Staff Software Engineer

SalesLoft
Guadalajara, MexicoPosted 20 March 2026

Job Description

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. 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 Clari + Salesloft, our Staff Software Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing team where in this role, you will drive the architecture, strategy, and evolution of our platform, ensuring systems are scalable, resilient, and operationally excellent at enterprise scale. On a day-to-day basis, you will collaborate with engineering, product, and operations leaders to solve complex, cross-team challenges and deliver platform capabilities that underpin critical business workflows. Specifically, you will: Provide technical leadership in designing and evolving the architecture of the configuration-driven data platform that powers ML, AI, analytics, and forecasting products at enterprise scale. Define and drive long-term strategy for platform reliability, scalability, observability, and operational excellence across distributed systems, data pipelines, and transformation frameworks. Lead complex cross-system investigations and guide teams in resolving critical production challenges while implementing long-term structural improvements. Architect and drive the development of platform-level frameworks, services, and tooling that enable engineering teams to build, operate, and scale data-driven products efficiently. Influence platform architecture and technical direction across multiple teams, ensuring data pipelines and workflows remain resilient, maintainable, and scalable as the company grows. Mentor senior engineers and act as a technical multiplier by establishing standards, guiding complex problem-solving, and fostering a culture of operational excellence. In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to bring deep technical expertise, a passion for problem-solving, and a customer-first mindset. We foster an open, collaborative environment and are seeking engineers who enjoy tackling complex operational challenges and improving systems beyond the routine. You will have an opportunity to make a difference. WHAT WE’RE LOOKING FOR: We are seeking a visionary software engineer who is passionate about shaping the architecture, strategy, and operational health of enterprise-scale data platforms. You excel at defining technical standards, guiding teams, and ensuring platform resilience, maintainability, and operational excellence at scale. If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Staff Software Engineer is the career path for you! THE TEAM: Our Clari + Salesloft Data Platform team is comprised of seasoned and up-and-coming software development professionals who are all aligned on one vision and mission: Vision: Fundamentally transform the way buyers and sellers drive repeatable outcomes Mission: Bring science to the art of sales The Data Platform team consists of engineers who build and evolve the core platform that powers our products. The team focuses on enabling scalable data processing and providing the foundation that allows product teams to deliver intelligent insights ... (truncated, view full listing at source)
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