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oracle cloud technical architect

University of California - San Francisco

<div><p>Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union.
</p><p>The Oracle Cloud AI Architect is responsible for designing, implementing AI-enabled solutions, analytics, automation, and enterprise applications across Oracle Cloud Human Capital Management (HCM), Supply Chain Management (SCM), Financials (FIN), Procurement, and related systems. This role partners with business stakeholders, operational leaders, and technical teams to design and optimize scalable solutions that improve business operations, decision-making, and user experience across the enterprise.
</p><p>The incumbent applies advanced knowledge of Oracle Cloud architecture, enterprise business processes, data management, and AI-enabled technologies to support intelligent automation, predictive analytics, reporting, workflow optimization, and enterprise data initiatives. Responsibilities include leveraging Oracle Cloud technologies such as OTBI, BI Publisher, Smart View, Fusion Data Intelligence (FDI), Fusion Analytics Warehouse (FAW), Oracle AI services, and related analytics platforms to develop integrated and secure enterprise solutions aligned with organizational goals.
</p><p>This role collaborates closely with Business Systems Analysts, ERP functional teams, developers, integration teams, and leadership to support system enhancements, enterprise integrations, data governance, testing, upgrades, and continuous improvement initiatives. The position also evaluates emerging Oracle Cloud and AI capabilities, promotes self-service analytics and automation, and supports operational excellence through scalable, compliant, and data-driven enterprise solutions.
</p><p>This position includes regular onsite work, typically 1&ndash;3 days per month. The exact schedule and frequency may be adjusted as needed to meet departmental and operational demands<br>
</p><p></p><p><b>Department Overview
</b></p><p>The Business Informatics &amp; Analysis team is responsible for delivering functional expertise, business process analysis, and application support across the enterprise&rsquo;s Oracle Cloud ERP ecosystem. This team partners with business stakeholders, technical, and cross-functional teams to ensure that Oracle ERP modules&mdash;such as Finance, Procurement, Projects, Research, Supply Chain, and Human Capital Management (HCM)&mdash;are effectively configured, optimized, and aligned with organizational objectives.
</p><p>The team provides both strategic and operational support, including requirements gathering, solution design, process improvement, system configuration, testing, reporting, and training. Their work ensures that Oracle Cloud ERP and the boundary systems it integrates with enable accurate, efficient, and scalable business operations.</p></div><p></p>
<br><div><p><b>REQUIRED QUALIFICATIONS
</b></p><ul><li>Bachelor's degree in a related area and/or equivalent experience/training.
</li><li>5+ years of experience in business transformation, value engineering, strategy, or enterprise advisory roles, preferably in healthcare or higher education environments.
</li><li>5+ experienced with Oracle Fusion applications, analytics, or AI platforms
</li><li>3+ years of dimensional and relational data modeling experience
</li><li>2+ years building and delivering LLM/GenAI solutions
</li><li>Ability to understand and model complex knowledge-intensive processes Oracle ERP data structures and business processes (Finance, SCM, Research or HCM)
</li>Familiarity with highly complex data quality and governance issues and requirements.<br>
<li>
</li></ul><p></p><p><b>PREFERRED QUALIFICATIONS
</b></p><ul><li>Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Interpersonal and communications skills to work with both technical and non- technical personnel at various levels in the organization.
</li><li>3+ years of experience in relational database, SQL, or system development life-cycle project; and/or equivalent experience/training.
</li><li>1+ year of experience in an organization comparable to UCSF in terms of budget, size, complexity, scope of operation, and accounting systems
</li><li>Knowledge of supply chain, human capital management, or finance systems and processes within a healthcare or higher education environment
</li><li>Certifications
</li><li>Oracle Certifications
</li><li>Lean Six Sigma Black Belt (LSSBB)
</li><li>Project Management Professional (PMP)
</li><li>Certified Business Analysis Professional (CBAP)</li></ul></div>
<br><div><div><b>About UCSF<br>
</b></div><div></div><br>
<div>The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world&rsquo;s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.<br>
</div><div></div><br>
<div><b>Pride Values<br>
</b></div><div></div><br>
<div>UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence &ndash; also known as our PRIDE values .<br>
</div><div></div><br>
<div>In addition to our PRIDE values, UCSF is committed to equity &ndash; both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here .<br>
</div><div></div><br>
<div>Join us to find a rewarding career contributing to improving healthcare worldwide.<br>
</div><div></div><br>
<div><b>Equal Employment Opportunity<br>
</b></div><div></div><br>
<div><i>The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.<br>
</i></div><div></div><br>
<div><div><b>Salary Information<br>
</b></div><div></div><br>
<div>The final salary and offer components are subject to additional approvals based on UC policy.<br>
</div><div></div><br>
<div>Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.<br>
</div><div></div><br>
<div>To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html</div></div></div><div></div>

Oracle AI Forward Engineer

Cisco

<b>The application window is expected to close on:</b> 09/11/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
<br><br>
Meet the Team
<br>The Platform Engineering organization is responsible for building and operating the foundational cloud-native platforms that power engineering across Cisco Network Platform. Our team owns the Kubernetes ecosystem used by thousands of developers, spanning hundreds of clusters across public and on-premise environments.. We provide the infrastructure, automation, observability, security, and self-service capabilities that enable product teams to build and operate services reliably at scale.
<br>We are a highly collaborative team of SREs, who enjoy solving complex distributed systems challenges. Our culture emphasizes ownership, operational excellence, automation, and continuous improvement. This is an opportunity to shape the future of Kubernetes and platform engineering within Cisco Network Platform while influencing the experience of engineers across the company.
<br>Your Impact
<br>Architect and drive the evolution of Kubernetes platform strategy across cloud and on-premises environments supporting mission-critical workloads at scale.
<br>Lead the design and implementation of platform capabilities that improve reliability, security, scalability, and developer productivity for hundreds of engineering teams.
<br>Partner with engineering, security, and product leaders to define multi-year platform roadmaps and drive execution of company-critical initiatives.
<br>Provide technical leadership during major incidents, architecture reviews, platform transformations, and strategic infrastructure investments.
<br>Mentor senior engineers and help raise the engineering bar through technical leadership, design reviews, operational excellence, and architectural guidance.
<br><br>
Minimum Qualifications
<br><br>
<ul>
<li>15+ years of experience designing, building, and operating large-scale distributed systems in production environments.</li>
<li>7+ years of hands-on experience operating Kubernetes platforms in production, including multi-cluster environments.</li>
<li>Experience architecting and operating cloud-native infrastructure across AWS, Azure, GCP, or hybrid cloud environments.</li>
<li>Experience designing, operating, and troubleshooting networking architectures for large-scale Kubernetes platforms, including CNI implementations, ingress and egress traffic management, service-to-service communication, multi-cluster connectivity, and network observability.</li>
<li>Experience with Infrastructure-as-Code and GitOps technologies, including Terraform and ArgoCD or equivalent platforms.</li>
<li>Strong communication and leadership skills with the ability to effectively influence engineers, architects, senior leaders, and executive stakeholders.</li>
<li>Proven track record leading cross-organizational platform initiatives and influencing technical strategy across multiple engineering teams.</li>
<li>Experience implementing SRE practices, including SLOs, incident management, production readiness reviews, and operational excellence programs.</li>
<li>Strong software engineering experience with Go, Python, or similar programming languages used for automation and platform development.</li>
</ul>
Preferred Qualifications
<br><br>
<ul>
<li>Experience with migrating monolithic applications to a microservices architecture.</li>
<li>Knowledge of networking (i.e. switching, routing, wifi, IoT).</li>
</ul>
Why Cisco?
<br><br>
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
<br>Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
<br>We are Cisco, and our power starts with you.
<br><br>
Message to applicants applying to work in the U.S. and/or Canada:
<br><br>
The starting salary range posted for this position is $231,400.00 to $331,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
<br>Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
<br><br>
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
<br><br>
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
<br><br>
<ul>
<li>10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees</li>
<li>1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco</li>
<li>Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees</li>
<li>Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)</li>
<li>80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next</li>
<li>Additional paid time away may be requested to deal with critical or emergency issues for family members</li>
<li>Optional 10 paid days per full calendar year to volunteer</li>
</ul>
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
<br><br>
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
<br><br>
<ul>
<li>.75% of incentive target for each 1% of revenue attainment up to 50% of quota;</li>
<li>1.5% of incentive target for each 1% of attainment between 50% and 75%;</li>
<li>1% of incentive target for each 1% of attainment between 75% and 100%; and</li>
<li>Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.</li>
</ul>
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
<br><br>
The applicable full salary ranges for this position, by specific state, are listed below:
<br><br>
<b>New York City Metro Area:</b><br>
$231,400.00 - $381,600.00
<br><br>
<b>Non-Metro New York state& Washington state:</b><br>
$222,900.00 - $343,600.00
<br><ul>
<li>For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.</li>
</ul>
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Principal Engineer - Platform Engineering

Genius AI

<div>
 <p>
  <strong>
   About Genius AI
  </strong>
 </p>
 <p>
  Genius AI is building technology to help local businesses run themselves. Genius AI products do the admin work that keeps practitioners from the work they love and the people they serve. From GlossGenius to Reception, its products work 24/7 on busywork like booking, marketing, client management, finances, staff and inventory management, and more.
 </p>
 <p>
  Genius AI technology has saved businesses 106M in admin hours, earned them $2.0B in additional revenue, and facilitated more than 624M client touch points.
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  Genius AI is building an agentic workforce: AI systems that act on behalf of appointment-based business owners, not just assist them. The engineers who join now will be the ones who architect it. We're hiring across two paths: product engineers who work at the intersection of AI capabilities and customer problems, shipping the features that put agentic tools directly in front of the businesses we serve; and platform engineers who build the scalable, reliable infrastructure that makes those AI products possible in the first place. Whichever path you're on, the expectation is the same: you build with AI as the default layer underneath how you work, not a tool you reach for occasionally.
 </p>
 <p>
  You must be commutable to our SF office and will operate in a hybrid environment. We default to being in-office 3&ndash;4 days per week with required attendance on Tuesdays and Thursdays.
 </p>
 <p>
  <strong>
   What We Work With
  </strong>
 </p>
 <p>
  We're open to engineers with different language backgrounds who are excited to grow. Our current stack:
 </p>
 <ul>
  <li>
   Kotlin (Micronaut, jOOQ), gRPC, protobuf
  </li>
  <li>
   TypeScript / JavaScript (React, Redux)
  </li>
  <li>
   React Native
  </li>
  <li>
   AWS, Kubernetes, Postgres, Terraform
  </li>
  <li>
   Linear
  </li>
 </ul>
 <p>
  <strong>
   What You'll Do
  </strong>
 </p>
 <ul>
  <li>
   Architect and ship AI-powered features that change how service businesses operate: not wrappers around existing tools, but net-new capabilities that weren't possible before
  </li>
  <li>
   Build and maintain large-scale systems that process billions in payments and serve 120,000+ businesses, with reliability and performance as non-negotiables
  </li>
  <li>
   Use AI to architect, debug, write, and review code, and hold a higher bar for your own output because of it
  </li>
  <li>
   Own your work end to end: from technical design through production, with full accountability for what you ship and how it performs
  </li>
  <li>
   Build the platform infrastructure that lets product teams move faster: scalable, extensible systems that remove friction rather than create it
  </li>
  <li>
   Challenge how we build: when you see a faster path or a better architecture, you're expected to make the case and drive it
  </li>
 </ul>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <ul>
  <li>
   2+ years of professional software engineering experience, with demonstrated ownership of production systems, not just contributions to a team that owned them
  </li>
  <li>
   You use AI to architect, debug, write, and review code, and you've shipped AI-powered features or systems, not just used AI-assisted editors
  </li>
  <li>
   Move fast and make decisions: you don't wait for a fully scoped ticket to start thinking, you'd rather ship something real and iterate than spend weeks perfecting a plan
  </li>
  <li>
   Strong analytical instincts for efficiency, scalability, and system reliability, you think about what breaks at scale before it breaks in production
  </li>
  <li>
   Entrepreneurial ownership mindset, you treat the problems you're assigned as yours to solve, not tasks to complete
  </li>
  <li>
   Collaborative by default, you make the engineers around you better, not just the code you personally write
  </li>
 </ul>
 <p>
  <strong>
   Benefits &amp; Perks
  </strong>
 </p>
 <ul>
  <li>
   Competitive health &amp; dental insurance options, effective on your first day of employment
  </li>
  <li>
   Flexible PTO
  </li>
  <li>
   In-office lunch twice per week for NYC and SF employees, plus late night dinner stipends
  </li>
  <li>
   Access to Wellhub, a corporate wellness platform with discounted gym memberships, fitness classes, and mental health resources
  </li>
  <li>
   Annual stipend for professional development and continued learning
  </li>
  <li>
   High performers at 5 years receive a generous stipend to use however you recharge best
  </li>
  <li>
   401k benefit: employees are eligible to contribute starting day 1 of employment
  </li>
  <li>
   Dependent Care FSA
  </li>
  <li>
   Paid parental leave
  </li>
  <li>
   Fertility and adoption benefits via Carrot and Kindbody
  </li>
 </ul>
 <p>
  <em>
   The starting base salary for this role in San Francisco is between $150,000-$230,000+ target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in Genius AI's equity plan as well as a range of health &amp; wellbeing, retirement savings, and other benefits within our total rewards offering.
  </em>
 </p>
 <p>
  <em>
   At Genius AI, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. Genius AI is proud to be an Equal Opportunity and Affirmative Action Employer.
  </em>
 </p>
</div>


Software Engineer - All Levels

David Joseph & Company

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $120,000&ndash;$300,000 + Competitive Equity</p><h2 class="jobSectionHeader"><b>
About the Company</b></h2><p>
An early-stage, venture-backed FinTech building AI compliance analysts that automate AML, KYC, KYB, and transaction monitoring end-to-end for banks and fintechs. The product operates inside browsers, APIs, and internal systems the way a human analyst would, and is already live with financial institutions across multiple regions.</p><p>
Founded 2024 &middot; Seed stage &middot; Small team &middot; Industry: FinTech</p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
A backend-leaning Member of Technical Staff building the end-to-end systems that power production AI compliance workflows &mdash; high-performance infrastructure, reliability, and backend architecture supporting mission-critical automation.</p><p><b>
What you'll be doing</b></p><ul><li>
Architect agent behaviors and build the backend systems behind production AI compliance workflows</li><li>
Build browser agents that navigate legacy systems, portals, and third-party platforms, interpreting unstructured data</li><li>
Process risk signals at the speed money moves &mdash; millions of transactions, sub-second decisions &mdash; via distributed inference, caching, queue orchestration, and self-healing data pipelines on AWS</li><li>
Contribute to an in-house deep-research pipeline that keeps LLMs from conflating similar entities</li><li>
Optimize ML pipelines and ship product features, owning problems vertically</li></ul><p><b>
Tech stack:</b> Python, AWS; browser automation, computer vision, LLM systems.</p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li>
Experience with backend development and/or ML, especially in Python and AWS</li><li>
Hands-on experience deploying software to production environments</li><li>
Strong communication skills and willingness to interact with clients</li></ul><h2 class="jobSectionHeader"><b>
Green Flags</b></h2><ul><li>
Experience with browser automation and computer vision</li><li>
Background with distributed inference and optimization on AWS</li><li>
Familiarity with LLM systems and deep research pipelines</li><li>
Experience building systems that process millions of transactions at scale</li><li>
Knowledge of compliance, AML, KYC, or financial crime domains</li><li>
Competitive coding background</li><li>
Contributions to open-source projects or personal projects on GitHub</li><li>
Prior experience as a founder or at an early-stage startup</li></ul><h2 class="jobSectionHeader"><b>
Red Flags</b></h2><ul><li>
Candidates from a pure data science background who lack strong technical skills</li><li>
Lack of hands-on experience deploying software to production</li><li>
Primarily academic or research experience without practical engineering work</li></ul><h2 class="jobSectionHeader"><b>
Why Join</b></h2><ul><li>
Build frontier AI agents in production, solving hard problems with no off-the-shelf answers</li><li>
Large, underserved market with real customer traction and measurable impact</li><li>
Small team with wide surface area &mdash; own features end-to-end across backend, ML, and product</li></ul><h2 class="jobSectionHeader"><b>
Details</b></h2><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site</li><li><b>
Compensation:</b> $120,000&ndash;$300,000 + equity</li><li><b>
Visa sponsorship:</b> H-1B, O-1, OPT</li><li><b>
Experience:</b> 1+ years</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Member of Technical Staff

Writer

<div><h3 class="jobSectionHeader"><b>About WRITER</b></h3><p>
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible &ndash; through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.</p><p>
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.</p><div><br>
</div><h3 class="jobSectionHeader"><b>
About the role</b></h3><p>
As a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.</p><p>
This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.</p><p>
This is a hybrid role based out of our San Francisco, Chicago, Austin, New York City, Seattle, and London hubs.</p><div><br>
</div><h3 class="jobSectionHeader"><b>
What you'll do</b></h3><ul><li><p>
Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions</p></li><li><p>
Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges</p></li><li><p>
Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape</p></li><li><p>
Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation</p></li><li><p>
Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations</p></li><li><p>
Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment</p></li></ul><div><br>
</div><h3 class="jobSectionHeader"><b>
️ What you need</b></h3><ul><li><p>
Over 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management</p></li><li><p>
Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications</p></li><li><p>
Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environment</p></li><li><p>
Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadership</p></li><li><p>
A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI</p></li><li><p>
A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts</p></li></ul><p><b><br>
Benefits &amp; perks (US Full-time employees)</b></p><ul><li><p>
Generous PTO, plus company holidays</p></li><li><p>
Medical, dental, and vision coverage for you and your family</p></li><li><p>
Paid parental leave for all parents (16 weeks)</p></li><li><p>
Fertility and family planning support</p></li><li><p>
Early-detection cancer testing through Galleri</p></li><li><p>
Flexible spending account and dependent FSA options</p></li><li><p>
Health savings account for eligible plans with company contribution</p></li><li><p>
Annual work-life stipends for:</p><ul><li><p>
Wellness stipend for gym, massage/chiropractor, personal training, etc.</p></li><li><p>
Learning and development stipend</p></li></ul></li><li><p>
Company-wide off-sites and team off-sites</p></li><li><p>
Competitive compensation, company stock options and 401k</p></li></ul><p><i>
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</i></p><p>
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.</p><p>
Compensation Range: $131.8K - $185K</p></div>

AI deployment engineer (West)

Handshake

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco, CA</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>On-site</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>Marketing</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>$196K &ndash; $245K &bull; Offers Equity</li>
</ul><div><p><i>For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.</i></p></div></div></div>
<br><div><div><h1 class="jobSectionHeader"><b>About Handshake</b></h1>
<p>Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.</p>
<p>In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We&rsquo;ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.</p>
<p><b>Why join Handshake now:</b></p>
<ul><li><p>Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</p>
</li><li><p>Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</p>
</li><li><p>Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders</p>
</li><li><p>Build a massive, fast-growing business with billions in revenue</p>
</li></ul><p><b>About Handshake AI</b></p>
<p>Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.</p><br>
<div></div><h1 class="jobSectionHeader"><b>The Role</b></h1>
<p>Handshake built the eval and human-data infrastructure that frontier AI labs rely on to make their models better. We're now pointing that same infrastructure at the enterprise &mdash; helping Fortune 500 companies in banking, insurance, retail, and legal build the eval and improvement loops their AI agents need to work safely in production. This is the founding marketing role for that business &mdash; and at its core, a product marketing role: positioning, technical narrative, and sales partnership come first, with reporting into a team built by former Palantir go-to-market leadership and direct visibility to company leadership. If this line of business becomes what we expect it to, this founding role grows into a team you build and lead.</p>
<ul><li><p>Own positioning and messaging end-to-end &mdash; define the ICP, build the competitive narrative, and stand up the messaging architecture everything else runs on</p>
</li><li><p>Translate technical proof points (evals, RL environments, model behavior) into content that credibly reaches technical buyers: POVs, case studies, executive bylines, sales narrative</p>
</li><li><p>Build sales enablement from scratch &mdash; pitch decks, battlecards, objection handling &mdash; for a sales team currently working without a CRM or existing collateral</p>
</li><li><p>Partner on the front line with sales and a deployment strategist/solutions architect &mdash; joining demos and discovery calls to close knowledge gaps in real time as the team ramps</p>
</li><li><p>Shape account-based, vertical-specific motions (banking, insurance, retail, legal) in partnership with field and growth marketing, who will already be staffed and running events by fall</p>
</li><li><p>Stand up a minimum-viable digital presence (microsite/landing pages) with support from web dev</p>
</li><li><p>Use AI tooling aggressively to operate above your weight class &mdash; this function doesn't have the headcount yet for a traditional team structure</p>
</li></ul><h2 class="jobSectionHeader"><b>You Have</b></h2>
<ul><li><p>7+ years in B2B marketing with a strong product marketing foundation &mdash; this is a PMM-first role, not a generalist growth or demand gen seat</p>
</li><li><p>Experience partnering with enterprise sales in a high-ACV, complex technical sales motion &mdash; comfortable joining live demos and discovery calls, not just producing materials from a distance</p>
</li><li><p>Gone zero-to-one before: launched a product, built a function, or served as a founding/solo marketer at an early-stage company</p>
</li><li><p>Sold complex technical solutions into traditional, non-tech Fortune 500 enterprises (banking, insurance, retail) rather than exclusively tech buyers</p>
</li><li><p>Strong writer and storyteller who gets fluent in genuinely technical material fast</p>
</li><li><p>Operates independently with real agency in ambiguous, fast-moving environments &mdash; this team is early and self-directed, without a lot of hand-holding infrastructure yet</p>
</li></ul><p><b>Bonus points:</b></p>
<ul><li><p>Came up at a large, structured company (Salesforce, Google, etc.) before making the jump to a founding marketing role at an AI or technical B2B startup</p>
</li><li><p>Fluent in AI tooling as a way of multiplying personal output across content, research, and competitive intel, rather than just a topic you market</p>
</li></ul><h2 class="jobSectionHeader"><b>We Offer</b></h2>
<p>Handshake delivers benefits that help you feel supported &mdash; and thrive at work and in life.</p>
<p><i>The below benefits are for full-time US employees.</i></p>
<p><b>Ownership:</b> Equity in a fast-growing company</p>
<p><b>Financial Wellness:</b> 401(k) match, competitive compensation, financial coaching</p>
<p><b>Family Support:</b> Paid parental leave, fertility benefits, parental coaching</p>
<p><b>Wellbeing:</b> Medical, dental, and vision, mental health support, $500 wellness stipend</p>
<p><b>Growth:</b> $2,000 learning stipend, ongoing development</p>
<p><b>Remote &amp; Office:</b> Internet, commuting, and free lunch/gym in our SF office</p>
<p><b>Time Off:</b> Flexible PTO, 15 holidays + 2 flex days</p>
<p><b>Connection:</b> Team outings &amp; referral bonuses</p>
<p>Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.</p>
Compensation Range: $196K - $245K</div></div><p></p>

Director of Marketing, Enterprise AI

Arcade Food Theatre

<div><p>Everyone's building AI agents, but almost nobody gets them to production.</p><p></p><p>
Building an impressive demo is easy. Building an AI agent that can securely take action inside enterprise systems is hard. The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge.</p><p></p><p>
Arcade is the MCP runtime that gives agents the power to do both seamlessly. We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did. That's what makes AI safe to turn loose: real actions, on real systems, already shipping inside Fortune 100 companies.</p><p></p><p><b>
The Revolution Needs You</b></p><p>
Every AI app needs agentic &quot;tools&quot; - special functions that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the definitive tools catalog and tool-calling platform that will unlock AI's true potential. Think Zapier for AI Actions. Think Auth0 for AI. Think really big.</p><p></p><p><b>
Why This Is The Opportunity of a Lifetime</b></p><ul><li><p><b>
Traction: </b>Real deployments with Fortune-100 customers like Morgan Stanley and Open Table</p></li><li><p><b>
Founder-Market Fit: </b>Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone.</p></li><li><p><b>
Dream Team: </b>We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.</p></li><li><p><b>
Perfect Timing</b>: Every enterprise is racing to put agents in production - almost none get there. The problem isn't better models, it's proving which agent can take which action, on behalf of which user, against which system. That's us.</p></li><li><p><b>
Massive Market :</b> We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building.</p></li><li><p><b>
Backed By The Best</b>: Our Series A round is led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro. Our earlier investors have also backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge.</p></li></ul><p></p><p><b>
The Challenge</b></p><p>
The number of deployed Arcade customers is growing rapidly, and after a deployment goes live, someone needs to own everything that happens next. Right now that's ad hoc. We need a leader to build our support function from zero - on a product that looks nothing like typical SaaS. To help a customer succeed, you&rsquo;ll need to understand MCP, OAuth, SSO, tool-calling, and cloud infrastructure. Nobody has been debugging agent authorization at enterprise scale long enough to write the playbook for it. That bar is why Arcade is becoming core infrastructure inside Fortune-100 companies, and it's why this role matters more here than it would anywhere else.</p><p></p><p>
You'll be our first support hire and own the team&rsquo;s growth and processes. For the first several months you'll be doing the L2 support work yourself while you grow the team and build the function. That&rsquo;s how you&rsquo;ll earn the pattern recognition that makes everything you design afterward correct instead of theoretical. This will include not only helping customers, but also improving our docs, configuring agentic support &amp; automations, setting SLAs, and defining escalation paths that let the team scale sub-linearly as customers grow. Do it right and support becomes a product in its own right - fast, technical, and a direct input into what we build next. You&rsquo;ll be reporting to the Head of Product because you'll have some of the strongest signals about what we should build next and we want you sitting right inside the conversation.</p><p></p><p><b>
What You'll Do</b></p><ul><li><p><b>
Build the support function from scratch</b>: stand up L0 (docs), L1 (AI &amp; automations), and define the routing, SLAs, and escalation paths up to FDE (L3) and Engineering (L4).</p></li><li><p>
Own <b>L2 support</b>: be the human escalation point for real technical issues - Okta/SSO not working, tools not getting called correctly by the LLM, gateway and user-source configuration, auth edge cases.</p></li><li><p><b>
Grow and lead the team</b>. Use your experience to scale a world-class support org that customers rave about and sets the technical bar for what a support organization looks like.</p></li><li><p><b>
Automate aggressively</b> so support does not need to scale with customer count. An AI-first approach is central to how you'll work.</p></li><li><p><b>
Partner with FDE</b>: take over as primary customer contact after first deployment so FDE can move to the next customer; over time, absorb &quot;standard&quot; onboarding and cluster setup - especially for marketplace (AWS/Azure) deployments to make that experience seamless.</p></li><li><p><b>
Close the loop with Product and Engineering</b>: turn recurring tickets and friction into prioritization signal and product fixes.</p></li></ul><p></p><p><b>
Required Skills</b></p><ul><li><p>
You've <b>built or led a support team</b> for a technical, B2B product.</p></li><li><p><b>
Strong technical fluency in infrastructure and auth</b> - OAuth, SSO/SAML, APIs and tool-calling, cloud deployment concepts. You can debug alongside a customer, not just triage.</p></li><li><p>
A <b>player-coach</b> mindset: energized by doing hands-on support with customers <i>and</i> building the process behind it.</p></li><li><p>
Track record designing <b>SLAs, ticket routing, and escalation</b> in a way that balances customer empathy with business reality.</p></li><li><p>
Background in <b>developer, infrastructure, or auth products</b>, and the MCP/AI-agents ecosystem.</p></li><li><p><b>
AI-pilled</b>: you reach for AI and automation to move fast and keep the customer experience quick.</p></li></ul><p><b>
Bonus Points</b></p><ul><li><p>
Experience supporting <b>self-hosted enterprise</b> customers.</p></li><li><p>
Hands-on with modern support tooling like <b>Pylon</b>.</p></li><li><p>
Experience with <b>cloud marketplace deployments</b> (AWS/Azure).</p></li><li><p><b>
San Francisco based</b> (or open to relocating).</p></li></ul><p></p><p><b>
Join The Movement</b></p><p>
We're not just building a product - we're leading a movement to transform AI from just chatbots to agents that can take actions against real systems. This is your chance to be at the forefront of that revolution.</p><p>
If you want to look back in 5 years and say, &quot;I helped build that&quot;, then we want to talk to you. Ready to make AI actually useful? Apply now!</p><p>
Compensation Range: $205K - $250K</p></div>

Head of Support Engineering

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