--- title: 'Applied AI Engineer at Unify' canonical: 'https://feeny.ai/job/applied-ai-engineer-unify-san-francisco-m26gm2mdx29v' type: 'job' last_seen: '2026-11-05' --- # Applied AI Engineer at Unify - **Company:** Unify - **Location:** San Francisco, CA - **Compensation:** $250k–$320k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-20 - **Last confirmed live:** 2026-11-05 - **Apply:** https://jobs.ashbyhq.com/unify/cf6a04a0-dd94-4345-aef2-168f38b50ae1 ## Job description Unify is building the first AI-native outbound platform where agents and sellers work side by side. We help revenue teams identify buyers already in market, enrich accounts with data from 40+ sources, and execute personalized, multi-channel outreach—all from a single AI-powered workspace. Trusted by some of the most innovative go-to-market teams, Unify enables reps to spend less time on manual work and more time building relationships, delivering up to 90% time savings on list building and 19% higher output per rep. We're building a team of curious, ambitious people who care deeply about craftsmanship, move with urgency, and thrive in fast-paced environments. If you're excited about shaping the future of AI and building products that redefine how modern revenue teams work, we'd love to meet you. About the role: As an Applied AI Engineer at Unify, you will bring new agent capabilities from zero to one and build the systems that make them work in production. You’ll own the agent harnesses that turn model capabilities into useful actions: planning, tool execution, context management, memory, and error recovery. You will work closely with product, design, and engineering to build agents that research accounts, identify opportunities, and execute GTM workflows. You’ll move quickly from prototype to customer usage, then use evaluations and real execution traces to make the product better. If you want to build production AI systems and own the outcome from first experiment through launch, this role is for you. What You’ll Do: - Build agent harnesses: Design the execution loops, tool interfaces, context, and memory that let agents complete complex workflows reliably. - Ship AI products end to end: Turn ambiguous customer problems into working features, connecting agents to Unify’s data, integrations, and workflow infrastructure. - Make quality measurable: Build evals from real customer tasks, and use traces and failure analysis to improve agent behavior. - Build for production: Own reliability, latency, and cost. Make long-running tasks resumable, handle tool failures, and give users visibility and control over agent actions. - Experiment with new capabilities: Test models, prompting strategies, retrieval approaches, and orchestration patterns. Measure what improves outcomes and bring it into the product. - Shape our AI foundation: Build reusable tools and engineering practices that help the team ship faster, partnering with product and design to prioritize the work that matters most to customers. Who You Are: - You have 3+ years of software engineering experience and hands-on experience shipping LLM applications or agents to production. - You have built systems with tool calling, multi-step execution, and evaluations. You understand how the software around a model affects what it can accomplish. - You are a strong programmer in TypeScript or Python, with experience building backend systems and integrating APIs. You’re comfortable owning a feature across the stack. - You think empirically. You define success, run experiments, inspect failures, and use evidence to decide what to build next. - You care deeply about customers and can turn a high-level product idea into a deployed solution. You balance speed with sound engineering judgment. - You take initiative, learn quickly, and collaborate generously. You’re comfortable with ambiguity and make the people around you better. ## About Unify ## Company Overview - **One-liner**: Unify is an AI-native go-to-market platform that automates outbound prospecting, sequencing, and intent signal orchestration to help sales teams generate pipeline. - **Entity Type**: Private (Series stage not disclosed) - **Headquarters**: San Francisco, California, USA (also has a New York City office) - **Founded**: 2023 - **Founders**: Not publicly available ## Core Business - **Primary industry/industries**: Sales Technology (GTM/Sales Tech), AI-Powered Sales Automation, Enterprise Software - **Target customers**: B2B sales teams (SDRs, AEs, RevOps) at mid-market and enterprise companies; industries include tech, fintech, and high-growth product companies - **Mission or purpose statement**: “To help the best products win” by transforming growth into a science ## Products & Services - **Unify Platform**: An end-to-end, AI-native outbound platform that combines B2B contact/company data (1.1B people, 65M companies, 40+ data sources), intent signals (web search, job changes, funding, hiring, web visits, tech stack), multi-channel sequencing (email, calls, social), automated list building, managed email deliverability (mailbox creation, warmup, rotation), and reporting/analytics — all accessible via a chat-based AI agent interface. Type: SaaS ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Has powered **$786,008,510 of pipeline** (and counting) for hundreds of customers - **Notable Investors/Backers**: OpenAI, Thrive Capital, Emergence Capital, Battery Ventures - **Growth Signals**: - Company founded in 2023, currently ~64 employees - Headcount growing rapidly with 17+ active job openings (as of mid-2025) - Customers include fast-growing product companies: Airwallex, Perplexity, Together AI, Lattice, Justworks, Openphone, Guru - Team built by alumni from Ramp, Airbnb, Spotify, and Scale AI ## Competitive Advantages - **AI-Native Architecture**: Unlike bolt-on AI features on legacy CRMs, Unify is built from the ground up on AI agents and automation, offering a single conversational interface for prospecting, research, and engagement - **Data & Signal Depth**: Combines 40+ data sources and 100s of signals with waterfall enrichment, real-time email validation, and bounce prevention - **Proven ROI**: Claims 4.2x–6.8x ROI on campaigns, 92% show rate on outbound meetings, 2 hours saved per rep daily, and 75% less time spent prospecting - **Full-Stack Platform**: Replaces the need for separate RevOps/marketing support on list building, sequencing, and deliverability management, giving reps autonomy ## Strategic Focus - **Automating the “science” of growth**: Shifting sales from manual, volume-based outbound to signal-driven, personalized outreach at scale - **Enabling AE self-sourcing**: Helping account executives independently source pipeline (AEs who self-source hit quota at 2x the rate), reducing dependency on SDRs - **Expanding enterprise adoption**: Serving companies like Lattice, Justworks, and Perplexity; targeting larger B2B sales organizations ## Why Work Here - **Engineering & product culture**: Team backgrounds from top tech companies (Ramp, Airbnb, Spotify, Scale AI) — high velocity, product-minded environment - **Work model**: Hybrid/In-Office in San Francisco (HQ) and New York City; "OnSite Workspace" with employees working from physical offices - **Values**: “Give a sh*t,” “Low ego, unified team,” “Get your rock done,” and “Do what’s best for the customer” - **Growth trajectory**: Early-stage (2023) with strong funding from top-tier VCs, growing quickly (~64 employees, many open roles) — opportunity to shape the product and culture - **Mission-driven**: Goal to make success dependent on product quality and customer fit, not email volume — appealing to those who want to build something that changes sales norms ## Sources 1. [unifygtm.com/](https://www.unifygtm.com/) 2. [unifygtm.com/about](https://www.unifygtm.com/about) 3. [unifygtm.com/careers](https://www.unifygtm.com/careers) 4. [builtin.com/company/unify-unifygtmcom](https://builtin.com/company/unify-unifygtmcom) 5. 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