Jobs / United States / Salesforce INC
Software Engineering SMTS - Brain Team (REMOTE)
Salesforce INC · 🇺🇸 California - San Francisco
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 1,544 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 498 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Salesforce INC paid sponsored hires in similar roles472 certified filings for “Software Engineering SMTS” (Software Developers) in CA: $193k–$246k, median $216k. Most were filed at wage level III (41%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Salesforce INC
The US Department of Labor certified 1,544 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 498 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Salesforce INC →
About the role
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. 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 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. You'll work alongside a high-talent-density team that cares deeply about craft, performance, reliability, and user experience, and that raises the bar through collaboration, code review, and strong engineering principles. You'll make architecture decisions, solve meaningful system design challenges, and see your work land quickly with customers, without layers of approvals slowing you down. The Role The Brain team owns the intelligence layer behind Piper, our flagship AI SDR product for qualifying leads and booking meetings. Our team is responsible for building, maintaining, and upgrading the agents that power Piper to support new capabilities and model releases. We own the system prompts, model configuration, context layer, evals, and harness that powers Piper behind the scenes. What You'll Do You will work closely with product teams to build the products and features that allow our customers to bring their customer GTM strategy, CRM data, and guardrails together to deliver an on-brand, personalized, muilti-modal AI SDR agent experience to their website and email. You will work closely with the AI platform teams to build and maintain LLM evals that measure Piperʼs overall health, response quality, and ensure that those changes contribute to business outcomes like converting leads, booking meetings, and driving pipeline. Who You Are Minimum of 5 years of experience working in product engineering or related fields. Customer-centric thinking: have a deep connection of our customers' needs and how that translates to the experiences that we build for them. Much of your work will be tuning the agent to cater towards that, so you must be comfortable working backwards from a customer's preference and finding ways to capture human judgment as success criteria for an agent. Product engineering and ownership. Strong full-stack fundamentals and proficiency in frontend and backend development. Ability to work independently and engage with product and domain experts, spot gaps, and own the ideas through to production. Experience shipping real-time and text- based LLM products is nice to have. Weʼre language-agnostic; familiarity with Rai