Job description

Job Title: Principal Software Engineer, AI Location : Remote - US 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 At Salesloft, our Principal Engineer for AI sets the technical direction for how machine intelligence works across our Predictive Revenue System. This is the most senior individual-contributor role on our AI engineering team: you will architect the systems that turn LLMs, machine learning models, and agentic workflows into production capabilities that thousands of enterprise revenue teams depend on. This is deep, ambiguous, frontier work. You will make the foundational architectural decisions for AI at Salesloft — how we serve models at scale, how we build reliable systems on top of non-deterministic components, how we evaluate and guardrail agentic behavior, and how we keep pace as the underlying foundation models evolve. You will set the standards other engineers build on and act as a technical multiplier across the AI organization. On a day-to-day basis, you will: Set the technical architecture and direction for AI systems across the platform — model serving, LLM-powered features, agentic workflows, and the infrastructure beneath them. Design production-grade systems that are reliable and observable despite being built on non-deterministic, probabilistic AI components. Architect evaluation frameworks, guardrails, and quality systems that make AI behavior safe, measurable, and trustworthy at enterprise scale. Lead the most complex AI engineering problems end to end — from research-adjacent prototyping through hardened production delivery. Establish engineering standards and best practices for building AI-native systems, and mentor senior engineers across the org. Keep the platform at the frontier by evaluating and integrating advances in foundation models, agent frameworks, and the modern AI stack. This role lives at the heart of how we Lead From the Front: you'll work at the edge of applied AI, prototype rapidly, and make architectural bets ahead of the field. And in the spirit of how we Make Your Mark, you'll set the AI engineering standards and systems that the entire organization builds on — engineered for scale, not for a demo. WHAT WE'RE LOOKING FOR We are looking for an engineer who operates at the highest level of technical authority in AI systems — someone who has architected and shipped production AI at scale and understands the deep challenges of building reliable systems on probabilistic foundations. You lead through technical credibility and make the engineers around you better. You embody what we call Evidence Over Ego — you make architectural decisions from evaluation data and evidence rather than hype, you invite rigorous challenge, and you change direction when the models or the data move. You bring systems thinking to a genuinely unsolved problem space and build for durability. This is the right role if you want to define how AI works on a platform at the center of enterprise revenue. THE TEAM The Salesloft AI Engineering organization builds the machine intelligence at the core of the Predictive Revenue System. The team works at the intersection of applied research and production engineering, in close partnership with Product, Data Science, and Data Platform Engineering. The team Moves as One — AI engineering, product, and data science share ownership of shipping trustworthy AI and make hard technical calls together. And we are relentlessly Customer Inspired: every AI capability is measured against whether it makes revenue teams genuinely more successful and more confident in the system. THE SKILL SET Extensive experience building and architecting production software systems at scale, with significant depth in AI/ML systems. Hands-on experience building production systems on top of LLMs or machine learning models — including designing for the challenges of non-deterministic behavior. Deep expertise in distributed systems, model serving, and the infrastructure required to run AI reliably at scale. Proven experience designing evaluation frameworks, guardrails, or quality systems for AI-driven features. A track record of setting technical architecture and standards across teams and mentoring senior engineers. Strong command of a major programming language (e.g., Python, Java, or Go) and modern cloud infrastructure (AWS or GCP). Hands-on experience with agentic systems — designing and hardening AI agents that take autonomous action in production. Depth in the modern AI stack — retrieval-augmented generation, vector stores, agent frameworks, model orchestration, or evaluation tooling. BENEFITS: For more information about our company's comprehensive benefits please visit: salesloftbenefits.com 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 @ 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 It is Salesloft’s intent to pay all Lofters competitive wages and salaries that are motivational, fair and equitable. The goal of 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

Requirements

Must-haves

Job Title: Principal Software Engineer, AI
Location : Remote - US
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.
Set the technical architecture and direction for AI systems across the platform — model serving, LLM-powered features, agentic workflows, and the infrastructure beneath them.
Design production-grade systems that are reliable and observable despite being built on non-deterministic, probabilistic AI components.
Architect evaluation frameworks, guardrails, and quality systems that make AI behavior safe, measurable, and trustworthy at enterprise scale.
Lead the most complex AI engineering problems end to end — from research-adjacent prototyping through hardened production delivery.
Establish engineering standards and best practices for building AI-native systems, and mentor senior engineers across the org.
Keep the platform at the frontier by evaluating and integrating advances in foundation models, agent frameworks, and the modern AI stack.
This is the right role if you want to define how AI works on a platform at the center of enterprise revenue.
Extensive experience building and architecting production software systems at scale, with significant depth in AI/ML systems.
Hands-on experience building production systems on top of LLMs or machine learning models — including designing for the challenges of non-deterministic behavior.
Deep expertise in distributed systems, model serving, and the infrastructure required to run AI reliably at scale.
Proven experience designing evaluation frameworks, guardrails, or quality systems for AI-driven features.
A track record of setting technical architecture and standards across teams and mentoring senior engineers.
Strong command of a major programming language (e.g., Python, Java, or Go) and modern cloud infrastructure (AWS or GCP).
Hands-on experience with agentic systems — designing and hardening AI agents that take autonomous action in production.
Depth in the modern AI stack — retrieval-augmented generation, vector stores, agent frameworks, model orchestration, or evaluation tooling.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningllmmlpythonjavagoawsgcp

Platform: greenhouse
Effort: quick