Software Engineering LMTS - Data (Remote)

salesforce.com, inc.; San Francisco (CA); Remote; USD 173,000 - 286,000; Full time

Job summary

Salesforce is seeking an engineer to lead the Data Team's core data pipelines, data models, and integrations with Salesforce. You will own end-to-end data systems powering analytics and AI-driven features, ensuring data freshness, quality, and scalable delivery across enterprise customers.

You will shape architecture, drive cross-team collaboration with product and engineering leadership, and mentor others while shipping high-impact data solutions at scale.

Qualifications

• Experience building and operating production data systems at scale.
• Deep knowledge of PostgreSQL, OLAP (ClickHouse or similar), CDC and event streaming.
• Proven technical leadership influencing architecture and delivery.

Responsibilities

• Design and ship data systems end-to-end: models, pipelines, sync, serving layers.
• Drive design for high-volume, multi-component systems with emphasis on correctness and freshness.
• Own Salesforce data flows at enterprise scale.
• Build analytics and insights infrastructure for customer-facing reporting and internal decisions.
• Define data quality standards including SLOs and data contracts.
• Own delivery from scope/design through launch and monitoring.

Skills

Production data systems

PostgreSQL at scale

OLAP systems

CDC and event streaming

ETL orchestration

CRM data modeling

Technical leadership

Tools

Rails

PostgreSQL

AWS

Job description

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Engineering at Qualified is a high-ownership, high-velocity environment where engineers ship customer-facing product to real enterprises at scale. We're building at the frontier of AI + product: developing agentic software and embedding AI directly into our platform, using modern toolchains and processes that help engineers move faster while staying focused on high-impact problem solving.

Following our acquisition by Salesforce, we continue to operate with the pace and ownership of a startup-backed by the distribution, resources, and long-term runway of a global enterprise. Engineers have true end-to-end ownership from idea to production: scoping, implementation, testing, deployment, monitoring, and iterative improvement based on real customer feedback, without layers of approvals slowing you down.

The Role

As an engineer on the Data Team, you'll operate as a technical leader on the layer everything else is built on. The team owns Qualified's data end to end: leads and accounts data models, ETL pipelines, Data 360, Salesforce sync, analytics and insights, data integrations, and Data APIs. Every product area and every AI agent we ship depends on this layer being correct, fresh, and fast.

This is a newer team with real greenfield ahead. You'll shape the architecture of core pipelines and data models, set patterns that other teams build against, and turn a set of inherited systems into a coherent platform. You'll also play a direct role in Piper's intelligence: her ability to reason, personalize, and act is bounded by the data she can see, and the enterprise deals we're closing depend on how confidently that data moves between Qualified and Salesforce.

What You'll Do

• Design and ship data systems end-to-end: models, pipelines, sync, and serving layers that the whole platform builds on
• Drive technical design for high-volume, multi-component systems (ETL, event streaming, analytics stores, APIs) with an emphasis on correctness, freshness, and operational excellence
• Own Salesforce data flows at enterprise scale
• Build the analytics and insights infrastructure that powers customer-facing reporting and internal decision-making
• Define data quality standards: SLOs, data contracts, observability, and the tooling to enforce them
• Own delivery from scope/design through launch, monitoring, and iterative improvement-anticipating risks, sequencing work, and aligning stakeholders
• Partner closely with product teams and engineering leadership to make data a first-class platform capability
• Raise team effectiveness through mentoring, technical guidance, code review, and improving standards, tooling, and processes

Who You Are

• Proven experience building and operating production data systems at scale: pipelines, data models, or high-volume backend services
• Strong depth in several of: PostgreSQL at scale, OLAP systems (ClickHouse or similar), CDC and event streaming, ETL orchestration, or data modeling for CRM-shaped domains
• Demonstrated technical leadership: you influence architecture and execution beyond your immediate workstream
• Strong track record delivering complex projects with multiple stakeholders, dependencies, or phases
• Comfortable operating in ambiguity and driving clarity: a newer team means the roadmap and conventions are still being written, and you find that energizing
• Pragmatic about reliability: you think in terms of data contracts, backfills, idempotency, and what happens when things fail
• Experience with modern stacks (Rails/Postgres/AWS is a plus; adaptability matters most)

Nice to Have

• Experience supporting AI/ML or agentic products, where data freshness and grounding directly shape model behavior
• Experience with enterprise SaaS (especially B2B marketing or sales tech)
• Experience with real-time or event-driven systems
• Startup experience and rapid shipping

Why Join Qualified

• Build the layer everything depends on: Own the data systems that power every product area and every AI agent we ship, with impact that compounds across the platform.
• Real greenfield, real constraints: Shape architecture and patterns on a newer team while serving production traffic for major enterprises from day one.
• AI as a core product surface: Piper's intelligence is bounded by the data she can reason over. Your work directly raises that ceiling.
• Salesforce ecosystem leverage: Define how Qualified data moves into Salesforce Data Cloud and the broader ecosystem, unlocking enterprise expansion.
• High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default.

If you're excited to build the data platform behind an AI-powered product at enterprise scale, we'd love to hear from you.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.