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Presidio Trust

<div>The Presidio Trust is seeking a Enterprise Applications Engineer to join its IT Department. The Presidio Trust is a unique federal agency that stewards and shares the Presidio, one of the most visited national park sites in America and a place where people live and businesses thrive. The Trust manages the Presidio through a triple bottom line focus: being visited and loved by all, being a model of environmental stewardship, and demonstrating excellence in all our operations.
The Enterprise Applications Engineer is a key member of the Data Applications team, responsible for the administration, implementation, integration, lifecycle management, and operational support of a portfolio of more than 160 enterprise and departmental systems that support critical business functions, including procurement, facilities management, analytics, automation, GIS, cloud services, and emerging AI-enabled technologies.
Reporting to the Principal Data Architect, this role serves as the technical lead for assigned applications and integrations, partnering with business stakeholders, vendors, project teams, and IT to deliver secure, scalable technology solutions. This role drives application modernization, system integrations, automation, and continuous improvement initiatives; resolves complex technical issues; and ensures solutions align with business objectives, security, compliance, and data governance standards while enhancing operational efficiency and user experience.
This is a full-time position with benefits. The starting salary range for candidates based in San Francisco Bay Area is $135,090 to $160,319, depending on experience and qualifications. Salary may vary for candidates working from other locations. Applications received by July 17, 2026 will receive first consideration.
Responsibilities
<ul><li>Administer, configure, maintain and support a portfolio of enterprise and departmental applications, serving as the primary technical resource for application health, availability, and performance, operational integrity and lifecycle management activities, including implementation, upgrades, patching, and decommissioning.
</li><li>Lead and execute technical implementations, enhancements and system upgrades for enterprise applications, including but not limited to, Coupa, VFA (Facility Management), SharePoint, ArcGIS, Microsoft 365 (O365), Smartsheet, Asana, Power BI, AZURE and other business critical platforms. Responsibilities include system configuration, testing, integration development, data migration, deployment planning, validation, cutover activities, and post-implementation support.
</li><li>Develop, maintain, and support application integrations and data exchanges across the enterprise technology ecosystem, including API-based integrations, data mapping specifications, data automation workflows, and inter-system data flows to ensure accuracy, consistency, and integrity.
</li><li>Design, implement, and maintain automated workflows and business process automations across enterprise applications to improve operational efficiency, reduce manual effort, and enhance data quality across enterprise systems.
</li><li>Evaluate, implement and support AI-enabled features, integrations and automation capabilities within enterprise applications in alignment with organizational technology objectives.
</li><li>Perform back-end technical support for enterprise applications, including system configuration changes, data corrections, environment management, performance monitoring, user access administration, and resolution of complex application and integration issues across the full application portfolio.
</li><li>Coordinate and execute application patching, upgrades and version management activities in accordance with vendor release schedules and organizational change management practices. Assess patch impacts, maintain release documentation, patch logs, and coordinate testing activities with business functional stakeholders.
</li><li>Conduct technical root cause analysis for application incidents, data anomalies, integration failures and system performance issues; implement and document corrective actions and preventive controls to reduce recurrence.
</li><li>Develop and maintain comprehensive technical documentation for all administered applications, including system configuration workbooks, integration specifications, architecture diagrams, data flow documentation, runbooks, standard operating procedures (SOPs), and change management records.
</li><li>Collaborate with business stakeholders and functional leads to gather, analyze, and translate business requirements into technical solutions, system configurations, integrations, workflows and application enhancements.
</li><li>Support enterprise application-related projects through technical planning, requirement analysis, vendor coordination, testing strategy development, user acceptance testing (UAT) facilitation, deployment activities, and project closeout documentation.
</li><li>Actively contribute to and support enterprise data governance initiatives, including data standards development, data quality monitoring, metadata management, data mapping, and data lineage documentation and adherence to established data standards.
</li><li>Manage vendor relationships for assigned applications, including support coordination, issue escalation, license management, contract compliance tracking, and evaluation of product enhancements and roadmap opportunities in alignment with organizational technology strategy.
</li><li>Develop and maintain process documentation, workflow guides, and technical procedures for application-related business processes; identify opportunities for automation, standardization, and continuous improvement across supported platforms.
</li><li>Ensure application configurations, integrations and access controls comply with organizational security, compliance, audit and data governance requirements including access controls, role-based permissions (RBAC), audit logging, and information lifecycle management standards.
</li><li>Provide technical guidance and subject matter expertise to project teams, stakeholders, and IT staff regarding enterprise application capabilities, integration approaches, and technology best practices.</li>
<li>Research emerging technologies, cloud services, automation platforms, and AI-enabled tools; evaluate applicability and provide recommendations for improving business processes, user experience, and operational effectiveness.</li>
<li>Perform other duties as assigned.</li>
</ul>
Required Qualifications
<ul><li>Bachelor&rsquo;s degree in Information Systems, Computer Science, Business Administration, or related field; equivalent combination of education and progressively responsible professional experience will be considered.
</li><li>8 years of progressively responsible experience in enterprise applications administration, systems integration and implementation, and technical support across multi-platform environments.
</li><li>Demonstrated experience administering and configuring enterprise applications such as procurement systems (e.g., Coupa), Microsoft 365 (O365), facility management platforms (e.g. VFA or similar), SharePoint, collaboration and work management tools (e.g., Smartsheet, Asana), cloud platforms (AZURE/AWS), or comparable enterprise software ecosystems.
</li><li>Hands-on experience designing and supporting system integrations, API-based integrations (REST/SOAP), data mapping, and automated data workflows across enterprise applications.</li>
<li>Experience planning and executing application upgrades, patch deployments, and version migrations; including coordination of testing, validation and change management processes and release management practices.
</li><li>Proficiency in SQL or similar querying tools for data extraction, validation, troubleshooting, and reporting across application and integration environments.
</li><li>Experience developing and maintaining technical documentation, including configuration documents, system architecture diagrams, configuration workbooks, integration specifications, and SOPs.
</li><li>Strong understanding of data governance principles including data quality, metadata management, data lineage, data mapping and data stewardship practices.
</li><li>Ability to manage multiple concurrent projects and application support responsibilities with strong attention to detail, organizational skills, and follow-through.
</li><li>Strong communication and stakeholder engagement skills with demonstrated ability to translate business needs into technical requirements and explain technical concepts to non-technical audiences.
</li><li>Experience with application security administration including user access management, role-based access controls (RBAC), and audit logging or compliance review activities.
</li><li>Familiarity with IT service management (ITSM) frameworks, including incident, problem, change, cause, and request management processes.
</li></ul>Desired Qualifications
<ul><li>Experience in federal government, public sector, or nonprofit environments with familiarity in compliance, security expectations, and regulatory frameworks (e.g., FISMA, NIST, FedRAMP).
</li><li>Experience with Coupa procurement platform administration, configuration, or integration with ERP and financial systems.
</li><li>Experience with cloud platforms including AWS, AZURE and GCP.
</li><li>Familiarity with ETL tools, iPaaS platforms (e.g., MuleSoft, Boomi, Azure Data Factory, Fabric Data Factory), or scripting languages (Python, PowerShell) for data automation.
</li><li>Experience administering Smartsheet at an enterprise level, including workspace governance, automation rules, and cross-sheet integrations.
</li><li>Experience with Asana platform administration, project template configuration, and integration with enterprise systems.
</li><li>Experience with Power BI report development, dataset management, and integration with enterprise data sources.
</li><li>Familiarity with AI tools, platforms, or APIs (e.g., Microsoft Copilot, OpenAI/ChatGPT Enterprise, or similar) and experience supporting AI implementation projects within an enterprise application environment.
</li><li>ITIL v4 Foundation certification or equivalent IT service management training.
</li><li>Experience participating in or supporting enterprise data governance programs, data governance councils, or data stewardship initiatives.
</li><li>A passion for the mission and values of the Presidio Trust.</li>
</ul>
Background Check
 
This position is subject to an employment background check which shall consist of a review of applicable county, state and Federal criminal and civil records, state bankruptcy indexes, driver&rsquo;s license, education, and employment history. An individual&rsquo;s granting of a background check and resulting report is voluntary. However, employment is contingent upon the successful completion of an employment background check. The Presidio Trust may refuse to hire an individual, may rescind an offer of employment to an individual, or may review and terminate the employment of a current employee not successfully completing the background check.
The Presidio Trust is an equal opportunity employer, offering a competitive benefits package. To learn more, visit www.presidio.gov/about/presidio-trust/careers.</div>

Enterprise Applications Engineer

DigitalOcean

<div><div>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</div>
At DigitalOcean, Senior Deployment Engineers play a critical role in building and scaling the physical infrastructure that powers our cloud platform. Our Deployment team is responsible for new data center builds, infrastructure expansions, hardware deployments, cabling validation, site readiness, and repeatable execution standards that enable DigitalOcean to grow quickly and reliably.

From leading deployment workstreams to validating infrastructure readiness, driving contractor execution, troubleshooting complex blockers, and training local teams, our Senior Deployment Engineers operate across the full deployment lifecycle. You'll join a collaborative, fast-moving team with opportunities to support large-scale deployments, new data center expansions, and next-generation infrastructure.
<h3 class="jobSectionHeader">
This role requires significant onsite deployment support and requires very high levels of domestic and international travel based on project needs.</h3>
<h2 class="jobSectionHeader">What You'll Be Doing</h2>
<ul><li>Leading deployment workstreams for new data center builds, expansions, hardware rollouts, rack buildouts, cluster deployments, and high-density compute infrastructure</li>
<li>Acting as a senior onsite deployment resource for build quality, infrastructure validation, cabling validation, training, and site readiness</li>
<li>Validating vendor and contractor rack and stack work against DigitalOcean design standards, rack elevations, cabling plans, labeling requirements, and deployment procedures</li>
<li>Verifying physical readiness, including power feeds, redundancy, load balancing, rack layout, hardware placement, cable routing, labeling, and infrastructure documentation</li>
<li>Validating front-end and back-end cabling against design, port mapping, LLDP output, link checks, and internal validation workflows</li>
<li>Running and interpreting LLDP checks, automation scripts, tooling outputs, logs, and hardware diagnostics to confirm connectivity and deployment readiness</li>
<li>Identifying and driving correction of miswires, optic issues, link inconsistencies, communication errors, hardware faults, provisioning blockers, and physical layout issues</li>
<li>Troubleshooting complex issues across hardware, cabling, network-adjacent systems, Linux OS, tooling, and site conditions during high-pressure deployment windows</li>
<li>Coordinating contractors, vendors, and internal employees in a project capacity to complete assigned deployment workstreams</li>
<li>Sequencing work, assigning tasks, validating quality, tracking progress, and escalating blockers for assigned deployment areas</li>
<li>Training new DigitalOcean engineers, local Data Center Operations teams, vendors, and contractors on rack and stack standards, cabling patterns, validation workflows, and basic troubleshooting</li>
<li>Maintaining and improving deployment runbooks, validation workflows, operational procedures, checklists, and handoff documentation</li>
<li>Updating and validating DCTrack, NetBox handoff requirements, asset records, inventory systems, and deployment documentation</li>
<li>Providing daily status updates for assigned workstreams, including progress, risks, blockers, vendor issues, and recommended mitigation steps</li>
<li>Partnering with Data Center Operations, Network Engineering, Infrastructure Engineering, Logistics, Facilities, Security, Procurement, and vendors to drive deployment readiness</li>
<li>Supporting operational readiness and handoff for newly deployed infrastructure</li>
<li>Participating in lessons learned and driving improvements that reduce repeat issues across future deployments</li>
<li>Supporting planning and preparation for upcoming deployments during offsite periods</li>
</ul><h2 class="jobSectionHeader">What You'll Add to DigitalOcean</h2>
<ul><li>4+ years of experience deploying, operating, or supporting infrastructure in large-scale data center, cloud, lab, networking, or technical operations environments</li>
<li>Strong understanding of data center infrastructure, including compute, networking, storage, GPU hardware, cabling, power, rack layouts, and physical deployment standards</li>
<li>Experience deploying and troubleshooting high-density compute platforms, GPU infrastructure, and related hardware</li>
<li>Experience working with or supporting liquid-cooled infrastructure preferred</li>
<li>Strong Linux knowledge and command-line experience, including familiarity with bash scripting, logs, and diagnostic workflows</li>
<li>Strong troubleshooting skills across hardware, cabling, Linux OS, network connectivity, optics, provisioning, and tooling</li>
<li>Strong understanding of data center cabling plans, port mapping, front-end and back-end network patterns, labeling standards, and deployment best practices</li>
<li>Ability to lead assigned deployment workstreams independently in ambiguous, high-cadence environments</li>
<li>Ability to direct contractors and vendors professionally, validate completed work, correct quality issues, and drive task completion</li>
<li>Ability to evaluate deployment issues, identify root cause, leverage data, and drive timely resolution</li>
<li>Ability to communicate clearly with leadership and cross-functional partners regarding status, risk, blockers, and recommended next steps</li>
<li>Ability to update, review, and improve deployment documentation, runbooks, validation workflows, and operational procedures</li>
<li>Experience training and developing junior engineers, local site teams, vendors, and contractors</li>
<li>Ability to operate and navigate effectively through ambiguity while maintaining safety, quality, and execution standards</li>
<li>Strong ownership mindset with the ability to see deployment issues through to resolution</li>
<li>Ability to identify repeat deployment issues and recommend scalable process, tooling, or documentation improvements</li>
<li>The ability to travel domestically and internationally based on deployment needs</li>
<li>Support deployment schedules that include extended onsite periods, non-standard hours, or project-based rotations</li>
<li>Valid driver's license and comfort with driving as needed</li>
<li>Ability to remain on your feet throughout the workday</li>
<li>Ability to lift objects up to 50 lbs</li>
</ul><h2 class="jobSectionHeader">Compensation Range:</h2>
<ul><li>$105,600 - $132,000</li>
</ul>
<ul><li>This is a onsite role</li></ul>

JR: 2026-8035

#LI-Onsite<div><h2 class="jobSectionHeader">
Why You'll Like Working for DigitalOcean</h2>
<ul><li>We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li>We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li>We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li>We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li>DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</div></div>

Senior Deployment Engineer

Cushman & Wakefield

<div>Job Title
Financial Analyst, Capital Markets (Multifamily)
Job Description Summary
Position Summary: The Capital Markets Financial Analyst (&ldquo;CMFA&rdquo;) Hub Analyst will support transactions generated by Cushman &amp; Wakefield&rsquo;s Investment Sales brokerage services specializing in multifamily investments. The primary role of the CMFA will be to perform financial analysis activities of pricing, Excel valuation model creation and auditing, due diligence collection and review, market data collection, and translating analysis findings into high-level summaries with oversight from senior members of the Multifamily Advisory Group (&ldquo;MAG&rdquo;).
 
The ideal candidate will be based in San Franscisco and available to work on-site in a local Cushman &amp; Wakefield office. Team members may be expected to work outside normal operating hours to meet project deadlines.
Job Description
Essential Duties<ul><li>
Support the execution of MAG Broker team financial analysis and valuation modeling requests, including scenario analyses</li><li>
Prepare pro forma statements, discounted cash flow analyses, and Excel-based financial models with consideration of market conditions (both current historical)</li><li>
Conduct audits of existing financial models for accuracy of model inputs and validity of assumptions</li><li>
Perform extensive research, including but not limited to, reviewing and analyzing financial reports, studying comparable properties, collect information on the immediate area (demographics) and overall market; synthesize findings in a clear, concise manner</li><li>
Develop high-level analysis summaries by identifying transaction considerations (strengths/weaknesses), trends, outliers, and logical inconsistencies</li><li>
Assist with the drafting and preparing of Offering Memorandums, Broker Opinion of Value, and/or Request for Proposals</li><li>
Communicate professionally to clients in the execution phase of the sales process (including assisting with Marketing Timelines, Scheduling Tours, Weekly Activity Reports, etc.)</li><li>
Demonstrates continual development of cash flow and Excel-modeling skills and competencies. Deliverables will increase in complexity and scope over time in the role.</li><li>
Prepares clear concise summary documentation and spreadsheets that support and explain the basis of the analyses for use in client presentations, proposals and/or reports</li><li>
Review tenant leases to abstract key data points and identify areas of issue/concern that will have an impact on the real estate financial analysis, as applicable for mixed use opportunities</li><li>
Maintain owner database and track loan maturities for Business Development.</li><li>
Maintain rent and sales comp database</li><li>
Review analyses with deal team, answer clarifying questions and make accurate revisions</li><li>
Participation in internal and external stakeholder meetings to present and discuss their analyses</li><li>
May assist with market research of prospective transactions</li><li>
Participates in broker team calls and meetings, as needed</li><li>
Performs other related duties as required or as requested</li></ul>
Other Requirements &amp; Administrative Duties<ul><li>
Bachelor&rsquo;s Degree (Business, Finance, Accounting, Real Estate, etc.) preferred</li><li>
Combination of education without a degree and corporate work experience may be considered</li><li>
0-2 years of financial analysis and Excel modeling experience, Capital Markets and/or multifamily underwriting experience a plus</li><li>
Experience with creating or constructing discounted cash flow models in Excel</li><li>
Client-service oriented mindset with a passion for producing a high-quality work product, meeting deadlines and client expectations</li><li>
Highly proficient in Microsoft Office Suite. Advanced knowledge in Microsoft Excel a plus.</li><li>
Experience with Salesforce, and CoStar and Axiometrics market research data a plus</li><li>
Strong analytical skills with high attention to detail and accuracy</li><li>
Ability to write effectively and succinctly for use in marketing deliverables, or other internal stakeholders</li><li>
Good time management and organization skills</li><li>
Ability to balance and prioritize multiple priorities in a high-volume, fast-paced environment</li><li>
Growth oriented mindset, desire to learn more and shares knowledge to help others succeed</li></ul> 

Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. 

The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate&rsquo;s experience and qualifications. 

The company will not pay less than minimum wage for this role. 

The compensation for the position is: $ 72,250.00 - $85,000.00
Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Financial Analyst, Capital Markets (Multifamily)

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

The Opportunity is where our sellers live: it's the center of gravity for pipeline, forecasting, and how leadership reads the business. This role owns how Anthropic's core sales motion is represented in Salesforce: how deals are tracked, how pipeline is managed, how the sales team itself is structured and credited in system, and how forecasting rolls up to leadership.

We're looking for someone who operates at the intersection of three things: a strategist who can sit with sales leadership and shape how they want to understand the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code, but you'll be the named owner of the Opportunity domain and the person sales leadership calls when they want to change how the funnel works.
<h2 class="jobSectionHeader">
Key responsibilities</h2>
<ul>
<li>Own the design of the Opportunity lifecycle in Salesforce: stages, sales process, exit criteria, key fields, and the automation and guardrails that keep pipeline data trustworthy
</li>
<li>Partner with sales leadership on the forecasting motion; design and iterate on native Salesforce forecasting and pipeline inspection to match how the business actually rolls up, and make the tradeoff calls on what sellers enter versus what insight that data unlocks
</li>
<li>Partner with RevOps to systematize how the sales team is represented and credited: opportunity ownership, team selling, splits, overlays, and the territory and role structures those depend on
</li>
<li>Operationalize the sales methodology in system, turning qualification frameworks and stage discipline into fields, validation, scoring, and in-context guidance that sellers actually use
</li>
<li>Own account planning and whitespace as part of the core sales motion: how account plans, coverage, and opportunity identification are captured and connected to pipeline
</li>
<li>Act as data-model steward for Opportunity and its closest neighbors: the named approver for new fields, automation, and integrations touching the object, and the keeper of why each one exists
</li>
<li>Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification
</li>
<li>Own the seams to adjacent domains (quote-to-cash, partner attribution, renewals, lead handoff) so the seller experience is coherent end to end even where the build sits with another team
</li>
<li>Evaluate and configure tooling that accelerates in-pipeline work: deal inspection, activity capture, mutual action plans, guided selling
</li>
<li>Run discovery, UAT, enablement, and adoption measurement for everything you ship; set the bar for how BSA work is done on this team
</li>
</ul><h2 class="jobSectionHeader">Minimum qualifications</h2>
<ul>
<li>Experience in GTM/Revenue systems as a Business Systems Analyst, Sales Systems Lead, or RevOps Systems role, with real ownership of the Opportunity, pipeline, and forecasting domain
</li>
<li>Experience designing and rolling out an Opportunity stage model, sales methodology, or forecasting motion at a fast-growing company, owning it from discovery through enablement and adoption
</li>
<li>Credibility with sales leaders: you've been in the forecast call, you understand pipeline coverage, conversion, slippage, and commit, and you can push back on a VP when there's a better answer
</li>
<li>Hands-on Salesforce skills, with comfort building meaningful parts of your own solution (Flow, validation, page and Path design, forecasting setup) and specs that make the handoff to developers clean
</li>
<li>Crisp communication across sellers, sales leadership, RevOps, and engineers, adjusting altitude for each
</li>
</ul><h2 class="jobSectionHeader">Preferred qualifications</h2>
<ul>
<li>8+ years of experience in GTM/Revenue systems roles
</li>
<li>Salesforce Administrator certification
</li>
<li>Advanced Administrator, Business Analyst, or Sales Cloud Consultant certification
</li>
<li>Experience partnering with RevOps or Sales Strategy on team-structure questions (ownership, splits, overlays, territory) and turning those decisions into working system design
</li>
<li>Curiosity about AI-assisted systems work and eagerness to fold it into how you design, build, and document; prior hands-on use is a strong plus
</li>
</ul></div><div><div><div><div>The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div>
Annual Salary:
$270,000 - $310,000 USD</div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.</div></div>

Business System Analyst Lead, Opportunity Acceleration

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Experience
 
Salesforce is building the next-generation Enterprise Knowledge Graph platform to power AI-driven experiences, agentic applications, semantic search, enterprise data discovery, and intelligent decision-making across the company. The platform serves as the foundational knowledge layer connecting enterprise data, business entities, ontologies, and relationships across multiple domains.
 
 
We are seeking both a Senior Member of Technical Staff (SMTS) and a Lead Member of Technical Staff (LMTS) to join our Enterprise Knowledge Graph and AI Engineering team.
 
 
The SMTS will serve as a senior engineer and core systems developer &mdash; heavily hands-on, developing, optimizing, and scaling core knowledge graph components, semantic pipeline workflows, and AI-powered frameworks. You will partner with Lead and Principal Engineers to implement technical designs and build production-ready scalable systems that support agentic AI use cases across the enterprise.
 
 
The LMTS will serve as a hands-on technical lead, systems designer, and ontology engineer &mdash; designing, building, and scaling core knowledge graph infrastructure, semantic schemas, and AI-powered developer frameworks. You will partner closely with Principal Engineers, Product Management, Ontology experts, and Data Engineering teams to turn high-level engineering visions into production-ready scalable foundations.
 
 
Both roles will actively implement and drive AI-powered engineering tools and developer platforms that improve engineering productivity, software quality, and delivery velocity across the organization. 
 
What You'll Actually Be Doing
<ul><li>Design &amp; Implement: Build and scale Salesforce's Enterprise Knowledge Graph platform components, focusing on performance, data throughput, system reliability, high availability, and robust data integrity. (LMTS: Lead hands-on design and implementation of platform subsystems; SMTS: Write high-quality, production-grade code.)
</li><li>Graph &amp; Ontology Engineering: Develop graph data models, write complex graph queries, and construct scalable data pipelines to ingest and map structured and unstructured data to enterprise ontologies and taxonomies. (LMTS: Also design enterprise ontologies, taxonomies, semantic layers, entity resolution frameworks, graph APIs, and vector search capabilities to support advanced RAG and agentic workflows.)
</li><li>Semantic Routing: Write and maintain Python-based semantic routing frameworks to parse, classify, and dynamically direct incoming queries to the appropriate knowledge graph indexes or vector databases. (LMTS: Design, optimize, and productionize routing frameworks at enterprise scale, steering queries to appropriate knowledge graphs, ontology sub-graphs, or vector databases.)
</li><li>AI Tooling &amp; Automation: Build, integrate, and leverage AI-powered developer tools and engineering automation platforms utilizing ecosystems such as Claude, Cursor, Windsurf, AI Agents, and Model Context Protocol (MCP) frameworks. (LMTS: Also develop, deploy, and optimize these tools; drive strategy and productionization.)
</li><li>Data Integration: Build scalable data pipelines and engineering patterns to ingest, transform, and orchestrate structured, unstructured, and third-party data sources into graph-based platforms mapped tightly to enterprise ontologies.
</li><li>Feature Ownership &amp; Technical Execution: Own the technical execution of specific platform features from concept through design, coding, testing, and production deployment. (LMTS: Also translate high-level technical visions and roadmaps into concrete system blueprints, ontology schemas, and execution plans.)
</li><li>Code Quality &amp; Rigor: Participate heavily in code reviews, write comprehensive automated unit/integration tests, and ensure adherence to engineering standards and operational best practices.
</li><li>Technical Mentorship: Provide technical guidance and mentorship to engineers on the team. (SMTS: Mentor MTS and Associate engineers. LMTS: Provide day-to-day guidance, code reviews, and design direction to SMTS, MTS, and associate engineers, fostering a culture of technical rigor and operational maturity.)
</li><li>Cross-Functional Collaboration: Work closely with Lead/Principal Engineers, Product Managers, and Data Engineering teams to deliver robust features aligned with broader enterprise AI priorities. (LMTS: Also partner with PMTS engineers and Ontology governance boards to ensure alignment with AI infrastructure standards.)
</li><li>Evaluate &amp; Innovate (LMTS): Conduct deep-dive evaluations of emerging graph technologies, ontology modeling tools, semantic reasoning frameworks, vector databases, and AI tooling to continuously modernize the platform.
</li></ul>You're Our Person If...
SMTS
<ul><li>Experience: 8+ years of hands-on software engineering experience in development, data engineering, distributed systems, or enterprise data platforms.
</li><li>Education: A related technical degree required.
</li><li>Core Programming: Expert-level coding skills in backend ecosystems, with strong fluency in Python and standard object-oriented/functional programming languages.
</li><li>Semantic Routing &amp; AI: Hands-on experience developing and deploying custom semantic routers using Python (leveraging native embeddings, LangChain, or mathematical logic like cosine similarity) alongside RAG architectures, vector search platforms, and AI workflows.
</li><li>Graph &amp; Ontology Fundamentals: Solid experience working with graph databases and semantic web concepts (e.g., Neo4j, RDF/OWL, SPARQL, property graphs) and mapping data to structured taxonomies.
</li><li>Developer Tooling: Practical experience configuring, testing, or integrating AI-assisted engineering tools or automation workflows (e.g., Claude, Cursor, Windsurf, GitHub Copilot, or MCP frameworks).
</li><li>Distributed Systems &amp; Cloud: Proven experience building applications on cloud-native systems (AWS, GCP, or Azure) utilizing microservices, REST/gRPC APIs, and event-driven data streaming (e.g., Kafka).
</li><li>Delivery: Track record of owning and successfully delivering complex features in an agile, production-scale environment.
</li></ul>LMTS
<ul><li>Experience: 10+ years of hands-on experience in software engineering, data engineering, distributed systems, or enterprise data platforms.
</li><li>Education: A related technical degree required.
</li><li>Ontology &amp; Graph Expertise: Solid, hands-on experience designing and building Knowledge Graph platforms, formal ontologies, semantic models, taxonomies, or enterprise metadata management systems.
</li><li>Tooling &amp; Ecosystems: Strong hands-on experience with graph technologies and ontology engineering tools (e.g., Neo4j, TopQuadrant, Prot&eacute;g&eacute;, RDF/OWL, SPARQL, SHACL, property graphs) and semantic reasoning frameworks.
</li><li>AI &amp; Retrieval: Proven experience implementing graph-powered AI solutions, vector search platforms, Retrieval-Augmented Generation (RAG) architectures, and orchestrating agentic workflows.
</li><li>Semantic Routing Mastery: Demonstrated hands-on experience designing, optimizing, and productionizing custom semantic routers using Python (leveraging native embeddings, LangChain, semantic-router, or specialized mathematical logic like cosine similarity) to decouple intent handling from expensive LLM calls.
</li><li>Developer Automation: Experience deploying and integrating AI-assisted engineering tools or automation workflows using ecosystems like Claude, Cursor, Windsurf, GitHub Copilot, or MCP frameworks.
</li><li>Backend &amp; Cloud: Strong experience with cloud-native system designs (AWS, GCP, or Azure), distributed systems, microservices, and high-throughput event-driven systems.
</li><li>Leadership: Demonstrated experience leading feature teams, guiding technical execution, and mentoring mid-to-senior level engineers.
</li></ul>Even Better If...
SMTS
<ul><li>Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
</li><li>Familiarity with ontology validation frameworks (e.g., SHACL) and data quality governance.
</li><li>Experience building integrations with data platform environments like Salesforce Data Cloud or enterprise CRM metadata architectures.
</li><li>Experience optimizing low-latency applications and heavy-throughput vector search lookups.
</li><li>Passion for engineering automation and driving personal/team velocity via advanced AI development tools.
</li></ul>LMTS
<ul><li>Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field with a focus on Semantic Web or Knowledge Representation.
</li><li>Direct experience integrating platforms with Salesforce Data Cloud, CRM platforms, or metadata-driven system designs.
</li><li>Experience with semantic routing at enterprise scale, high-throughput enterprise search systems, and graph-powered recommendation engines.
</li><li>Deep familiarity with advanced ontology governance, federated knowledge management, and data contract alignment.
</li><li>Proven track record of optimizing engineering team velocity through the tailored implementation of AI developer tooling.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
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Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 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>

Data Engineer (SMTS/LMTS) - Knowledge Graph & AI

Common Sense Media

<div>Data Scientist<div></div><div><div><div><div>
Organization 
Common Sense Media</div><div> 
Department 
Data</div><div> 
Reports To 
Senior Director, Data &amp; Analytics</div><div> 
Location 
San Francisco, CA</div><div><div> 
Classification 
Salary Range</div><div> 
Full-time, Exempt
$140,00&ndash;$166,250</div></div> 
</div></div></div>
POSITION OVERVIEW
Common Sense Media is seeking a Data Scientist to help build data capabilities that allows the organization to answer the questions that matter most to advancing our mission and driving impact for kids and families. This is a hands-on, full-stack individual contributor role responsible for developing pipelines, models, and analyses that turn data from across the Common Sense Media ecosystem into reliable, decision-ready insights.
The Data Scientist will develop predictive and statistical models that support organization-wide decisions, design and analyze experiments, apply causal inference methods, and lead impact analyses that measure how Common Sense Media's work affects kids, families, and educators, translating findings into clear, actionable recommendations for both technical and non-technical audiences. The Data Scientist's work will span the full range of data science at Common Sense Media, from foundational data engineering and data modeling through analytics, machine learning, experimentation, and impact analysis.
As a senior technical voice on the team, the Data Scientist will help uplevel the organization's capabilities in data science, machine learning, and generative AI, advising on methodology, helping to develop and test AI product features, and raising the technical bar within product and engineering.
KEY RESPONSIBILITIES
Analytics &amp; Modeling<ul><li>
Conduct rigorous exploratory and descriptive analyses that establish the foundational understanding of our audiences, programs, and performance.</li><li>
Develop predictive and statistical models that support organization-wide decisions.</li><li>
Apply modern machine learning techniques to ship models and analyses that drive impact.</li></ul>
Experimentation &amp; Causal Inference<ul><li>
Design and execute A/B tests and randomized controlled trials.</li><li>
Leverage rigorous quasi-experimental designs (e.g., difference-in-differences, regression discontinuity) and advanced causal inference techniques to evaluate the impact of complex product and program decisions where randomized testing is not feasible.</li></ul>
Impact Measurement<ul><li>
Lead rigorous impact analyses and program evaluations that measure how Common Sense Media's work affects kids, families, and educators.</li><li>
Apply causal inference and evaluation methods to measure real-world outcomes.</li></ul>
Insights &amp; Communication<ul><li>
Translate findings into clear, actionable recommendations for both technical and non-technical audiences.</li><li><h1 class="jobSectionHeader">
Partner closely with colleagues across Common Sense Media to put data to work across the organization.</h1></li></ul> 
Analytics Engineering<ul><li>
Own the data models that turn raw data into clean, reliable, analysis-ready data sets used across the organization.</li><li>
Work with internal teams and external partners to establish data collection approaches, integrate new data sources, and ensure that incoming data is structured and trustworthy.</li><li><h1 class="jobSectionHeader">
Build and maintain the data pipelines and transformations necessary to support modeling, reporting, and impact measurement.</h1></li></ul> 
Technical Leadership<ul><li>
Serve as a senior technical voice on the team, advising on methodology and raising the technical bar around how to use data in thoughtful decision-making.</li><li>
Help uplevel the organization's capabilities in data science, machine learning, and generative AI, supporting the development and testing of AI tools and features across the organization.</li></ul>
QUALIFICATIONS<ul><li>
8+ years of experience in applied data science, analytics, or a closely related quantitative field, with a track record of shipping models and analyses that have changed decisions.</li><li>
Strong hands-on skills in SQL and Python or R, and expert use of standard machine learning libraries.</li><li>
Experience building and maintaining production data pipelines using modern cloud data warehouses (Snowflake, BigQuery, or Redshift) and modern data stack tooling (dbt, Airflow, Fivetran, or equivalents).</li><li>
Demonstrated experience designing and analyzing experiments, including A/B tests, quasi-experiments, and causal inference methods.</li><li>
Experience leading rigorous impact or program evaluation that measures real-world outcomes.</li><li>
Experience mentoring junior data scientists.</li><li>
Excellent written and verbal communication skills, with the ability to translate technical work into clear narratives for both technical and non-technical audiences.</li><li>
Demonstrated ability to serve as a senior technical voice within an organization, raising the technical bar of teammates and helping non-technical colleagues use data and AI tools effectively in their work.</li><li><h1 class="jobSectionHeader">
Strong understanding of data governance, privacy, and responsible data and AI practices, with particular sensitivity to data involving children and families.</h1></li><li><h1 class="jobSectionHeader">
Familiarity with product analytics, CRM, and marketing platforms (Amplitude, Google Analytics, Salesforce, Braze) and their underlying data structures is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience building predictive models for subscription, retention, lifetime value, or similar member or customer lifecycle problems is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience implementing and evaluating generative AI or LLM-based solutions, including prompt engineering, fine-tuning, retrieval-augmented generation, or self-hosted models, with rigorous evaluation against human or ground-truth baselines, is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience designing AI evaluation frameworks, including human-in-the-loop evaluation, bias and fairness assessment, and ongoing monitoring of model performance, is a plus.</h1></li><li><h1 class="jobSectionHeader">
Prior experience in a mission-driven, nonprofit, education, or media organization is a plus.</h1></li></ul>
WHAT WE OFFER<ul><li>
The opportunity to really make a difference in the lives of kids and families!</li><li>
A mission-driven team with a 23-year track record of impact for families and children.</li><li>
Competitive nonprofit compensation and comprehensive benefits.</li><li>
A collaborative, flexible work environment with meaningful leadership access and visibility.</li></ul>
ABOUT COMMON SENSE MEDIA
Common Sense Media is the leading nonprofit organization dedicated to improving the lives of kids and families by providing the research-backed information, education, and independent voice they need to thrive in the age of apps, algorithms, and AI. We rate, educate, and advocate for policies to protect and prepare kids online. Our ratings, research, and resources reach more than 150 million users globally, over 1.4 million educators, and more than 100,000 schools worldwide every year. Learn more at commonsense.org.</div>

Data Scientist

Sift

<div>
 
 About Sift
 
 
 
 Sift is the data infrastructure platform for hardware engineering teams. Sift turns high-frequency telemetry into engineering insights for mission-critical systems. Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more.
 
 
 Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.
 
 
 
 In This Role, You'll
 
 
 
 <ul>
 <li>
 Build and maintain full stack features across our web application and data processing backend for complex telemetry data
 </li>
 <li>
 Create intuitive user interfaces for data exploration while optimizing for large real-time datasets
 </li>
 <li>
 Implement efficient APIs and data access patterns for real-time data streaming
 </li>
 <li>
 Collaborate with data platform and frontend teams on service design and implementation
 </li>
 <li>
 Write clean, maintainable code and participate in technical design discussions
 
 
 </li>
 </ul>
 
 The Skillset You'll Bring
 
 
 
 <ul>
 <li>
 3+ years of professional experience in full-stack software development
 </li>
 <li>
 Experience building production applications with technologies like React, NextJS, TypeScript, Go, Rust, and Python
 </li>
 <li>
 Familiarity with relational and non-relational databases, e.g. PostgreSQL, Druid, Pinot, Timescale, or similar
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with technical visualization tools (WebGL, D3.js, Apache ECharts) and time-series data
 </li>
 <li>
 Knowledge of WebAssembly and browser-based computation
 </li>
 <li>
 Background in scientific computing or technical data visualization
 </li>
 <li>
 Experience building tools for technical users (dashboards, data-editing environments)
 </li>
 <li>
 Built and launched side projects with consistent usage traffic
 
 
 </li>
 </ul>
 
 Engineering At SIFT
 
 
 
 You'll have the opportunity to help evolve and scale our platform because we're still in the early stages of building the product. Relevant technologies include:
 
 
 <ul>
 <li>
 Web frontend &amp; backend: ECharts, Go, gRPC, PostgreSQL, Protobuf, Radix, React, Redux, and TypeScript
 </li>
 <li>
 Data: Arrow, DataFusion, Flink, Parquet, and Rust
 </li>
 <li>
 Infrastructure: Argo CD, AWS, Docker, GitHub Actions, Grafana, Kubernetes, Kustomize, Linux, Prometheus, and Terragrunt
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 Sift&rsquo;s headquarters is in
 
 Marina Del Rey, CA
 
 (Next to LAX). We collaborate
 
 in person
 
 twice a week&mdash;on
 
 Mondays and Thursdays
 
 &mdash;and come together for a full week every two months. We are open to
 
 relocating candidates to LA
 
 or
 
 working from our San Francisco
 
 office for the right candidate.
 
 
 Salary range: $150,000 - $200,000 per year. Plus equity and benefits.
 
 
 
 Eligibility
 
 
 
 
 U.S. Person Required
 
 : Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations.
</div>

Software Engineer, Full Stack

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