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Software Engineer - Agentic AI (San Francisco)

Vercel

<div></div><div><div><div><div><ul><li>Field Engineering</li><li>
Hybrid (Austin, New York City, San Francisco)</li><li>
Full Time</li></ul></div></div><div></div><div><div><h2 class="jobSectionHeader">
About Vercel:</h2>
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.</div><div></div><div><h2 class="jobSectionHeader">
About Vercel:</h2>
Vercel is the platform for building and deploying the modern web. The Frontend Cloud provides the developer experience and infrastructure to build, scale, and secure a faster, more personalized web&mdash;trusted by teams at Under Armour, eBay, The Washington Post, Johnson &amp; Johnson, and Zapier.
Now, with the AI Cloud, Vercel extends this foundation to power agentic applications. The AI Cloud is a unified platform for AI workloads, combining AI SDK, AI Gateway, Fluid Compute, MCP server support, and secure sandboxes, giving teams everything they need to build conversational AI frontends and autonomous agents without infrastructure overhead.
At Vercel, our mission is to enable the world to ship the best products. We're here for the next era of the web, where developers don't just write apps, they define agents.</div><div></div><div><h2 class="jobSectionHeader">
About the role:</h2>
We are looking for a Senior Solutions Engineer to join our Professional Services team. This is not a traditional consulting role&mdash;you will embed directly with our most strategic enterprise customers to drive transformational outcomes across frontend modernization, platform migrations, and AI adoption.
In this role, you will lead complex Next.js migrations, architect high-performance applications, and build production AI solutions&mdash;all within customer environments. You'll work hands-on-keyboard alongside customer teams, whether you're migrating a legacy React application to App Router, conducting a deep-dive code audit, or deploying production agents using Vercel's AI SDK. You will be equally comfortable leading a technical discovery session with engineering leadership as you are refactoring a complex rendering strategy or optimizing an agentic workflow.
Our Solutions Engineers operate with high agency and autonomy. You'll navigate ambiguous enterprise environments, assess technical debt, design migration strategies, and deliver measurable business value&mdash;all while building long-term relationships that expand our partnership with each customer.
You will report to the Director of Professional Services and will be remote-first with significant travel (25-40%) to customer sites for embedded engagements.</div><div></div><div><h2 class="jobSectionHeader">
What you will do:</h2><ul><li>
Lead complex frontend migrations&mdash;modernizing legacy React, Vue, or other frameworks to Next.js, including Pages to App Router transitions, incremental adoption strategies, and large-scale codebase transformations.</li><li>
Conduct technical assessments and code audits, analyzing customer codebases for performance bottlenecks, architectural anti-patterns, and optimization opportunities&mdash;delivering actionable roadmaps that drive measurable improvements.</li><li>
Architect and implement high-performance Next.js applications, leveraging App Router, Server Components, streaming, ISR, edge functions, and advanced rendering strategies to meet enterprise scale and performance requirements.</li><li>
Optimize Core Web Vitals and application performance, using tools like Vercel Speed Insights to diagnose issues and implement fixes that improve SEO, conversion rates, and user experience.</li><li>
Build production AI solutions using Vercel's AI SDK and AI Cloud&mdash;including conversational interfaces, production agents, MCP servers, and agentic workflows that transform customer operations.</li><li>
Embed with strategic customers to build production applications&mdash;working within their systems, understanding their constraints, and shipping TypeScript code that goes live.</li><li>
Drive enablement and knowledge transfer through workshops, pair programming, and documentation&mdash;ensuring customer teams can extend and maintain solutions independently.</li><li>
Navigate complex enterprise environments by building relationships with stakeholders across engineering, product, and executive teams&mdash;translating technical capabilities into business outcomes.</li><li>
Participate in pre-sales activities by providing technical expertise during discovery calls, scoping sessions, and proposal development for migrations, audits, and AI transformation engagements.</li><li>
Contribute to our service evolution by identifying repeatable patterns, building reusable components, and sharing implementation insights back to Product and Engineering teams.</li></ul></div><div></div><div><h2 class="jobSectionHeader">
About you:</h2><ul><li>
5+ years of experience in software engineering with at least 2 years in a customer-facing technical role (consulting, solutions engineering, forward deployed engineering, or technical founder experience).</li><li>
Expert-level TypeScript skills&mdash;this is your primary language. You write production TypeScript daily and have strong opinions on type safety, patterns, and tooling.</li><li>
Deep expertise in Next.js, with a proven track record of architecting and delivering complex applications using App Router, Server Components, server-side rendering (SSR), static generation (SSG), incremental static regeneration (ISR), and edge functions.</li><li>
Demonstrated experience leading frontend migrations&mdash;you've modernized legacy applications to Next.js, navigated incremental adoption strategies, and understand the challenges of migrating large codebases in production environments.</li><li>
Mastery of React and its ecosystem, including advanced state management, performance optimization, and modern patterns like streaming, suspense, and concurrent features.</li><li>
Production experience with LLMs and AI applications, including prompt engineering, agent development, and tool use patterns. Familiarity with Vercel's AI SDK is strongly preferred.</li><li>
High agency with comfort in ambiguity&mdash;you thrive when given a problem to solve rather than a task to complete, and you can navigate complex organizations to drive outcomes.</li><li>
Exceptional communication skills with the ability to conduct technical discovery, present to executives, mentor engineers, and build lasting customer relationships&mdash;all with a low-ego, collaborative approach.</li><li>
Business acumen to understand customer objectives, translate technical capabilities into ROI, and identify expansion opportunities throughout engagement lifecycles.</li><li>
Willingness to travel 25-40% to customer sites for embedded work and relationship building.</li></ul></div><div></div><div><h2 class="jobSectionHeader">
Bonus if you:</h2><ul><li>
Have led large-scale migrations from legacy frameworks (Create React App, Gatsby, custom webpack setups) to Next.js in enterprise environments.</li><li>
Have expertise in performance optimization and Core Web Vitals, with experience diagnosing and fixing LCP, CLS, and INP issues at scale.</li><li>
Have experience with Model Context Protocol (MCP), building MCP servers, or implementing complex tool-use patterns in production AI applications.</li><li>
Have led enterprise AI transformation initiatives, including building production agents that automated manual processes or replaced legacy systems.</li><li>
Have worked with micro-frontends, module federation, or multi-team frontend architectures.</li><li>
Have contributed to the Next.js, React, or AI SDK open-source projects, or maintain popular related libraries.</li><li>
Have experience with enterprise deployment patterns including security reviews, compliance requirements, and multi-region architectures.</li><li>
Have a background in financial services, healthcare, retail/e-commerce, or media&mdash;industries with complex frontend ecosystems and growing AI adoption.</li><li>
Have spoken at conferences or published thought leadership on frontend architecture, migrations, or AI applications.</li></ul></div><div></div><div><h2 class="jobSectionHeader">
Benefits:</h2><ul><li>
Great compensation package and stock options.</li><li>
Inclusive Healthcare Package.</li><li>
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.</li><li>
Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays.</li><li>
Remote Friendly - Work with teammates from different time zones across the globe.</li><li>
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.</li></ul>
The San Francisco, CA base pay range for this role is $137,000.00 - $207,000.00. This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be adjusted based on employee location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.</div></div></div></div>

Senior Solutions Engineer

HackerOne

<div>HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world&rsquo;s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner&rsquo;s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).
HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional &ndash; it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world&rsquo;s top organizations.
HackerOne Values
HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.<h2 class="jobSectionHeader">
Product Monetization Director (Individual Contributor)
</h2><h2 class="jobSectionHeader">Remote Location: Boston, MA; Seattle, WA; San Francisco Bay Area; Austin, TX; or Washington, DC</h2><h2 class="jobSectionHeader">
Position Summary
</h2>As the Product Monetization Director, you will define and establish how product monetization works at HackerOne. You will create the vision, systems, and operating model that translate product value into scalable commercial outcomes across a rapidly expanding portfolio, including AI-native products and an emerging suite of AI agents.
Reporting to the Senior Director, Product Strategy, you will operate as a principal individual contributor with enterprise-wide scope. This role combines visionary thinking with hands-on building: designing pricing models, packaging frameworks, and value realization systems, while leading the change required to embed them across Product, Finance, GTM, and Engineering. Strong learning velocity is essential, as monetization approaches must continuously evolve alongside AI capabilities, customer usage patterns, and market dynamics.
At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Boston, MA; Seattle, WA; San Francisco Bay Area; Austin, TX; or Washington, DC. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together &ndash; fostering collaboration, connection, and in-person moments that enrich our culture &ndash; while still preserving the benefits of remote work.<h2 class="jobSectionHeader">
What You Will Do</h2>
Success in the Product Monetization Director role will be accomplished by delivering on the responsibilities below in alignment with HackerOne&rsquo;s Values and Talent Principles.<ul><li>
AI First: Design and evolve monetization models for AI-powered products and agentic workflows, translating new capabilities into clear value metrics and pricing architectures that scale with adoption.</li><li>
Data-Driven Decision Making: Build fast, repeatable experimentation loops that connect product usage, customer behavior, and revenue outcomes&mdash;using evidence to refine monetization systems over time.</li><li>
First Principles Problem Solving: Establish foundational pricing and packaging frameworks by breaking complex product and market dynamics down to their essentials, replacing ad-hoc decisions with durable systems.</li><li>
Change Agility: Lead change across the organization as monetization moves from fragmented practices to shared frameworks, adapting approaches quickly as new information emerges.</li><li>
Define and own the end-to-end monetization lifecycle, including value definition, packaging, pricing structures, segmentation, discounting guardrails, and value realization.</li><li>
Create the initial operating model for monetization at HackerOne, clarifying decision frameworks, roles, and ways of working across Product, Finance, GTM, and Engineering.</li><li>
Partner deeply across functions to operationalize pricing models within CPQ, billing, quoting, and customer-facing workflows.</li><li>
Serve as a trusted expert and advisor by providing clear trade-off frameworks and monetization narratives that inform long-term strategy and investment decisions.</li><li>
Continuously evolve monetization systems through learning velocity and rapidly incorporating feedback from the market, customers, and internal teams.</li></ul><h2 class="jobSectionHeader">
Minimum Qualifications</h2><ul><li>
10+ years of experience in product monetization, pricing, or related roles with direct ownership of SaaS or platform pricing and packaging.</li><li>
Proven experience designing monetization frameworks across multi-product portfolios, including usage-based or AI-driven business models.</li><li>
Strong analytical capability, including pricing experiments, revenue modeling, and financial analysis.</li><li>
Experience operationalizing pricing decisions across systems such as CPQ, billing, and quoting platforms.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications
</h2><ul><li>Experience establishing a monetization function or capability where one did not previously exist.</li><li>
Experience designing monetization for AI-powered products, agents, or highly technical platforms.</li><li>
Background working with enterprise customers and complex buying journeys.</li><li>
Demonstrated ability to ramp quickly in new domains and adapt monetization approaches as conditions change.</li><li>
Cyber Security experience</li></ul>
Compensation Bands: 
San Francisco
$252K &ndash; $308K &bull; Offers Equity<h2 class="jobSectionHeader">
Seattle, Austin, DC, Boston</h2>
$226K &ndash; $277K &bull; Offers Equity
#LI-Remote
#LI-HM1<h2 class="jobSectionHeader">
Job Benefits:</h2><ul><li>
Health (medical, vision, dental), life, and disability insurance*</li><li>
Equity stock options</li><li>
Retirement plans</li><li>
Paid public holidays and unlimited PTO</li><li>
Paid maternity and parental leave</li><li>
Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)</li><li>
Employee Assistance Program</li><li>
Flexible Work Stipend</li><li>Eligibility may differ by country</li></ul>
We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).
Visa/work permit sponsorship is not available.
Employment at HackerOne is contingent on a background check.
HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.
This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.
For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.
Compensation Range: $226K - $308K</div>

Product Monetization Director

Quantcast

<div>
 At Quantcast, we're redefining what's possible in digital advertising. As a global Demand Side Platform (DSP) powered by AI, we help marketers connect with the right audiences and deliver measurable results across the Open Web. Our foundation is built on cutting-edge measurement and consumer analytics, giving our clients the tools they need to drive success in an ever-evolving digital landscape.
 
 
 Since our start in 2006, we've pioneered industry firsts&mdash;from launching the original measurement platform for digital publishers to introducing the first AI-driven DSP. If you're ready to be part of a dynamic, forward-thinking team that thrives on creating transformative solutions, Quantcast is the perfect place to grow your career.
 
 
 Quantcast is hiring Software Engineers to join our engineering team in our San Francisco office.
 
 
 As the real-time pulse of the Internet, Quantcast runs the world&rsquo;s largest AI-driven insights and measurement platform directly quantifying over 100 million web destinations. We are using machine learning to drive human learning. Quantcast provides brand marketers and publishers with significant audience insights, predictive targeting and measurement solutions across the customer journey.
 
 
 You&rsquo;ll have the opportunity to learn Software Engineering methodologies and will own projects from start to finish. You are passionate about building scalable backend systems and customer-facing applications. You will thrive in an environment where independent decision-making based on product requirements is the norm. We foster an agile environment where new ideas and software development come together to effectively pursue some of our industry's toughest problems.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 You will provide technical solutions to take on exciting problems in the advertising industry.
 </li>
 <li>
 You will partner with a team of engineers and work on a variety of large scale systems.
 </li>
 <li>
 You will collaborate with Product &amp; Business Operations teams to translate business requirements and build highly robust and scalable products.
 </li>
 <li>
 You will gain exposure to existing Quantcast systems and our technologies to internal and external customers.
 </li>
 <li>
 You will be responsible for the day-to-day product operations.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 0 - 3 years of experience.
 </li>
 <li>
 You must be work-authorized in the United States without the need for current or future employer sponsorship.
 </li>
 <li>
 BS, MS or PhD degree in computer science or related field.
 </li>
 <li>
 This is a hybrid role based in our San Francisco office. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time.
 </li>
 <li>
 Excellent command of one or more programming language in Java or Python.
 </li>
 <li>
 Experience working with distributed systems, big data and large-scale systems.
 </li>
 <li>
 Deep understanding of algorithms and data structures.
 </li>
 <li>
 Extraordinary verbal and written interpersonal skills.
 
 
 </li>
 </ul>
 The salary range for this position is $144,900 - $168,400.
 
 
 Quantcast operates in a hybrid work environment. The in office days are Tuesday, Wednesday, and Thursday.
 
 
 At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes eligibility for a performance bonus, equity, and a comprehensive benefits package. Depending on your location, this may include generous vacation, medical, dental, and vision coverage, and retirement plans. For more details, visit our Careers page and see how we support our team. Please see the Applicant Privacy Notice for details on our applicant privacy policy.
 
 
 Founded in 2006 and headquartered in San Francisco, we are a diverse, aligned community with offices across 10 countries worldwide. Join the team that unlocks potential.
 
 
 Quantcast is an Equal Opportunity Employer.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
</div>

Software Engineer

Salesforce

<div>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&rsquo;t a buzzword &mdash; it&rsquo;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&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of 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? Agentforce is the future of AI, and you are the future of Salesforce.
About the Spiff Team:
Spiff, a strategic part of the Salesforce Sales Cloud, is a leader in Incentive Compensation Management (ICM) software, combining intuitive design with a powerful processing engine to drive commissions automation at scale. Our mission is to provide customers with a trusted platform to increase visibility, supercharge selling, and unlock growth. This team is on the front lines of integrating a fast-growing, cloud-native application into the world's leading CRM platform.
The Role:
As a Software Engineering Architect focusing on Spiff, you will be the key technical leader defining and guiding the most critical architectural initiatives for Spiff's platform and services. Your work will directly ensure the massive scalability, seamless platform integration, and AI-driven efficiency of Spiff's compensation platform within the Salesforce ecosystem.
You will be expected to architect solutions across critical domains, from hyperscale infrastructure design and Hyperforce integration to advanced AI/ML systems for product intelligence.
Key Responsibilities:
I. Enterprise Scaling &amp; Hyperscale Infrastructure Architecture
<ul><li>Define and lead the technical strategy for Enterprise Scaling across the Spiff platform to onboard extra-large customers and handle massive transactional volume, specifically focusing on Incentive Compensation Management (ICM) calculation performance.
</li><li>Database Tier Scaling: Architect and implement advanced data strategies, including sharding, partitioning, and replication, to enable the database tier to scale horizontally and sustain the immense read/write throughput required by our largest customers.
</li><li>Application Tier Scaling: Design the application architecture to be highly decoupled, elastic, and leverage cloud-native patterns on Hyperforce (Salesforce's public cloud architecture) for high-performance, low-latency service operation.
</li><li>Establish system performance benchmarks and optimization roadmaps to consistently achieve industry-leading processing speed for complex compensation plan calculations.
</li></ul>II. Core Platform Integration and Adoption
<ul><li>Partner with Salesforce Core Engineering teams to strategically embed Spiff functionality into core and near-core Salesforce components (e.g., Sales Cloud, CRM platform APIs).
</li><li>Define the architecture and protocols necessary to enable easier adoption for existing and new customers by making Spiff's features natively accessible within the Salesforce user experience and data model.
</li><li>Design secure, high-throughput integration patterns (APIs, events, data synchronization) between Spiff&rsquo;s services and the Salesforce platform, ensuring data consistency and adherence to Salesforce security standards.
</li></ul>III. GenAI and ML Architecture for Proactive Insights
<ul><li>Use GenAI and ML architecture to enable proactive insights with respect to sales incentives for customers, such as predicting commission payouts, identifying sales goal misalignment, and recommending optimal compensation plan adjustments.
</li><li>Integrate Spiff's intelligent services with existing agents in the Salesforce Agentic Framework, ensuring the smooth flow of incentive data and calculated commission results to power CRM workflows and user-facing AI assistants.
</li><li>Architect and contribute to the GenAI research team to achieve consistently accurate results by implementing sophisticated data augmentation techniques, including Knowledge Graphs, Retrieval-Augmented Generation (RAG), and Vector Databases, to enhance data context and drive model performance.
</li></ul>Key Accomplishments (Success will be measured by):
<ul><li>Successfully architecting the platform to support 5x the current data and transaction volume for new Enterprise customers.
</li><li>Designing and overseeing the technical embedding of Spiff into core Salesforce products, resulting in a measurable increase in new customer adoption.
</li><li>Delivering a production-ready GenAI/ML architecture that provides measurable proactive incentives insights and is fully integrated into the Salesforce Agentic Framework.
</li></ul>Minimum Qualifications:
<ul><li>10+ years of experience in software engineering, with at least 3 years as a Software Engineering Architect for large-scale SaaS platforms.
</li><li>Demonstrated success architecting multi-tenant platforms for massive scale (1M+ users/transactions per day) at both the application and database tiers.
</li><li>Proven ability to design and implement robust, highly available microservices and distributed systems.
</li><li>Extensive experience with the full lifecycle of production-grade AI/ML model deployment and MLOps.
</li><li>A related technical degree required.
</li></ul>Preferred Qualifications:
<ul><li>Direct experience with Salesforce architecture, Sales Cloud, or Hyperforce infrastructure.
</li><li>Expertise in Ruby on Rails, Elixir and related technologies.
</li><li>Experience supporting large scale applications in production environments.
</li><li>Demonstrated ability to lead technical strategy across multiple highly technical engineering teams.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;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&rsquo;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 &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations 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&rsquo;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 &ndash; 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.&amp;#xa;&amp;#xa;The typical base salary range for this position is $218,400 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Software Engineering Architect - Spiff

<div>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&rsquo;t a buzzword &mdash; it&rsquo;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&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Slack is looking for a Senior Software Engineer to join our Desktop team within the Architecture and Systems organization. This team is responsible for the desktop framework that underpins the Slack desktop client across all platforms. This team is heavily involved within the Electron project, ensuring the continued success and sustainability of the Electron ecosystem on behalf of Slack.
We are looking for an engineer who has deep expertise within Google&rsquo;s Chromium project, who is eager to lead cross functional efforts to uphold Slack security, performance, and stability within the web and desktop client. This engineer should love to keep up to date with the evolving capabilities of browser and desktop based development, be excited about the opportunity to increase developer efficiency and iterate on desktop security and development best practices alongside the rest of the Desktop and Frontend teams, and look forward to opportunities to collaborate across companies to align interests on a unified Electron vision.
Our success depends on working closely with other teams at Slack and at other companies, so communication and collaboration skills are a must. This is an opportunity to work on a team of skilled and impactful engineers that directly affects how Slack&rsquo;s desktop client is built.
What you will be doing:
<ul><li>Leading efforts across Electron to ensure OS level stability, security, and code maintainability
</li><li>Leading cross functional desktop initiatives at Slack associated with increasing developer productivity, performance, or security alongside desktop and frontend stakeholders
</li><li>Maintain and improve the core systems that power the Slack desktop client and Electron framework, including Slack and Electron-based infrastructure and tooling
</li><li>Contributing to key architectural decisions to adapt our existing frontend and desktop infrastructure to support new product features
</li><li>Proactively identifying and remedying communication gaps and issues to reach alignments for complex issues across diverse internal and external audiences and influence organizational goals and strategy
</li></ul>What you should have:
<ul><li>Deep Chromium experience
</li><li>Deep working experience in Node.js and the underlying V8 Javascript engine
</li><li>Experience working with performance profiling and debugging tools for web based desktop applications
</li><li>Familiarity with desktop development, along with the ability to understand and explain technical trade-offs and complexities of web based desktop applications
</li><li>Experience working with large scale open source projects (and having contributed to some is a big plus.)
</li><li>Experience writing understandable, testable code with an eye towards maintainability and scalability.
</li><li>Eagerness to learn, but similar excitement to teach.
</li><li>Strong written and verbal communication skills, equally comfortable communicating with your immediate team, other frontend engineers, or even backend infrastructure engineers.
</li><li>Understanding that the perfect solution is informed by the people who will be building on your work, rather than being purely dependent on technical merits. Empathy is a feature.
</li><li>Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;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&rsquo;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 &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations 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&rsquo;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 &ndash; 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.&amp;#xa;&amp;#xa;The typical base salary range for this position is $117,200 - $176,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $194,200 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Software Engineer, Desktop Client

<div>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&rsquo;t a buzzword &mdash; it&rsquo;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&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Salesforce Cloud Economics and Capacity Management (CECM) team is looking for a Lead Software Engineer with experience across distributed systems to join us!
You will be working cross-functionally with engineers, FinOps analysts, and product managers to build the breakthrough features that our internal customers will love, adopt and use while ensuring stable and scalable applications. You'll be a part of a modern, lean, self-governing FinOps product engineering team where you have the ability to switch hats between coding to requirements gathering, to testing for quality and performance.
CECM develops intelligent, data-driven tools which enable strategic financial operations (FinOps) decision-making pertaining to Salesforce infrastructure expenditure and capacity management . We are building a platform that provides near real-time monitoring of cloud cost and capacity utilization of the infrastructure, which will help in optimizing resource allocation, forecasting spend, and minimizing costs. We incorporate advanced machine learning techniques to turn the petabytes of data generated by our global infrastructure into actionable predictions and business insights used by FinOps practitioners, internal service owners, and technical leaders daily. As an internal tooling team, engineers are expected to directly interact with customers to develop requirements and design, release and maintain distributed systems with visibility throughout Salesforce.
This is a fantastic opportunity for someone who is passionate about building scalable, resilient, distributed systems that collect, process, and analyze massive volumes of cloud cost and usage data. The skillset requires strong data architecture, data processing, SQL and a proven track record working with enterprise metrics to build automated data pipelines. Broad experience in distributed backend development is preferred.
Responsibilities
<ul><li>Develop, automate, enhance, maintain scalable data pipelines
</li><li>Independently design and develop resilient and reusable data automation frameworks
</li><li>Lead distributed backend development pipeline development being delivered by multiple engineers (predominantly Python)
</li><li>Automate cost anomaly detection, alerting, forecasting, budget process, and other FinOps capabilities
</li><li>Develop and maintain dashboards and reports to visualize cloud cost and usage trends
</li><li>Collaborate with finance and engineering teams to understand and manage cloud spending
</li><li>Lead and participate in requirement gathering, design, and development of complex datasets
</li><li>Mentor team members in all aspects of the data maturity lifecycle
</li><li>Work and collaborate with global teams across AMER and APAC regions
</li></ul>Required Skills/Experience
<ul><li>Bachelor&rsquo;s degree in Computer Science or equivalent industry experience
</li><li>7+ years of experience in data engineering, preferably in cloud or FinOps environments
</li><li>Experience in distributed computation such as Spark and Trino
</li><li>Deep expertise in building data pipelines using tools like dbt, Airflow, and similar orchestration frameworks
</li><li>Strong communication and stakeholder management skills
</li><li>Experience working in Agile and Scrum methodology, incremental delivery, and CI/CD
</li><li>Experience in at least one cloud service providers including AWS or GCP
</li><li>Experience in distributed backend software engineering environments
</li><li>Experience with data visualization tools, preferably Tableau
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;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&rsquo;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 &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations 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&rsquo;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 &ndash; 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.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $344,700 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Software Engineering LMTS

Explore 152+ Software engineer agentic ai san francisco in San Francisco this January. Find roles across top companies and apply now to boost your career.