{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/partner-engineer"},"x-facet":{"type":"skill","slug":"partner-engineer","display":"Partner Engineer","count":6},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_af586166-0a0"},"title":"Technical Solutions Specialist, Data Operations","description":"<p>In Data Operations on the Strategic Data Partnerships team at Anthropic, you will support a cross-functional team in implementing partnership strategies to improve Anthropic’s products. You’ll ensure data meets our standards and reaches the right teams, build systems to track compliance and data usage across the portfolio, and coordinate across Research, Product, Legal, and external partners to remove barriers and accelerate impact.</p>\n<p>This role requires operational excellence combined with technical hands-on execution, and is a great fit for someone who wants to apply those skills in a high-impact, fast-growth context.</p>\n<p>Responsibilities:</p>\n<p>Data Opportunity Assessment and Processing</p>\n<ul>\n<li>Analyze and review incoming or prospective data to verify it is useful and strategic for Anthropic</li>\n<li>Own and maintain Python-based ETL pipelines that process large partner datasets, applying filtering criteria and deduplicating against existing data</li>\n<li>Write and optimize SQL queries against large relational databases to support filtering and analysis workflows</li>\n<li>Refine processing logic as requirements evolve across new data types and formats</li>\n</ul>\n<p>Data Delivery Infrastructure, Tooling, and Support</p>\n<ul>\n<li>Own end-to-end data delivery workflows, ensuring data moves seamlessly from partners to internal teams to accelerate time-to-impact</li>\n<li>Manage AWS and GCP resources for receiving and organizing partner data deliveries</li>\n<li>Troubleshoot delivery issues and coordinate with partners on formatting and transfer protocols and resolve technical escalations from partners and internal teams</li>\n<li>Build and maintain internal systems, scripts, and automation that support the team’s workflows</li>\n<li>Support occasional research evaluation tasks as needed</li>\n</ul>\n<p>Data Operations and Governance</p>\n<ul>\n<li>Develop and maintain Anthropic&#39;s preferred standards for receiving, consuming and cataloging data, ensuring alignment with Product and Engineering&#39;s evolving needs</li>\n<li>Contribute to systems for monitoring data usage and compliance with partner agreements</li>\n<li>Partner with teammates and cross-functional stakeholders to build out governance practices as the team scales</li>\n</ul>\n<p>You May Be a Good Fit If You</p>\n<ul>\n<li>Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience</li>\n<li>5-7+ years of experience with data pipelines or data engineering workflows</li>\n<li>Background in solutions engineering, partner engineering or related role at a large tech company</li>\n<li>5+ years of experience in technical troubleshooting or writing code in one or more programming languages</li>\n<li>Proficiency in Python and SQL, including writing, debugging, and optimizing scripts and queries against large datasets</li>\n<li>Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), including managing storage, configuring access, and working from the CLI</li>\n<li>Excellent problem-solving skills with a track record of debugging technical issues, whether at the code level or within a broader system</li>\n<li>Some experience interacting with external third parties delivering data</li>\n</ul>\n<p>Strong Candidates Will Have</p>\n<ul>\n<li>Experience working alongside technical teams (research, engineering, or product) to solve ambiguous problems</li>\n<li>Ability to translate technical concepts into clear, actionable guidance for non-technical stakeholders or external partners</li>\n<li>Experience owning or maintaining a production service or system with uptime expectations</li>\n<li>Familiarity with data governance, compliance, or rights management</li>\n<li>Ability to manage multiple, time-sensitive projects simultaneously and the drive to take a project from an initial idea to full completion</li>\n<li>Experience leveraging AI to automate workflows</li>\n</ul>\n<p>Candidates Need Not Have</p>\n<ul>\n<li>Deep expertise in AI or machine learning</li>\n<li>A pure software engineering background</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_af586166-0a0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5056499008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$205,000-$240,000 USD","x-skills-required":["Python","SQL","Cloud infrastructure (AWS, GCP, or Azure)","Data pipelines","Data engineering workflows","Solutions engineering","Partner engineering"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:08.396Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, 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This role is focused on building technical and commercial momentum with both consulting and technology partners.</p>\n<p>You will work closely with Partner Development Managers to drive partner capability, field alignment, and pipeline across strategic SI and consulting partners as well as key technology partners such as Snowflake, Databricks, and Google Cloud.</p>\n<p>Internally, this role sits at the intersection of Field Engineering, Partnerships, Sales, Product, and Partner Marketing. This is not a purely reactive enablement role. 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The role is especially important as dbt continues investing in structured partner motions and deeper engagement with major cloud and data platform partners.</p>\n<p>What you&#39;ll do:</p>\n<ul>\n<li>Partner closely with Partner Development Managers to execute joint GTM plans across technology and SI/consulting partners.</li>\n</ul>\n<ul>\n<li>Build trusted technical relationships with partner architects, sellers, and practice leaders</li>\n</ul>\n<ul>\n<li>Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness</li>\n</ul>\n<ul>\n<li>Support account mapping and seller-to-seller alignment between dbt and partner field teams to uncover and accelerate pipeline</li>\n</ul>\n<ul>\n<li>Help create and refine repeatable sales plays across themes like core-to-cloud migration, modernization, AI-ready data foundations, marketplace, semantic layer, and partner platform adoption</li>\n</ul>\n<ul>\n<li>Support 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This role is focused on building technical and commercial momentum with both consulting and technology partners.</p>\n<p>As a Partner Solutions Architect, you will work closely with Partner Development Managers to drive partner capability, field alignment, and pipeline across strategic SI and consulting partners as well as key technology partners such as Snowflake, Databricks, and Google Cloud. Internally, this role sits at the intersection of Field Engineering, Partnerships, Sales, Product, and Partner Marketing.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Partner closely with North America Partner Development Managers to execute joint GTM plans across technology and SI/consulting partners.</li>\n<li>Build trusted technical relationships with partner architects, sellers, and practice leaders</li>\n<li>Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness</li>\n<li>Support account mapping and seller-to-seller alignment between dbt and partner field teams to uncover and accelerate pipeline</li>\n<li>Help create and refine repeatable sales plays across themes like core-to-cloud migration, modernization, AI-ready data foundations, marketplace, semantic layer, and partner platform adoption</li>\n<li>Support partner-led and tri-party pipeline generation efforts including QBRs, innovation days, 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workflows, transformation, orchestration, governance, metadata"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e6811a48-f96"},"title":"VP, Partner Engineering","description":"<p><strong>VP, Partner Engineering at Quantexa</strong></p>\n<p><strong>What we&#39;re all about.</strong></p>\n<p>Our DATA values—Determination, Ambition, Teamwork, Accountability—aren&#39;t just operating principles, they&#39;re our competitive advantage. We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier.</p>\n<p>As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world&#39;s most strategic technology and consulting landscapes.</p>\n<p><strong>Make Every Decision Count with Context</strong></p>\n<p><strong>The opportunity.</strong></p>\n<p>Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in-class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline.</p>\n<p>This role will include:</p>\n<ul>\n<li>Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue 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enterprise-grade integration frameworks and enforce architectural guardrails that accelerate deployment while minimizing partner/customer delivery risk.</li>\n<li>Partner with Product and R&amp;D for cross function collaboration and alignment around roadmap and innovation</li>\n<li>Lead, mentor, and scale a global team of Partner Solution Architects focused on:</li>\n</ul>\n<ul>\n<li>Joint solution architecture</li>\n<li>Partner-led PoCs/PoVs</li>\n<li>Demo and sandbox platforms</li>\n<li>Deployment acceleration</li>\n<li>Technical certifications and readiness</li>\n</ul>\n<ul>\n<li>Build an elite Partner Architecture Centre of Excellence that rivals top ecosystem engineering orgs in the industry.</li>\n<li>Define clear role expectations, capability uplift plans, and partner field alignment models for PSAs.</li>\n<li>Establish performance-driven culture anchored in partner adoption velocity, PoV win rate, demo adoption, deployment acceleration, and marketplace ARR.</li>\n<li>Partner with Field Alliances, Field Engineering and RVP’s to enable and ensure Ecosystem attribution</li>\n<li>Own hyperscaler and ISV technical partnership co-innovation roadmaps, ensuring:</li>\n</ul>\n<ul>\n<li>Marketplace-ready joint solutions</li>\n<li>Consumption and integration patterns tied to incentives</li>\n<li>Field delivery kits for PSA + partner sellers</li>\n<li>Hardened reference designs for repeatable pursuits</li>\n</ul>\n<ul>\n<li>Drive GSI partnerships into factory-style delivery motions, launching industry solutions and field-ready plays with global systems integrators.</li>\n<li>Govern multi-party architecture risk, security, deployment patterns, rapid time-to-value, and executive sponsor checkpoints.</li>\n<li>Be the Evangelist for Ecosystem opportunities and own the hypothesis qualification for embedded or OEM, co-developed offerings and new pursuits</li>\n<li>Working closely with Product, define our ecosystem’s technical differentiation narrative—anchored in decision context, AI/data intelligence, workflows, and enterprise integration depth—against point solutions and platform incumbents.</li>\n<li>Ensure PSAs and partners can articulate why our platform wins architecturally, commercially, and operationally.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<p><strong>What you&#39;ll bring.</strong></p>\n<ul>\n<li>Proven executive leadership building partner engineering teams within enterprise software ecosystems</li>\n<li>Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures.</li>\n<li>Experience launching production-hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment outcomes.</li>\n<li>Ability to translate platform capability into partner-owned architectures that scale across customer estates.</li>\n<li>Practitioner’s mindset for governance of PoVs, partner certifications, deployment velocity, risk mitigation, and technical adoption KPIs</li>\n<li>Extensive experience in senior partner engineering, sales engineering or ecosystem technical leadership within large-scale enterprise software or SaaS companies.</li>\n<li>Excellent experience of managing architect/engineering-focused partner teams, PSAs, and global technical enablement functions.</li>\n<li>Demonstrated success driving multi-cloud partner consumption ARR, joint solution launches, and co-sell acceleration.</li>\n<li>Executive communication credibility with partner CTO/CIO/VP engineering stakeholders and hyperscaler/GSI technical leaders.</li>\n<li>Comfort operating across legal, sales, product, security, presales, and partner delivery functions.</li>\n<li>Willingness to travel globally (&gt;40%).</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p><strong>Our perks and quirks.</strong></p>\n<p>What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.</p>\n<p>We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.</p>\n<p>We offer:</p>\n<p>Competitive salary Company bonus Flexible working hours in a hybrid workplace &amp; free access to global WeWork locations &amp; events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off! Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Health &amp; Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts Team&#39;s Social Budget &amp; Company-wide Summer &amp; Winter Parties Tech &amp; Cycle-to-Work Schemes Volunteer Day off Dog-friendly Offices</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products.</p>\n<p>The AI Deployment Engineering team, part of Technical Success, is focused on enabling high-impact and strategic customers and partners. They collaborate closely to resolve technical challenges, provide deep expertise, and co-build innovative ecosystem experiences that highlight the broader advantages of partnering with OpenAI.</p>\n<p><strong>About the role</strong></p>\n<p>We’re hiring a AI Deployment Engineer to help shape the next generation of OpenAI’s partner ecosystem in ChatGPT across applications and commerce. 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