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ai agent software engineer

Cooperidge Consulting Firm

<div>
 <strong>
  Cooperidge Consulting Firm
 </strong>
 is seeking an
 <strong>
  AI Agent Software Engineer
 </strong>
 on behalf of a
 <strong>
  top AI-driven technology client
 </strong>
 building next-generation autonomous customer experience systems across industries including finance, healthcare, and travel.
 <br/>
 <br/>
 This role offers the opportunity to build production-grade AI agents that autonomously handle complex, real-world customer interactions traditionally managed by human support teams. The engineer in this role will own features end-to-end&mdash;from concept and design through deployment and iteration&mdash;while collaborating closely with product, operations, and customer-facing teams.
 <br/>
 <br/>
 The ideal candidate is a strong software engineer with curiosity about AI systems, a bias toward ownership, and a desire to build reliable, transparent, and scalable agent-based platforms.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build AI-driven voice and chat agents that deliver high accuracy, efficiency, and customer satisfaction
  </li>
  <li>
   Translate natural language instructions into structured, auditable workflows using a proprietary agent logic framework
  </li>
  <li>
   Own full-cycle development from system design through deployment and continuous improvement
  </li>
  <li>
   Analyze agent performance data to identify trends and drive behavioral and platform-level improvements
  </li>
  <li>
   Experiment with and integrate modern voice and language models, tuning for enterprise reliability, latency, and scale
  </li>
  <li>
   Use real-time observability and tracing tools to understand, debug, and improve agent decision-making
  </li>
  <li>
   Collaborate cross-functionally with product managers, customer teams, and operations partners to solve real business problems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of professional software engineering experience working on production systems with real users
  </li>
  <li>
   Strong proficiency in Python and TypeScript, including asynchronous programming and error handling
  </li>
  <li>
   Solid debugging and troubleshooting skills using logs, profilers, and raw data analysis
  </li>
  <li>
   Strong computer science fundamentals (language background flexible)
  </li>
  <li>
   Proactive mindset with curiosity around how AI agents reason, fail, and improve
  </li>
  <li>
   Willingness to learn&mdash;prior AI experience is not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to multimodal AI systems or voice interface development
  </li>
  <li>
   Experience with enterprise customer experience or conversational automation platforms
  </li>
  <li>
   Interest in tools that improve agent transparency through testing, visualization, and simulation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Full-time roles offering overtime and weekend work opportunities
  </li>
  <li>
   Competitive hourly wages plus potential quarterly bonuses
  </li>
  <li>
   Comprehensive health, vision, and dental insurance plans
  </li>
  <li>
   Life insurance coverage
  </li>
  <li>
   401(k) retirement plan with company matching contributions
  </li>
  <li>
   Paid time off including vacation, sick leave, and holidays
  </li>
  <li>
   Opportunities for career growth and advancement
  </li>
  <li>
   Employee discount programs and perks
  </li>
 </ul>
</div>


AI Agent Software Engineer

Plaid

<div><div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div></div><div><br>
AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices. We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape.</div><div></div><div><b><br>
Plaid in the FinTech AI Ecosystem</b></div><div>
Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem.</div><div></div><div><br>
We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on.</div><div>
The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered products and solutions they build.</div><div></div><div><b><br>
Plaid&rsquo;s AI-powered Experiences for Customers</b></div><div>
The explosive growth in model intelligence and increasing relevance for enterprise tasks offer a unique opportunity for Plaid to rethink from the ground up how we operate and interact with our customers for the most optimal experience.</div><div></div><div><br>
Our early experiments in building AI agents for customer experience are paying off with huge business value. For example, our homegrown AI-powered customer support agents resolve a significant proportion of customer questions and issues within seconds, which would otherwise have required humans hours to work on.</div><div>
This is just the beginning and there is so much more we could do.</div><div></div><div><b><br>
The AI Applications Team</b></div><div>
You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid&rsquo;s transformation into an AI-first company.</div><div></div><div><br>
In this role you will lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include:</div><div>
- Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond</div><ul><li>Redefine how Plaid&rsquo;s consumer link experience embed into conversational interfaces in the most seamless way</li></ul><div>
Architect the trust layer for the future of agentic commerce that will become the industry standard</div><div></div><div><br>
Additionally you will be expected to scale and extend our existing successful bets on AI-powered customer experience; examples include:</div><div>
- Make the next step-function improvement in our homegrown customer support agent - land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop - Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc.</div><div>
- Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products</div><div></div><div><br>
You will have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI &lt;&gt; Fintech will be heading longer term.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features</li><li>
Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they&rsquo;re expected to have the highest impact</li><li>
Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches</li><li>
Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li><ul><li>
Strong SWE fundamentals (system design, APIs, etc.)</li><li>
Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to:</li><li>
Prompt engineering</li><li>
Fine-tuning</li><li>
Retrieval augmented generation (RAG)</li><li>
Semantic search - vector database and embedding models</li><li>
Agent orchestration framework</li><li>
Evaluation and monitoring framework of open-ended tasks</li><li>
Streaming and SSE</li><li>
Common UX and design patterns for GenAI-powered products</li><br>
<div></div><li>
Strong debugging and monitoring experience for production systems</li><li>
Ability to deeply understand customer and user needs through user research and rapid experimentation - be your own technical PM</li><li>
Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 -&gt;1 projects</li><li>
Extremely curious and passionate about working in GenAI applications space</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Nice-to-Haves</b></h3><ul><li><ul><li>
Experience training and/or serving ML models in production, or fine-tuning LLMs for domain-specific use cases</li><li>
Comfortable operating in privacy/PII-sensitive environments and applying compliance mitigations</li></ul></li></ul></div></div>
<div><div>$202,800 - $330,000 a year</div><div>
The target base salary for this position ranges from $202,800/year to $330,000/year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div></div>
<div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div></div><div><br>
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected].</div></div></div><div></div>

Staff Software Engineer - AI

OpenAI

About the Team
<br><br>
Security Products is on a mission to transform cybersecurity by leveraging AI to give defenders a decisive advantage.
<br><br>
Born out of OpenAI’s security research program and incubated with Sam Altman’s encouragement, the Security Products team is taking the breakthroughs we’ve developed internally and bringing them to the world. Our tools are already protecting OpenAI’s own systems, and we’re looking to scale their impact to the world.
<br><br>
We are a lean, high-caliber team
<br><br>
operating at the frontier of AI and security
<br><br>
. We blend security research with product engineering to explore what’s possible, build what’s practical, and give defenders an unprecedented advantage – all while advancing the science of AI-driven security itself.
<br><br>
About the Role
<br><br>
As a Data Engineer on this team, you’ll help invent and build the next generation of AI-powered cybersecurity products. You’ll take the lead in building our data pipelines, core tables, and analytics to ensure our products are robust, reliable, and impactful.
<br><br>
This is a fast-moving, high-ownership role. You’ll collaborate closely with security experts, AI researchers, and product engineers, shaping both the technical foundation and the product direction of a team that is scaling quickly. You don’t need to be a security expert to succeed here – just someone excited to solve meaningful problems and build tools that materially improve defenders’ capabilities.
<br><br>
<b>What you’ll do:</b><br>
Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
<br><br>
Develop canonical datasets to track key product insights including security outcomes, engagement and usage, and performance.
<br><br>
Work directly with internal and external customers to deeply understand their workflows and translate them into intuitive, powerful product experiences.
<br><br>
Work collaboratively with cross-functional partners, including Infrastructure, Data Science, Product, Marketing, Go-To-Market, and Research to solve problems and enable product success.
<br><br>
Implement robust and fault-tolerant systems for data ingestion and processing.
<br><br>
Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
<br><br>
Ensure the security, integrity, and compliance of data according to industry and company standards.
<br><br>
Help shape the engineering culture, architecture, and processes of a new business unit with a critical mission.
<br><br>
<b>What we’re looking for:</b><br>
Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).
<br><br>
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
<br><br>
Familiarity with public cloud environments (Azure or AWS) and infrastructure tooling (Kubernetes, Terraform, etc.).
<br><br>
Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
<br><br>
Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
<br><br>
Solid understanding of Spark and ability to write, debug and optimize Spark code.
<br><br>
Ability to thrive in a fast-paced environment where problems may be ambiguous, emerging, or rapidly evolving.
<br><br>
About OpenAI
<br><br>
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
<br><br>
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
<br><br>
Compensation
<br><br>
$255K – $325K + Offers Equity

Data Engineer, Security Products

Office Hours

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Office Hours is a consulting platform and marketplace that helps people earn by sharing what they know. Experts create profiles, set their rate, and receive consulting or survey opportunities based on their professional expertise. Companies and organizations can quickly search the marketplace to find and learn from thousands of advisors on demand.
 <br/>
 <br/>
 <strong>
  What We Believe
  <br/>
  <br/>
 </strong>
 Human knowledge is one of the world&rsquo;s most valuable assets. Yet most of it remains locked in people&rsquo;s heads, inaccessible and underutilized. Our mission is to unlock that knowledge by building tools for the knowledge-sharing economy, so anyone can realize the value of what they know.
 <br/>
 <br/>
 We are headquartered in San Francisco and backed by top marketplace and business operators like Saar Gur, Marco Zappacosta, Lenny Rachitsky, Jackson Gates, and Aaron Levie. Our customers include the fastest-growing digital health companies, software startups, venture capital firms, and leading consulting firms.
 <br/>
 <br/>
 The role
 <br/>
 <br/>
 On the surface, Office Hours feels simple: search, match, connect, and pay. Behind the scenes, the platform is powered by a complex system spanning discovery, recommendations, data pipelines, logistics, payments, compliance, and performance.
 <br/>
 <br/>
 We&rsquo;ve built the full stack in-house, from expert profiles and search experiences to workflow tools and integrations that power scheduling, compliance, and payments, all connected through an evolving knowledge graph.
 <br/>
 <br/>
 We&rsquo;re looking for a Full Stack Software Engineer who enjoys building end-to-end product experiences and wants to grow alongside a fast-moving team. This role is ideal for a strong product-minded engineer who likes collaborating closely with design and product, learning by shipping, and taking ownership of real user problems.
 <br/>
 <br/>
 What you'll do
 <br/>
 <br/>
 <ul>
  <li>
   Build and ship end-to-end product features across the front end and back end, from early discovery through production release
  </li>
  <li>
   Collaborate closely with design, product, and engineering partners to deliver thoughtful, polished user experiences
  </li>
  <li>
   Design, implement, and improve scalable, reliable services and APIs with a focus on clarity, performance, and maintainability
  </li>
  <li>
   Write high-quality, well-tested code, participate in code reviews, and contribute to strong development practices
  </li>
  <li>
   Experiment with new tools and workflows, including AI-powered capabilities, and iterate based on real-world feedback
   <br/>
   <br/>
  </li>
 </ul>
 What we're looking for
 <br/>
 <br/>
 <ul>
  <li>
   3+ years of professional software engineering experience
  </li>
  <li>
   Experience shipping production features in a modern web application
  </li>
  <li>
   Comfort working across the stack, or strong interest in becoming a full-stack engineer
  </li>
  <li>
   Ability to translate product and user needs into practical technical solutions
  </li>
  <li>
   A proactive mindset and comfort working in a fast-paced, evolving environment
   <br/>
   <br/>
  </li>
 </ul>
 Our tech stack
 <br/>
 <br/>
 <ul>
  <li>
   Back end: Node.js, Typescript, MongoDB &amp; Postgres, OpenSearch, Temporal
  </li>
  <li>
   Front end: React, Next.js, Tailwind, shadcn
  </li>
  <li>
   Infrastructure: AWS (CDK &amp; Terraform), Kubernetes, Docker, Datadog &amp; Sentry
  </li>
  <li>
   Workflow: GitHub, Slack, Notion, Figma, PostHog, Metabase
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and equity
  </li>
  <li>
   Medical, dental, and vision coverage
  </li>
  <li>
   Wellness and fitness stipend
  </li>
  <li>
   Flexible vacation and company holidays
  </li>
  <li>
   Regular company retreats (Tahoe, Mendocino, Mexico City, San Diego, Park City)
  </li>
  <li>
   Parent-friendly policies, remote flexibility, and paid family leave
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Pay Transparency Notice
  <br/>
  <br/>
 </strong>
 Full-time offers include base salary, equity, and benefits.
 <br/>
 <br/>
 <strong>
  Pay range:
 </strong>
 $130,000&ndash;$155,000, based on seniority and relevant experience.
 <br/>
 <br/>
</div>


Software Engineer, Full Stack

Salesforce

<div><p><i>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.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>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.
</p><p></p><p>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.
</p><p></p><p><b>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.
</b></p><p></p><p><b>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.
</b></p><p></p><p><b>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.
</b></p><p></p><p><b>What you will be doing:
</b></p><ul><li><p><b>Leading efforts across Electron to ensure OS level stability, security, and code maintainability
</b></p></li><li><p><b>Leading cross functional desktop initiatives at Slack associated with increasing developer productivity, performance, or security alongside desktop and frontend stakeholders
</b></p></li><li><p><b>Maintain and improve the core systems that power the Slack desktop client and Electron framework, including Slack and Electron-based infrastructure and tooling
</b></p></li><li><p><b>Contributing to key architectural decisions to adapt our existing frontend and desktop infrastructure to support new product features
</b></p></li><li><p><b>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
</b></p></li></ul><p></p><p><b>What you should have:
</b></p><ul><li><p><b>Deep Chromium experience
</b></p></li><li><p><b>Deep working experience in Node.js and the underlying V8 Javascript engine
</b></p></li><li><p><b>Experience working with performance profiling and debugging tools for web based desktop applications
</b></p></li><li><p><b>Familiarity with desktop development, along with the ability to understand and explain technical trade-offs and complexities of web based desktop applications
</b></p></li><li><p><b>Experience working with large scale open source projects (and having contributed to some is a big plus.)
</b></p></li><li><p><b>Experience writing understandable, testable code with an eye towards maintainability and scalability.
</b></p></li><li><p><b>Eagerness to learn, but similar excitement to teach.
</b></p></li><li><p><b>Strong written and verbal communication skills, equally comfortable communicating with your immediate team, other frontend engineers, or even backend infrastructure engineers.
</b></p></li><li><p><b>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.
</b></p></li><li><p><b>Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience.
</b></p></li></ul><p></p><p>Unleash Your Potential
</p><p>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 <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. 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.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>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.
</p><p></p>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.
<p></p>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><p></p>

Software Engineer, Desktop Client

Rhythms

<div><h2 class="jobSectionHeader"><b>About Rhythms</b></h2><p>
Rhythms is building the AI business execution system that enables enterprises to become AI-native&mdash;fundamentally rethinking how organizations operate, execute, and scale. We're founded by entrepreneurs who built and sold Chronus (acquired by PE) and Ally.io (acquired by Microsoft). We've raised a $26M seed round from top investors including GreenOaks, Madrona, and Accel, alongside CXOs from global technology leaders&mdash;earning GeekWire's 2024 Deal of the Year and named a 2025 AI Innovation of the Year finalist.</p><p>
Rhythms transform how enterprises become AI-native by connecting strategic planning and OKRs directly to day-to-day execution and real-time progress tracking. Built on multi-agent AI architecture, our platform connects with Slack, Teams, Jira, Linear, and other daily tools to automate operational workflows, surface predictive insights and risks, eliminate manual status updates, and build organizational memory that grows smarter over time. Enterprise customers choose us because we're making agentic AI reliable enough to run critical business operations.</p><p></p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
We&rsquo;re hiring a <b>Demand Generation Lead</b> who is deeply tactical and analytics-driven. Your job is to build the demand engine, run paid programs hands-on, optimize funnel performance, and make data-backed decisions that directly drive pipeline.</p><p>
This role is for someone who loves spending time in dashboards, refining attribution, analyzing audience segments, running experiments, and continuously improving CAC and conversion rates. The CEO will own brand and storytelling; <b>you will own growth mechanics and measurable performance.</b></p><p></p><h2 class="jobSectionHeader"><b>
You&rsquo;ll Own</b></h2><h3 class="jobSectionHeader"><b>
Paid Acquisition &amp; Channel Optimization</b></h3><ul><li><p>
Run paid programs hands-on: LinkedIn, Google SEM, retargeting, display, and emerging channels</p></li><li><p>
Own targeting logic, audience segmentation, bidding strategies, pacing, and budget allocation</p></li><li><p>
Build and iterate on experiments across creative, copy, and landing pages</p></li><li><p>
Maintain tight CAC, CPL, and ROAS reporting and optimize weekly</p></li></ul><h3 class="jobSectionHeader"><b><br>
Analytics, Attribution &amp; Instrumentation</b></h3><ul><li><p>
Build dashboards for full-funnel performance (traffic MQL SQL opportunity)</p></li><li><p>
Implement tracking across channels, website, and product using tools like GA4, HubSpot, UTMs, and attribution platforms</p></li><li><p>
Diagnose funnel drop-offs and run tests to improve conversion at each stage</p></li><li><p>
Forecast pipeline impact from spend scenarios and channel mix changes</p></li><li><p>
Own marketing data quality and measurement frameworks end-to-end</p></li></ul><h3 class="jobSectionHeader"><b><br>
Website &amp; Landing Page Performance</b></h3><ul><li><p>
Build, test, and optimize landing pages with clear hypotheses and measurement plans</p></li><li><p>
Run A/B and multivariate tests on headlines, structure, forms, and CTAs</p></li><li><p>
Improve conversion from anonymous visitor lead sales-qualified lead</p></li></ul><h3 class="jobSectionHeader"><b><br>
Lifecycle &amp; Funnel Optimization</b></h3><ul><li><p>
Stand up nurture sequences, scoring models, routing rules, and lifecycle workflows</p></li><li><p>
Build experimentation frameworks across subject lines, cadence, offers, and segmentation</p></li><li><p>
Enhance SQL and opportunity conversion through targeted follow-up flows</p></li></ul><h3 class="jobSectionHeader"><b><br>
Pipeline Ownership</b></h3><ul><li><p>
Own pipeline generation targets alongside sales</p></li><li><p>
Report weekly on channel-level contribution and efficiency</p></li><li><p>
Reallocate spend dynamically based on performance insights</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h2><h3 class="jobSectionHeader"><b>
Experience</b></h3><ul><li><p>
5-8+ years in B2B SaaS demand gen, growth, or performance marketing</p></li><li><p>
Demonstrated ability to run paid channels hands-on and optimize them analytically</p></li><li><p>
Deep understanding of tracking, attribution, segmentation, and funnel mechanics</p></li><li><p>
Experience designing and evaluating experiments (hypothesis test result next step)</p></li><li><p>
Prior startup or early-stage experience building 0 1 demand programs</p></li></ul><h3 class="jobSectionHeader"><b><br>
Tactical &amp; Analytical Operator</b></h3><ul><li><p>
You love dashboards, spreadsheet modeling, and diagnosing funnel leaks</p></li><li><p>
You think in metrics (CAC, CPL, ROAS, conversion %, velocity)</p></li><li><p>
You get energy from analyzing data, not just creating campaigns</p></li><li><p>
You are fluent in UTMs, attribution models, tagging, and measurement best practices</p></li><li><p>
You use AI to streamline analysis, ideation, audience discovery, and rapid iteration</p></li></ul><h3 class="jobSectionHeader"><b><br>
Cultural Fit</b></h3><ul><li><p>
Owner mentality &mdash; you own outcomes, not tasks</p></li><li><p>
Highly resourceful and self-sufficient</p></li><li><p>
Comfortable moving fast with incomplete information</p></li><li><p>
Clear communicator with strong analytical writing skills</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Get</b></h2><ul><li><p>
Opportunity to build the growth engine at a category-defining AI startup</p></li><li><p>
Direct partnership with founders and sales leadership</p></li><li><p>
High autonomy and broad ownership</p></li></ul><p><br>
Competitive salary and early-stage equity</p></div>

Demand Generation Lead

CodeRabbit

<div></div><div><div><div><div><p>Location</p><div>
Bay Area, CA</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Hybrid</div></div><div><p>
Department</p><div>
Engineering</div></div></div><div><div><p><br>
</p></div><p></p><div><div><div><b>
About CodeRabbit</b></div><p>
CodeRabbit is an innovative research and development company focused on building extraordinarily productive human-machine collaboration systems. Our primary goal is to create the next generation of Gen AI-driven code reviewers: a symbiotic partnership between humans and advanced algorithms that significantly outperforms individual engineers. We combine language models with human ingenuity to push the boundaries of software development efficiency and quality.</p><p></p><p><b>
The Role</b></p><p>
We are seeking an experienced Site Reliability Engineer to join our Platform Engineering team in the Bay Area. You'll be instrumental in ensuring the high availability, performance, and scalability of CodeRabbit's AI-powered code review platform. This role sits at the intersection of software engineering and systems operations, where you'll build the foundational platforms and automation that enable our engineering teams to deploy, monitor, and scale our services reliably.</p><p>
As an SRE at CodeRabbit, you'll be responsible for enhancing the reliability of our critical services that process millions of code reviews, building sophisticated automation platforms, and owning the infrastructure that powers our AI-driven analysis engine. You'll work with cutting-edge technologies including large language models, real-time processing systems, and distributed architectures that operate at significant scale.</p><p></p><p><b>
Key Responsibilities</b></p><p></p><p><b>
Infrastructure &amp; Platform Ownership</b></p><ul><li><div>
Design, implement, and maintain scalable infrastructure on Google Cloud Platform to support CodeRabbit's growing user base and processing demands</div></li><li><div>
Own and operate critical platform services</div></li><li><div>
Build and maintain Infrastructure as Code using Terraform to ensure consistent, reproducible, and version-controlled infrastructure deployments</div></li></ul><p><b>
Reliability &amp; Performance Engineering</b></p><ul><li><div>
Establish and maintain SLI/SLO frameworks for all critical services, ensuring we meet our reliability commitments to users</div></li><li><div>
Implement comprehensive monitoring, alerting, and observability solutions using Datadog and custom instrumentation</div></li><li><div>
Conduct thorough incident response, root cause analysis, and post-mortem processes to continuously improve system reliability</div></li><li><div>
Optimize application and infrastructure performance to handle millions of pull request analyses with minimal latency</div></li><li><div>
Design and implement chaos engineering practices to proactively identify and resolve system weaknesses</div></li></ul><p><b>
Automation &amp; Developer Experience</b></p><ul><li><div>
Develop self-service platforms and tooling that empower engineering teams to deploy, monitor, and troubleshoot their services independently</div></li><li><div>
Automate operational tasks including scaling, backup/recovery, security patching, and routine maintenance</div></li><li><div>
Create and maintain infrastructure APIs and abstractions that simplify complex operations for development teams</div></li></ul><p><b>
Security &amp; Compliance</b></p><ul><li><div>
Integrate security best practices into all infrastructure and platform services</div></li><li><div>
Implement and maintain security monitoring, vulnerability scanning, and compliance reporting</div></li><li><div>
Design secure network architectures including VPC configuration, firewall rules, and access control systems</div></li><li><div>
Establish and maintain disaster recovery procedures and business continuity planning</div></li></ul><p></p><p><b>
Required Qualifications</b></p><p></p><p><b>
Experience &amp; Background</b></p><ul><li><div>
6-8 years of hands-on experience in Site Reliability Engineering, Platform Engineering, or DevOps Engineering roles</div></li><li><div>
Proven track record of managing production systems at scale, preferably in high-growth technology companies</div></li><li><div>
Experience with cloud platforms, particularly AWS or Google Cloud Platform (GCP), including compute, storage, networking, and managed services</div></li><li><div>
Strong background in containerization and orchestration platforms (Kubernetes, Docker)</div></li></ul><p></p><p><b>
Technical Skills</b></p><ul><li><div><b>
Programming Languages</b>: Proficiency in Node.js and TypeScript for building automation tools, monitoring solutions, and platform services</div></li><li><div><b>
Infrastructure as Code</b>: Advanced experience with Terraform for infrastructure provisioning and management</div></li><li><div><b>
Monitoring &amp; Observability</b>: Hands-on experience with Datadog or similar platforms (Prometheus, Grafana, ELK stack) for observability</div></li><li><div><b>
Cloud Platforms</b>: Comprehensive experience with GCP services including Compute Engine, GKE, Cloud Run, Cloud SQL, Cloud Storage, Load Balancing, and IAM</div></li></ul><p></p><p><b>
Systems &amp; Operations</b></p><ul><li><div>
Strong Linux/Unix systems skills</div></li><li><div>
Experience with network protocols, load balancing, and CDN technologies</div></li><li><div>
Knowledge of security principles and best practices for cloud infrastructure</div></li><li><div>
Familiarity with CI/CD tools and practices (Jenkins, GitLab CI, GitHub Actions)</div></li><li><div>
Understanding of microservices architecture and distributed systems principles</div></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><div>
Experience with AI/ML infrastructure and tools</div></li><li><div>
Background in managing high-traffic web applications and API services</div></li><li><div>
Experience with disaster recovery planning and execution</div></li><li><div>
Familiarity with compliance frameworks (SOC 2, ISO 27001)</div></li><li><div>
Contributions to open-source infrastructure or SRE tooling projects</div></li><li><div>
Experience with cost optimization and FinOps practices</div></li><li><div>
Knowledge of performance testing and capacity planning methodologies</div></li></ul><p></p><p><b>
What You'll Bring</b></p><p></p><p><b>
Technical Excellence</b></p><ul><li><div>
Strong problem-solving skills with the ability to debug complex distributed systems issues</div></li><li><div>
Systematic approach to troubleshooting with excellent attention to detail</div></li><li><div>
Passion for automation and eliminating toil through intelligent tooling and processes</div></li><li><div>
Understanding of software engineering principles and ability to write production-quality code</div></li></ul><p><b>
Collaboration &amp; Communication</b></p><ul><li><div>
Excellent communication skills with the ability to work effectively across engineering, product, and business teams</div></li><li><div>
Ability to translate complex technical concepts into business impact and user value</div></li><li><div>
Strong documentation skills and commitment to knowledge sharing</div></li></ul><p><b>
Growth Mindset</b></p><ul><li><div>
Enthusiasm for continuous learning and staying current with emerging technologies</div></li><li><div>
Ability to thrive in a fast-paced, rapidly evolving startup environment</div></li><li><div>
Proactive mindset with the ability to identify and solve problems before they impact users</div></li><li><div>
Commitment to building inclusive, diverse, and collaborative team environments</div></li></ul><p></p><p><b>
Our Values</b></p><ul><li><div>
   <b>Collaborative Humans</b>: Prioritizing collective intelligence</div></li><li><div><b>
   Fearless Innovators</b>: Turning obstacles into growth opportunities</div></li><li><div><b>
   Persistent, Passionate Developers</b>: Thriving on complex, long-term challenges</div></li><li><div><b>
   Impact-Driven Creators</b>: Crafting intuitive tools for developers</div></li><li><div><b>
   Rapid Learners and Un-learners</b>: Adapting quickly in our fast-paced technological world</div></li></ul><p></p><p><b>
What We Offer</b></p><ul><li><div>
Work on cutting-edge technology with real-world impact</div></li><li><div>
Collaborative and innovative environment</div></li><li><div>
Competitive salary, equity, and benefits</div></li><li><div>
Professional development opportunities</div></li></ul></div></div></div></div></div><p></p>

Site Reliability Engineer - Platform

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