Lead Software Engineer (LMTS), Full Stack
qualified · Remote (US/Canada) ·
- Work mode
- Remote
- Seniority
- Lead
- Category
- Fullstack
- Visa sponsorship
- Yes
- Company size
- 51-200
- Salary
- USD 172,500 – 260,100 / year
qualified · Remote (US/Canada) ·
Qualified has been acquired by Salesforce! View the press release:
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.
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. The result is accelerated growth and impact: 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.
As a Lead Engineer on the Product Team, you’ll operate as a technical leader who turns ambiguous, high-stakes product problems into durable, high-quality software—while raising the technical bar for the broader team. You’ll partner closely with product and design to define what we build, how we build it, and how we measure success, and you’ll help translate strategy into concrete execution plans.
You’ll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You’ll also help us translate emerging AI capabilities into practical, reliable product experiences—choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable.
Ship and lead full-stack product initiatives end-to-end across frontend, backend, and data
Drive technical design for complex, multi-component systems (APIs, data models, services, UI architecture) with an emphasis on maintainability and operational excellence
Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value, with strong engineering around evaluation, observability, and iteration
Own delivery from scope/design through launch, monitoring, and iterative improvement—anticipating risks, sequencing work, and aligning stakeholders
Partner closely with product, design, and engineering leadership to shape roadmap, tradeoffs, and requirements
Improve performance, reliability, and overall product quality at enterprise scale
Raise team effectiveness through mentoring, technical guidance, code review, and improving standards, tooling, and processes
Contribute to a strong engineering culture with a bias for action, healthy debate, and high-quality execution
Proven experience shipping production full-stack web applications in a high-ownership environment
Demonstrated technical leadership: you influence architecture and execution beyond your immediate workstream
Strong track record delivering complex projects with multiple stakeholders, dependencies, or phases
Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar), with pragmatic judgment about reliability and user outcomes
Comfortable operating in ambiguity and driving clarity: you can frame problems, propose solutions, and align others
Product-minded: you care about UX and customer outcomes, not just implementation
Strong communicator and collaborator across functions (product, design, engineering)
Ownership mindset and bias for action
Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most)
Curious and continuously learning
Experience with enterprise SaaS (especially B2B marketing or sales tech)
Experience with real-time systems (chat, messaging, event-driven)
Familiarity with Salesforce/CRM integrations
Experience building agentic systems or autonomous tool-using workflows
Startup experience and rapid shipping
Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises.
Work across the full stack: Own meaningful slices of the product across frontend, backend, and data—optimizing for speed, quality, and maintainability.
AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration.
High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default.
Room to grow: Take on larger technical and product scope over time—leading projects, influencing architecture, and leveling up quickly.
If you’re excited to build high-quality full-stack product in a fast-moving team—especially at the intersection of AI and enterprise software—we’d love to hear from you.
Applications will be accepted until June 30, 2026
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.
For Ontario-based roles, the base salary hiring range for this position is CAD 154,700 to CAD 204,700 annually.
For British Columbia-based roles, the base salary hiring range for this position is CAD 154,700 to CAD 212,800 annually.
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
This posting is to fill a vacancy on our team, unless otherwise noted.
Salesforce welcomes all. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. 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 .
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 option.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodation Request Form.
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.