Revenue Operations (RevOps) Lead

San Francisco, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise Software, Artificial Intelligence, ERP, Supply Chain, FinanceIndustries

Requirements

Candidates should have over 5 years of experience in RevOps, Sales Ops, or GTM Ops within high-growth B2B SaaS companies. Proven experience owning the full GTM stack, including CRM, enrichment, sequencing, attribution, and BI, with a track record of improving funnel efficiency is required. Hands-on experience with AI in GTM contexts, such as prompt and tool design for LLMs, integrating AI with CRMs and data warehouses via APIs and webhooks, and shipping small services or scripts in Python/TypeScript is essential. The role requires a systems thinker and builder, a high-intensity, high-integrity leader, a product-oriented operator comfortable with APIs and data modeling, and an AI-fluent innovator. Strong communication skills, particularly in writing and presenting, are necessary. This is an in-person role based in San Francisco.

Responsibilities

The RevOps Lead will architect the go-to-market (GTM) machine for speed and precision, blending inbound, outbound, and partner channels into a seamless engine. Responsibilities include designing and implementing the GTM data model and toolchain, ensuring clean objects, precise definitions, and eliminating data silos, with an emphasis on AI-native approaches. The role involves aggregating first and third-party data, automating routing, enforcing SLAs, and handling deduplication using rules and LLM-powered enrichment. Creating a single source of truth for pipeline and deal velocity metrics, building user-trusted dashboards, and maintaining high data quality, latency, and safety across AI-powered workflows are key. Leading deal reviews, campaign retros, and partner pipelines with clear accountability and collaborating with product and engineering to ship AI features are also part of the role. Additionally, the RevOps Lead will build and deploy AI tools to automate tasks, enrich signals, score and route leads, draft outreach, summarize calls, and surface next-best actions, including prototyping, A/B testing, and productizing successful AI workflows.

Skills

Revenue Operations

Go-to-Market (GTM) Strategy

Systems Architecture

Data Modeling

Toolchain Management

Data Integration

AI/ML

LLM

Data Analytics

Pipeline Management

Deal Velocity Metrics

Process Creation

SQL

Product Engineering

Doss

AI-driven enterprise software for operations

About Doss

Doss offers the Doss Adaptive Resource Platform (ARP), which combines traditional Enterprise Resource Planning (ERP) systems with artificial intelligence (AI) and machine learning (ML) to help mid-sized to large enterprises streamline their operations. The platform is designed for industries like retail, manufacturing, and logistics, allowing for efficient inventory management and seamless integration with existing systems. Doss stands out by providing a much faster onboarding process compared to traditional ERP systems, which can take up to 18 months to implement. The company operates on a subscription model, offering unlimited users and features for a monthly fee, aiming to enhance operational efficiency and support business growth.

San Francisco, CA, USAHeadquarters

2022Year Founded

VENTURE_UNKNOWNCompany Stage

Enterprise Software, AI & Machine LearningIndustries

11-50Employees