Principal Software Engineer, AI
Salesloft is hiring a Principal Software Engineer, AI for a remote role open to applicants in Mexico. Level rates it ; you can apply on Salesloft.
Level's read on this job
- On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions RAG, Knowledge Graph and AI agents among its tools and skills.
- Level classes it as a lead role.
- Salesloft has 32 other open roles on Level.
AI in this role
Design and build the AI Context Layer data platform powering Salesloft's revenue AI agents.
Job Title: Manager, Software Engineering
Location: Guadalajara, MX - Remote
Salesloft is 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.
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:
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 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.
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.
- 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.
- Address governance and security requirements around data access, lineage, and auditability in an AI context.
- 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.
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. You will have an opportunity to make a difference.
WHAT WE'RE LOOKING FOR:
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. 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. This role sits alongside talented staff engineers who own specific platform domains. 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:
The Engineering Team at Salesloft is deeply committed to building an enterprise-grade platform that serves as the backbone for our customers' most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.
THE SKILL SET:
- 12+ years of professional software engineering experience, with a strong focus on data-layer or search/retrieval infrastructure
- Proven 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 requirements - particularly in enterprise or regulated contexts
- 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
- Excellent communication skills - able to work across engineering, product, data, and leadership to align on direction and drive outcomes
At Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.
We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.
If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!
Please note that all official communication regarding job opportunities at Salesloft will come from an @salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment - all hiring decisions are made by people. 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. Opting out will not impact your experience or consideration.
#LI-REMOTE
How we rate this
Principal Software Engineer, AI at Salesloft rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where ai platform was part of your work. What did you do?
- Tell me about a project where data architecture was part of your work. What did you do?
- Tell me about a project where apis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, AI Platform, Data Architecture, and APIs. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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