth motion, and drive better decision-making across the business. Your mandate is to turn raw on-chain and product data into reliable, self-serve analytics that fuel acquisition, retention, and revenue.

What You’ll Do

Forward Deployed Engineering Manager

Location: San Francisco, CA (In-person)

On-site | Full-time

Compensation: $150K – $225K • 0.05% – 0.25% Equity

Visa: Will Sponsor

Our client is a high-growth, YC-funded startup in San Francisco building a definitive platform to redefine how engineering teams understand and improve their work. By leveraging modern AI, the organization provides an accurate and actionable view of productivity, impact, and collaboration, moving beyond traditional vanity metrics.

Currently trusted by over 150 customers and experiencing consistent double-digit month-over-month revenue growth, the company has secured a $4.2M seed round from premier venture capital firms. Our client is seeking an exceptional Forward Deployed Engineering Manager to join the core team. This individual will serve as a bridge between the customer and the product, ensuring that users derive maximum value from the platform while directly influencing the company's roadmap and strategy.

Key Responsibilities

Octopus by RTG is on a mission of connecting top notch ogranizations around the globe with top notch talents. We are currently looking for a DevOps Engineer.

We are seeking a skilled and proactive DevOps Engineer to join our team. The ideal candidate will be responsible for bridging the gap between development and operations, ensuring smooth deployment and integration of code, maintaining scalable infrastructure, and supporting continuous delivery practices. You’ll work closely with software engineers, system administrators, and other stakeholders to improve reliability, performance, and automation across our systems.

GoMining is looking for an experienced Team Lead DevOps / SRE - a hands-on technical leader who combines deep infrastructure expertise with team leadership. This role is for a playing coach: someone who designs and builds systems personally, while also guiding engineers, setting technical direction, and strengthening DevOps/SRE practices across the company.

You will be responsible not only for reliability, scalability, and security of our crypto & fintech products, but also for developing the team, improving processes, and participating in hiring and technical decision-making

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that supports our clients in improving performance and efficiency. Insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities our solutions leverage or can be directly embedded in our client’s system topologies.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We're looking for a Front-End Engineer with experience in React, someone who is curious, proactive, and passionate about building high-quality digital solutions. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Technology Stack

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.

About the role: 

You will be leading one of the product teams within the Signal SaaS web application. The focus is on building supporting infrastructure and data visualization features — such as charts, graphs, tables, and maps — that help users interact with complex shipping data. Alongside feature development, the team invests in building reusable components that support both their own roadmap and other teams, with a strong focus on automated testing  inside CI/CD pipelines.

SUMMARY:

This role works within the IT Software Asset Management (SAM) Team and is responsible to manage and analyse software inventory. This role is also responsible for supporting and maintaining the licence compliancy across the organisation.  This role provides advice and support in the management of software assets of both in-house and external solutions including cloud technologies. 

This role works closely with the Software License Procurement team, business service owners and stakeholders.

🔹 Software Asset Manager in addition to these responsibilities would also:

1. Oversees the SAM program, aligning it with business goals.

2. Leads cross-functional collaboration to optimize software value.

DESCRIPTION:
Be accountable for supporting an enterprise-wide Software Asset Management platform.

Implement organisational level dashboards including forecasting, planning, of all licensed applications across Cloud/Infrastructure & Operations including budgetary considerations in line with Compliance

Responsible for the support and deployment of the SAM tooling, device inventory coverage across the estate, and data analysis.

Accountable for SAM best practices, offering support where needed to ensure that the approaches are well understood and easily implemented

Understand how cloud and virtualization technologies impact license positions