Shape the future of market research.

Full-Time (Global – Remote)
Experience Level: Executive / Partner Level (10+ years experience required)

About this role

You are a builder, a rainmaker, and a domain expert. As the GM of our Private Equity Unit, you will operate as a co-executive, owning the vertical from product architecture to commercialization. You will serve a dual mandate: proactively evangelizing our AI solutions to convert PE buyers, while simultaneously serving as the Auditor and Mentor to our AI models, ensuring they meet the exacting standards of mega-fund investment committees.

What You’ll Do

• Business Leadership & Go-To-Market: Run the PE business unit as a co-executive. Leverage your deep industry relationships to proactively evangelize Serifo, drive pilot programs, and convert top-tier PE firms into enterprise clients.
• Forensic Evaluation: Review agent outputs (e.g., commercial due diligence reports, competitive benchmarking, red-flag risk assessments) and score them on logic, bias, accuracy, and commercial viability.
• Ground Truth Creation: Create "perfect" examples of specific diligence tasks to feed into our training datasets (few-shot prompting).
• Engineering Feedback Loop: Bridge the gap between the deal room and the server room. Translate your elite "deal intuition" into structured feedback that our Engineering and ML teams can use to fine-tune the models.

What We’re Looking For

We are looking for a hybrid executive: a commercially-minded leader with an unquestioned pedigree in Due Diligence (DD). You must fit into one of the following two profiles:

Profile Requirement	Profile A: Top-Tier Consulting Partner	Profile B: Inside Deal Team Executive
Experience	10+ years in the PE due diligence practice of a top consulting firm (e.g., Bain, McKinsey, BCG).	Several years on the deal side inside a Private Equity firm at the VP, Principal, or Partner level.
Expertise	Unquestioned DD expert who has led complex, global diligence streams and managed high-level client relationships.	Unquestioned DD expert who has led or overseen the full diligence process on closed transactions and defended the thesis directly to the IC.
Network & Commercial chops	Possesses a massive, active rolodex of PE buyers and a proven track record of business development/selling engagements.	Intimate knowledge of what drives PE buying decisions, with a strong network of peers across other funds and operating partners.

Why Join Us

• Executive Ownership: You aren’t just joining a company; you are building a business unit from the ground up as a co-executive alongside top-tier Silicon Valley founders.
• Shape the Future: Stop fearing AI and start teaching it. Your deal intuition will literally become part of the code base for the next generation of due diligence tools.
• High-Leverage Work: Move away from grinding in data rooms and pivot to pure intellectual application, product strategy, and high-level enterprise dealmaking.

Application Instructions

1. CV
2. Link to your LinkedIn profile
3. An anonymized deal sheet or inventory of prior DD projects (e.g., "Led commercial due diligence for a $500M buyout...").
4. A brief (1-2 paragraph) overview of your go-to-market strategy for bringing an autonomous AI diligence tool to your existing PE network.

If interested, reach out to hello@serifo.ai to learn more and apply.

Full-Time. SF Bay Area/NYC/Canada (Remote).

About this role

We are looking for a Staff-level technical leader: someone with the rigor of a researcher, the pragmatism of a veteran engineer, and deep technical inertia. You likely hold an MS or PhD in ML/CS, or have the battle scars from shipping highly complex, production-grade search, ranking, or AI systems at scale.

This isn’t a siloed research lab. The medium here is applied AI, and your mission is to define how our systems turn unstructured chaos into actionable intelligence. We deal with massive, dense corpora—think thousands of complex, domain-specific documents at a time. Purely generative agents aren’t enough to solve this; they need to be grounded.

We need an architect who can seamlessly blend agentic workflows with rigorous information retrieval, neuro-symbolic logic, and textual integrity pipelines. You are the kind of leader who reads a paper on advanced hybrid search or prompt optimization in the morning, and by the afternoon, you’ve architected a scalable, self-healing implementation that the rest of the team can build on.

What You’ll Do

• Architect the Hybrid Engine: Design the systems required to ingest, logically chunk, and extract deep domain knowledge from massive corpora. You will build the bridge between deterministic retrieval pipelines and non-deterministic agentic reasoning loops.
• Intelligent Retrieval & Ranking: Build state-of-the-art AI-driven search and ranking pipelines. You will ensure that when our agents ask a question, the underlying retrieval system surfaces the exact, highly-ranked context needed to answer it without noise.
• Automate Optimization: Build programmatic prompt engineering pipelines (e.g., using DSPy or custom compiler loops) so our systems learn to optimize their own context windows and extraction strategies dynamically.
• Force Reliability out of Chaos: You will design the guardrails, textual integrity pipelines, and LLM-as-a-judge evaluators that ground experimental agentic behaviors into reliable, enterprise-grade software.
• Set the Pace: Act as the gravitational pull for our engineering team. Mentor senior engineers, set the architectural standard, and bridge the gap between theoretical limits and production reality.

What We’re Looking For

• Deep Domain Inertia: You bring massive momentum from fields like AI-driven search, neuro-symbolic AI, advanced ranking, or multi-agent systems. You anticipate cascading failures in complex data pipelines before they happen.
• Battle-Tested & Pragmatic: You know exactly when a simple heuristic or a traditional search index beats a complex neural network. You understand state-of-the-art models under the hood, but your ultimate priority is shipping resilient systems.
• Lateral Thinker: When pure LLM approaches hallucinate or hit a wall, you don’t stall. You know how to ground them with knowledge graphs, sophisticated ranking algorithms, or structural text analysis to push past the frontier.

The Stack

• Core Engineering: Expert-level Python and distributed systems design. You write code that sets the standard for the entire company.
• Search & Retrieval Mastery: Deep experience with complex ranking algorithms, vector/hybrid search architectures, textual integrity, and processing at scale.
• Agentic Architectures: Production-level experience orchestrating multi-step agentic workflows, tool-calling, and complex LLM interactions.
• AI Infrastructure & Optimization: Strong background with modern AI frameworks (PyTorch, JAX), programmatic prompt compilation, and deep knowledge of API orchestration at scale.

If interested, reach out to hello@serifo.ai to learn more and apply.

Full-Time. SF Bay Area/NYC/Canada (Remote).

About this role

At Serifo, we are moving beyond AI prototypes and into the era of production-grade enterprise agency. We are looking for a heavy-hitting Senior/Staff Full-Stack Engineer who can build for Fortune 500 applications.

You aren’t just building a UI; you are architecting the secure, multi-tenant backbone of an AI-native ecosystem. We need a builder who understands that an AI agent is only as good as the infrastructure it runs on—someone who prioritizes security, observability, and scale as first-class citizens.

What You’ll Do

• Architect Multi-Tenancy: Design and implement robust data isolation and RBAC structures to ensure enterprise customers can safely deploy agents across diverse organizational units.
• Scale the Workload: Build and manage the orchestration layer that handles high-concurrency agentic workloads, utilizing containerization (Docker/K8s) to ensure seamless scaling.
• Hardened Security: Take ownership of the platform’s security posture, from implementing sophisticated Auth patterns to leading pen-testing efforts and remediating vulnerabilities.
• Interface Evolution: Lead the debate on GraphQL vs. REST for complex data fetching, while implementing Server-Sent Events (SSE) or WebSockets for real-time AI streaming.
• Optimize the Edge: Design rate-limiting and circuit-breaking strategies that protect our infrastructure (and our LLM spend) from non-deterministic agent behavior.
• Product Onboarding: Build friction-free, enterprise-grade onboarding flows that simplify complex configuration for non-technical administrators.

What We’re Looking For

• Senior Pedigree: You have 7+ years of experience, with a significant portion spent building and maintaining distributed systems or enterprise SaaS platforms in the US/Canada market.
• Security Mindset: You don’t view RBAC or pen-testing as an afterthought. You understand OIDC, SAML, and the nuances of securing LLM-based applications against prompt injection and data leakage.
• Infrastructure Fluency: You are a master of modern DevOps. You know how to containerize a complex microservice architecture and keep it running at 99.9% uptime.
• Opinionated Tech Selection: You can articulate exactly when to use a relational DB vs. a vector store, and when to opt for a GraphQL schema over a traditional RESTful API.
• The "Lead from the Front" Mentality: You write clean, testable code that serves as the gold standard for the rest of the engineering team.

Technical Requirements

• Languages: Mastery of and Python and TypeScript.
• Architecture: Deep experience with Multi-tenant SaaS architecture, RBAC/ABAC, and Auth0/Okta integration.
• Communication: Proven experience implementing SSE, WebSockets, REST vs. GraphQL, and high-performance frontends.
• Infrastructure: Proficiency with Docker, Kubernetes, Terraform, and cloud providers (AWS/GCP).
• AI Exposure: While you are an engineering specialist, you have a working knowledge of RAG pipelines and how to optimize the latency of LLM responses in a production UI.

If interested, reach out to hello@serifo.ai to learn more and apply.