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airline customer service agent

<div>Overview:
<div>
Pacific Aviation is hiring <b>bilingual Airline Customer Service Agents</b> at <b>San Francisco International Airport (SFO)</b> to support international airline operations in a part-time role. If you&rsquo;re fluent in <b>English and Mandarin or Cantonese</b>, and you enjoy helping others in fast-paced environments, this could be your runway to an exciting aviation career.</div><div>
For over 25 years, Pacific Aviation has partnered with the world&rsquo;s finest airlines to deliver exceptional service. Our team thrives on collaboration, professionalism, and shared success&mdash;and we&rsquo;re excited to welcome new teammates who share these values.</div><div></div><div><b><br>
Click Here to Apply!!</b></div>
Responsibilities:
<ul><li>Assist passengers during check-in, boarding, and arrivals</li><li>
Verify travel documents and process boarding passes accurately</li><li>
Answer questions and offer directions in both English and Mandarin or Cantonese</li><li>
Communicate clearly and respectfully with travelers and airline personnel</li><li>
Support the overall flow of passenger operations within the terminal</li><li>
Deliver consistent, courteous service under pressure in a dynamic airport setting</li><li>
Collaborate with team members and supervisors to maintain high service standards</li><li>
Uphold airline policies and ensure a secure environment for passengers and staff</li></ul>
Qualifications:
<ul><li>Fluent in <b>English and Mandarin or Cantonese</b> (required)</li><li>
Strong communication and customer service skills</li><li>
Computer literacy and accurate data entry</li><li>
Calm, solution-oriented mindset in high-pressure situations</li><li>
Physical stamina to stand and walk for extended periods</li><li>
Willingness to attend <b>5 days of required computer training</b></li><li>
Authorized to work in the United States</li><li>
Must pass a background check and drug screening</li></ul><div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b><br>
Benefits</b></h2><div><ul><li><b>
Hourly Rate:</b> $23.15 per hour</li><li><b>
Fully Paid Medical, Dental, and Vision Insurance</b> &ndash; for you and your dependents</li><li><b>
401(k)</b> with company match</li><li><b>
Paid Time Off</b></li><li><b>
Paid Training</b></li><li><b>
Uniform Provided</b></li><li><b>
Discounted BART Clipper card or employee parking permit</b></li><li><b>
Referral Bonus</b></li><li><b>
Cell Phone Plan Reimbursement</b></li></ul></div></div></div></div></div></div></div><div></div>

Airline Customer Service Agent

Intercom

<div><div><p>Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.</p>
<p>
Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.</p>
<p>
Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.</p></div><div><h2 class="jobSectionHeader"><b>
What's the opportunity?</b></h2>
<p>
Intercom is building a<b> GTM Data Products </b>team to embed machine learning and AI directly into our Sales and Marketing workflows.</p>
<p>
We are hiring a Senior GTM Data Scientist to design and deploy predictive systems that materially improve:</p>
<ul>
<li>Customer acquisition (e.g. via lead scoring, attribution)</li>
<li>Sales efficiency (e.g. via book carves, sales quotas)</li>
<li>Customer retention and expansion (e.g. via revenue prediction)</li>
</ul>
<p>This is not a reporting role.</p>
<p>
This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.</p>
<p>
You&rsquo;ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.</p>
<p>
If you are excited about building applied machine learning systems that generate measurable revenue impact, this role is for you.</p>
<h2 class="jobSectionHeader"><b>
What will I be doing?</b></h2>
<div><ul><li><b>Build Revenue-Impacting ML Systems</b></li></ul>
</div><ul><li>Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)</li>
<li>Productionize models into operational systems (Salesforce, Marketo, outbound workflows)</li>
<li>Monitor model performance and iterate for measurable business lift</li>
<li>Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)</li>
<li>Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)</li>
</ul>
<p>You don&rsquo;t just build models - you ensure they change behavior.</p>
<div>
<ul><li><b>Own End-to-End Data Products</b></li></ul>
</div><ul><li>Translate ambiguous business problems into clear, measurable objectives</li>
<li>Define GTM data products vision, success metrics, and roadmap</li>
<li>Ensure integration into existing workflows and systems</li>
<li>Lead stakeholder alignment and change management</li>
<li>Secure buy-in from system owners before replacing or enhancing existing solutions</li>
</ul>
<p>You operate as a mini GM for your data products.</p>
<p>
 3<b>. Architect Scalable Data Foundations</b></p>
<ul>
<li>Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure</li>
<li>Ensure data quality, governance, and reproducibility</li>
<li>Elevate the team&rsquo;s standards for experimentation, documentation, and knowledge sharing</li>
<li>Push adoption of new tools and AI capabilities where appropriate</li>
</ul>
<p>You raise the technical bar for the GTM organization.</p>
<h2 class="jobSectionHeader"><b>
What impact might I have?</b></h2>
<p>
Within 6-12 months, you might:</p>
<ul>
<li>Launch predictive models that materially improve conversion, expansion, or retention</li>
<li>Reduce inefficiencies in Sales workflows through automation</li>
<li>Help leadership make investment decisions backed by rigorous data science</li>
<li>Influence GTM strategy through quantitative insight and modeling</li>
</ul>
<p>Success is measured in business outcomes - not dashboards built.</p>
<h2 class="jobSectionHeader"><b>
What we&rsquo;re looking for</b></h2>
<p><b>
Experience</b></p>
<ul>
<li>5+ years in Data Science, Applied ML, or Advanced Analytics</li>
<li>Experience building predictive models deployed into production environments</li>
<li>Experience working with Sales, Marketing, or GTM teams in a B2B SaaS environment preferred</li>
<li>Proven track record influencing senior stakeholders through data</li>
</ul>
<p><b>Technical Skills</b></p>
<ul>
<li>Expert-level SQL</li>
<li>Advanced Python or R for modeling and experimentation</li>
<li>Strong foundation in statistics and experimental design</li>
<li>Experience with:</li>
<li><ul><li>Predictive modeling</li>
<li>Feature engineering</li>
<li>Model evaluation &amp; validation</li>
<li>Causal inference or uplift modeling (strong plus)</li>
<li>Model deployment &amp; monitoring (strong plus)</li>
</ul></li>
</ul><p><b>Mindset &amp; Leadership</b></p>
<p>
You are:</p>
<ul>
<li>A trusted advisor who influences strategy, not just execution</li>
<li>Deeply curious about the &ldquo;why&rdquo; behind business metrics</li>
<li>Comfortable operating with autonomy in ambiguous environments</li>
<li>AI-first: you look for opportunities to automate, optimize, and scale</li>
<li>Clear and compelling in communication - you turn complex models into strategic decisions</li>
<li>Impact-oriented: you prioritize work that moves revenue</li>
</ul><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<p>
We are a well-treated bunch with awesome benefits! If there&rsquo;s something important to you that&rsquo;s not on this list, talk to us! :)</p>
<ul>
<li>Competitive salary and meaningful equity</li>
<li>Comprehensive medical, dental, and vision coverage</li>
<li>Regular compensation reviews - great work is rewarded!</li>
<li>Flexible paid time off policy</li>
<li>Paid Parental Leave Program</li>
<li>401k plan &amp; match</li>
<li>In-office bicycle storage</li>
<li>Fun events for Intercomrades, friends, and family!</li>
</ul>
<ul><li>Proof of eligibility to work in the United States is required</li></ul>
<p>
The base salary range for candidates within the San Francisco Bay Area is $197,600 - $246,713. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
</p><p>#LI-Hybrid</p></div><div><p><b>
Policies</b></p>
<p>
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.</p>
<p>
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
</p><p>Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</p></div></div>

Senior GTM Data Scientist New

Giga

<div>
 <strong>
  About Giga
  <br/>
  <br/>
 </strong>
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 <br/>
 <br/>
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 <br/>
 <br/>
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 <br/>
 <br/>
 <ul>
  <li>
   Voice AI startup Giga raises $61M Series A
  </li>
  <li>
   DoorDash and Giga Partnership
   <br/>
   <br/>
  </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for new grad engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers.
 <br/>
 <br/>
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 <br/>
 <br/>
 <strong>
  What You'll Work On
  <br/>
  <br/>
 </strong>
 You'll contribute to projects across our stack. Some examples:
 <br/>
 <br/>
 <ul>
  <li>
   Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
  </li>
  <li>
   Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
  </li>
  <li>
   Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
  </li>
  <li>
   Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
   <br/>
   <br/>
  </li>
 </ul>
 You'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 <br/>
 <br/>
 <strong>
  You Might Be a Fit If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Are graduating (or recently graduated) with a CS degree or equivalent background
  </li>
  <li>
   Have internship experience or significant projects where you wrote production-quality code
  </li>
  <li>
   Can take a problem, figure out an approach, and unblock yourself when you get stuck
  </li>
  <li>
   Prefer shipping over perfection but still care about quality
  </li>
  <li>
   Want to work at a startup where you'll have real responsibility early
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks &amp; Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Catered lunch daily
  </li>
  <li>
   Dinner stipend
  </li>
  <li>
   $150/month wellness benefit (gym, fitness classes, mental health)
  </li>
  <li>
   401(k) plan
  </li>
  <li>
   Commuter benefits
  </li>
  <li>
   Medical, dental, and vision coverage
   <br/>
   <br/>
  </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 <br/>
 <br/>
 Compensation Range: $160K - $250K
 <br/>
 <br/>
</div>


Software Engineer (New Grads) - San Francisco

Plaud

<div><p><b>About Plaud Inc.</b></p><p>
Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.</p><p></p><p><br>
Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human&ndash;AI intelligence through a hardware&ndash;software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.</p><p></p><p><br>
To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube</p><p></p><p><b><br>
Why You Should Join Us</b></p><p>
Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.</p><ul><li><p>
Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.</p></li><li><p>
Define the next-gen paradigm for human-AI interaction.</p></li><li><p>
Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.</p></li><li><p>
Work with passionate teammates who value innovation, collaboration, and customer success.</p></li><li><p>
Grow your career in a culture that champions continuous learning and fast career development.</p></li><li><p>
Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.</p></li></ul><p></p><p><b>
What you will do</b></p><ul><li><p><i>
Architect the Plaud Agent Tooling Ecosystem: Lead the end-to-end strategic planning and execution of the Plaud Intelligence Agent's skill ecosystem. You will hold full ownership of the ecosystem's lifecycle&mdash;driving tool quantity, execution quality, and user penetration rates&mdash;transforming it from a 0-to-1 concept into a scalable, high-utility production platform.</i></p></li><li><p><i>
Define &quot;Ground Truth&quot; for User Scenarios: Transform complex product scenarios into quantifiable, high-bar evaluation metrics. You will drive the collaboration across Product, Evaluation, and Engineering teams to operationalize these standards, ensuring that abstract user needs are translated into deterministic business outcomes.</i></p></li><li><p><i>
Push Prompt Performance to SOTA Standards: Spearhead the advanced iteration of tool-related prompt strategies and context engineering infrastructure. Your mandate is to fine-tune the AI&rsquo;s interaction logic and reasoning capabilities, ensuring the final output consistently benchmarks against Industry State-of-the-Art (SOTA) levels.</i></p></li></ul><p></p><p><b><br>
Skills, qualifications and experience we look for</b></p><ul><li><p><i>
Technical PM &amp; Agent Experience: Proven experience in LLM Agent architectures and API Platform products is required. You must be proficient in defining JSON Schemas and OpenAPI specifications, with the specific capability to transform abstract business logic into standardized, executable AI tools.</i></p></li><li><p><i>
Data-Driven Evaluation Capabilities: Requires a strong ability to define &quot;Ground Truth&quot; and build quantifiable evaluation frameworks. Experience in creating &quot;Golden Datasets&quot; and analyzing production logs is essential to debug model hallucinations and ensure production-grade reliability.</i></p></li><li><p><i>
Advanced Prompt Engineering &amp; English Proficiency: Professional English proficiency is mandatory to ensure semantic precision in high-level prompt engineering. Requires deep expertise in independently iterating context management strategies and tool descriptions to drive model outputs to SOTA levels.</i></p></li></ul><p></p><p><b>
What we offer
</b></p><ul><li><p><b>Meaningful Ownership</b> An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud&rsquo;s long-term success.</p></li><li><p><b>
High-Impact Environment</b> Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.</p></li><li><p><b>
Comprehensive Health &amp; Retirement Benefits</b> Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees.</p></li><li><p><b>
Time Off &amp; Workplace Benefits</b> Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment.</p></li><li><p><b>
Cutting-Edge AI Tools for Productivity</b> Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.</p></li><li><p><b>
Best-in-Class Equipment</b> Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.</p></li><li><p><b>
Team &amp; Culture</b> Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.</p></li></ul></div>

Agent Product Manager, Agent Tools - San Francisco

First Legal

<div><p><b>Position Summary:</b></p><div>
We are seeking an experienced AI Engineer with strong expertise in enterprise Java engineering, Salesforce platform development, and cloud-native AI/ML systems. The ideal candidate brings hands-on AI development &mdash; including Prompt Engineering<b>, </b>Retrieval-Augmented Generation (RAG)<b>, </b>Embeddings, and LLM-based agent bots. The ideal candidate will have hands-on experience building AI-powered bots and automation solutions within Salesforce / AWS environments, including Agentic AI capabilities. This role requires designing, developing, and deploying scalable AI-driven solutions aligned with business objectives, while collaborating closely with cross-functional teams.</div><div><b>
Essential Duties &amp; Responsibilities:</b></div><ul><li>
Work closely with IT and business stakeholders to define scope, refine business and technical requirements, and translate them into technical designs, specifications, and user stories.</li><li>
Design, develop, unit test, and deploy custom Apex Solutions including triggers, batch jobs, REST API Services.</li><li>
Develop and maintain Lightning Components using Aura, LWC, Lightning App Builder.</li><li>
Build and support Salesforce Experience Cloud (Customer/Partner) Portals solutions.</li><li>
Develop and maintain integrations with REST/SOAP APIs, MuleSoft and Platform Events.</li><li>
Design and optimize Flows (Screen, Record-Triggered, Subflows, Orchestration).</li><li>
Participate in cross-functional initiatives supporting CRM and enterprise-wide enhancements and enterprise system integrations.</li><li>
Assist project managers in identifying technical risks, dependencies, and mitigation strategies to support delivery timelines.</li><li>
Communicate project status clearly to stakeholders and escalate issues when necessary.</li><li>
Coordinate with offshore and onshore teams to ensure quality delivery and best practices.</li><li>
Maintain technical documentation, release notes, and support CI/CD deployments.</li></ul><div><b>
Job Qualifications:</b></div><ul><li>
Bachelor&rsquo;s degree in an IT-related field with 5+ years of professional experience, or master&rsquo;s degree with 3+ years of experience as a Salesforce Developer.</li><li>
Certifications: Certified AI Practitioner, certified Machine Learning Engr, Certified Salesforce admin and developer certifications.</li><li>
Demonstrated experience building and deploying LLM-based agents using LangChain, RAG, vector databases, and prompt engineering.</li><li>
Strong hands-on experience in Apex, LWC, SOQL/SOSL, Visualforce, and Salesforce DX (SFDX) development.</li><li>
Experience integrating Salesforce with external systems using REST/SOAP APIs, MuleSoft, Platform Events, and OAuth-based authentication.</li><li>
Hands-on experience with Salesforce Lightning Platform (LWC, Aura, Lightning App Builder) focusing on reusable component architecture and UI optimization.</li><li>
Experience working with Marketing Cloud integrations to support campaigns and communications.</li><li>
Proficient in Java enterprise development along with JavaScript, HTML, and CSS, with foundational experience in Java for web application development.</li><li>
Experience applying software design patterns such as MVC, Singleton, Factory, and Service Layer to build scalable and maintainable solutions.</li><li>
4+ years of experience working in Agile Scrum environments, participating in sprint planning, backlog refinement, and release cycles.</li><li>
Experience delivering Salesforce solutions within field service, insurance, and service-based operational environments.</li><li>
Strong understanding of SDLC processes including design documentation, code reviews, testing strategies, and deployment governance.</li><li>
Hands-on experience building and maintaining Experience Cloud (Customer/Partner) portals with secure authentication and role-based access control.</li><li>
Experience with Git-based version control, CI/CD pipelines, and multi-environment deployment strategies.</li></ul><div><b>
Schedule/Location:</b></div><ul><li>
Hours: Monday-Friday 8:00am-5:00pm</li><li><b>
Remote - AL, AZ, CA, CO, CT, FL, GA, IL, KY, MI, MN, NV, NJ, NY, NC, ND, OH, PA, TN, TX, UT, VA, WV, WI</b></li><li><b>
B</b><b>enefits Offered:</b><ul><li>
Medical, Dental, and Vision coverage</li><li>
401k</li><li>
Paid Time Off (PTO)</li><li>
Internet Stipend for remote workers</li><li>
And much more!</li></ul></li></ul><div></div><div><b><br>
About First Legal:</b></div><div>
We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, or any other basis protected by law. First Legal is the first truly comprehensive File Thru Trial&trade; solutions firm. With over 17 offices across the United States, First Legal has been serving thousands of law firms and corporations for more than 30 years across our six divisions - Court &amp; Process, Depositions, Discovery, Records, Digital and Investigations. Our success comes through our company culture of innovation and trust, commitment to quality service, and depth of industry knowledge. Our mission is to be the most dependable and trusted business partner for our clients by serving every aspect of the litigation workflow. First Legal partners with our clients on a national basis to achieve the most efficient litigation solutions for the betterment of our clients.</div></div>

Senior AI Engineer

Realign

<div>San Francisco, California 94016 Posted March 4th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role</b> : ServiceNow ITSM Senior Developer</div><div><b>
Location</b> : Cincinnati, OH / San Francisco, CA/ Dallas TX<br>
<b>FTE ONLY</b></div><div></div><div><b><br>
Job Description</b></div><div></div><div><b><br>
Must Have Technical/Functional Skills</b></div><div><b>
Technical Competency</b></div><ul><li> Experience as a ServiceNow ITSM Developer and Implementing Incident Management, Problem Management, Change Management, Knowledge Management, or Service Catalog, Mobile App, Virtual Agent</li><li> Ability to configure ServiceNow ITSM applications in alignment with approved design plans</li><li> Knowledge of unit testing, system integration testing, performance testing, user acceptance testing, or any client-specific testing</li><li> Experience with developing ServiceNow software solutions using JavaScript, Jelly, one or more Web Services, XML, HTML and CSS</li><li> Familiarity with SQL query creation and LDAP Query for connecting to and pulling data from Oracle, MySQL databases and AD respectively</li><li> Worked with and understands the value in creating repeatable processes to design development, test, staging and production environments that are reliable with high availability</li><li> Must be ServiceNow Certified Systems Administrator</li><li> Should possess knowledge in Agile/Scrum methodology</li><li> Basic knowledge with ITIL/industry standards</li><li> Knowledge of software development lifecycle (SDLC)</li><li> Behavioral competency</li><li> Effective communication skills with both non-technical and technical audiences (verbal and written)</li><li> Excellent Interpersonal skills to work with the project team members collaboratevily</li><li> Participate and provide feedback during planning meetings (i.e., pre-iteration, and retrospectives)</li></ul><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

ServiceNow ITSM Senior Developer-5

Jack & Jill

<div>
 This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
 <br/>
 <br/>
 She will pick the best candidates from Jack's network.
 <br/>
 <br/>
 The next step is to speak to Jack.
 <br/>
 <br/>
 Behavioral Research Scientist
 <br/>
 <br/>
 <strong>
  Salary:
 </strong>
 $140,000-$160,000 + Equity
 <br/>
 <br/>
 <strong>
  Company Description:
 </strong>
 VC-backed AI simulation platform
 <br/>
 <br/>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 Shape the cognitive and behavioral foundations of AI agents for a cutting-edge simulation engine. This role involves applying scientific depth to model decision-making, attention, and heuristics, impacting how next-generation digital products are designed. Join a team at the intersection of AI, behavioral science, and product experimentation, bringing real-world impact to scalable systems.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 San Francisco, USA
 <br/>
 <br/>
 <strong>
  Why this role is remarkable:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Join a team creating category-defining technology, building the simulation layer for adaptive software.
  </li>
  <li>
   Backed by top-tier VCs and product/engineering leaders from leading tech companies.
  </li>
  <li>
   Apply deep behavioral science and cutting-edge AI to solve complex product challenges with immediate impact.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What you will do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ground AI agents in validated behavioral and cognitive frameworks, modeling human decision-making.
  </li>
  <li>
   Translate behavioral theories into practical agent architectures, defining user clusters and personas.
  </li>
  <li>
   Design and analyze in silico experiments to test agent responses and benchmark simulation realism.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The ideal candidate:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD or postdoc in Cognitive Science, Behavioral Economics, Psychology, or HCI.
  </li>
  <li>
   Proven experience conducting original research on decision-making or behavioral modeling in digital contexts.
  </li>
  <li>
   Passionate about applying rigorous scientific research to real-world, impactful AI systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who are Jack &amp; Jill?
  <br/>
  <br/>
 </strong>
 Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
 <br/>
 <br/>
 And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
 <br/>
 <br/>
 <strong>
  Next steps
  <br/>
  <br/>
 </strong>
 Step 1. Visit our website
 <br/>
 <br/>
 Step 2. Click 'Talk to Jack'.
 <br/>
 <br/>
 Step 3. Talk to Jack so he can understand your experience and ambitions.
 <br/>
 <br/>
 Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
 <br/>
 <br/>
 Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
 <br/>
 <br/>
 Step 6. If not, Jack will find you excellent alternatives. All for free.
 <br/>
 <br/>
 <strong>
  We never post fake jobs
  <br/>
  <br/>
 </strong>
 This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
 <br/>
 <br/>
 Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
 <br/>
 <br/>
 We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
 <br/>
 <br/>
 Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
 <br/>
 <br/>
</div>


Behavioral Research Scientist ($140,000-$160,000 + Equity) at VC-backed AI simulation platform

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