engineering
Posted 3 weeks agoPrincipal Software Engineer, AI
at SalesLoft
United StatesRemote
Responsibilities
- Build the technical vision and roadmap for our Context Layer: a collection of high-quality data products - including a knowledge graph, RAG engines, and retrieval/search infrastructure - that give AI agents access to the best possible context about our customers and their revenue processes.
- Design and own the access control and RBAC model for the context layer - a genuinely hard problem at the intersection of multi-tenant data, agent identity, and fine-grained permissions.
- Define and evolve the APIs, SDKs, and developer interfaces that teams use to interact with the context layer, ensuring they are ergonomic, well-documented, and built for scale.
- Identify data platform dependencies and work closely with data engineering to ensure the underlying data infrastructure can reliably service the context layer's needs.
- Drive architecture discussions, design and code reviews, and set the technical standard for how context is modeled, stored, retrieved, and governed.
Requirements
- Job Title: Principal Software Engineer, AI
- Clari + Salesloft are building the next era of enterprise revenue - one where teams make confident decisions powered by AI and real signals.
- By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System , enabling humans and AI to work together to make smarter decisions and drive consistent growth.
- You will be a key member of our fast-growing and high-performing AI Platform team in the US, owning the design and build-out of our AI Context Layer - the data platform that gives our AI agents access to high-quality, well-governed context about the world they operate in.
- We are looking for an experienced AI Engineer who can help realize the Clari + Salesloft vision with their passion and proven track record of excellence and innovation.
- We are looking for engineers who are passionate about their work and who thrive on leading-edge technologies to develop ground-breaking AI-driven enterprise-grade applications.
- requirements around data access, lineage, and auditability in an AI context.
- In addition to working with amazing colleagues who exemplify our 'team over self' core value, you will also have the opportunity to work on impactful and revolutionary software that is changing the way sellers sell.
- We're looking for a Principal Software Engineer, AIPrincipal AI Engineer to lead the design and build-out of our Context Layer - the data platform that gives our AI agents access to high-quality, well-governed context about the world they operate in.
- The principal brings cross-cutting technical leadership, roadmap synthesis, and the ability to connect the dots across those domains .
- If you're looking for an opportunity to learn more, do more, and become more, then becoming a Principal AI Engineer is the career path for you! THE TEAM:
- experience designing and building knowledge graphs and/or large-scale retrieval and search systems in production
- Deep expertise in RAG architectures, vector databases, and embedding-based retrieval - including evaluation, quality tuning, and relevance optimization
- Strong understanding of access control and RBAC design in multi-tenant, data-rich environments, with the judgment to navigate the tradeoffs involved •
- Experience designing developer-facing APIs and SDKs, with a track record of building interfaces that are intuitive and well-adopted internally
- Familiarity with data governance, lineage, and audit-ability
- Demonstrated ability to lead technical direction across multiple teams and drive complex, multi-stakeholder projects to delivery •
- Experience with Python and/or Java; comfort working across data engineering, backend systems, and platform infrastructure
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses.
- If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know.
Experience
- 12+ years of professional software engineering experience, with a strong focus on data-layer or search/retrieval infrastructure Proven
Benefits
- It is Clari + Salesloft’s intent to pay all Lofters competitive wages and salaries that are motivational, fair and equitable. The goal of Clari + Salesloft’s compensation program is to be transparent, attract potential employees, meet the needs of all current employees and encourage employees to stay with our organization.
- Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.
- The total compensation package for this position may also include performance bonus,
- benefits and/or other applicable incentive compensation plans.
- Base Pay Range $165,000 — $185,000 USD
Contact
- Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @ clari.com or @ salesloft.com email address.
Additional details
- With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won - the Revenue Context that reveals what happens, when, and with what outcome.
- This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.
- Join us to help transform how companies around the world run revenue - and build the platform that will guide leading revenue teams into the future. THE OPPORTUNITY:
- On a day-to-day basis, you will be responsible to -
- Embed with feature teams across the organization to understand what they need from the context layer - what data, at what quality, in what form - and use those insights to drive the platform roadmap.
- Contribute to hiring strong and diverse talent to strengthen the team.
- Contribute actively to internal documentation, onboarding, and platform adoption programs to ensure the Context Layer is well-understood and widely used.
- You will have an opportunity to make a difference.
- This includes a knowledge graph, RAG and retrieval systems, and the access control and governance infrastructure that sits around them.
- You will be the technical owner and driver of this platform, working across feature teams and data engineering to build systems that are accurate, fast, secure, and a joy to build on.