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We're seeking an AI Analytics Engineer to join our Data Science & Analytics team. As a high-impact, early-career role, you will be responsible for building the canonical data infrastructure, owning critical dashboards, and enabling Marketing stakeholders to execute faster, more confident, data-driven decisions.

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You will design and maintain trustworthy data models for core marketing metrics, manage the full lifecycle from prototyping through production, and develop and govern dbt data pipelines. You will also build and optimize dashboards that deliver real-time, self-serve insights across high-priority marketing areas, drive data independence for Marketing stakeholders, and collaborate with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.

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You will serve as the primary data partner for marketing managers, demand generation teams, and leadership, translating complex data insights into clear business recommendations via dashboards, memos, and presentations. You will achieve a comprehensive mastery of Airtable's marketing data models, existing pipelines, and BI tools within the first 6 months, becoming the definitive internal expert.

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This is a genuinely AI-native role, requiring active, demonstrated daily use of AI coding tools such as Cursor, Claude, ChatGPT, and Gemini. You must provide specific, concrete examples of how these tools are integral to your work, moving beyond simple familiarity.

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XML job scraping automation by YubHub

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About the Role

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This foundational leadership role will build and lead the Enterprise Marketing Strategy & Analytics function, serving as the operating system for a rapidly scaling marketing organisation. The primary mandate is to define and measure success across all marketing programmes,from demand generation (field events, ABM, EBCs, partner co-marketing) to pipeline contribution,creating a clear line from investment to pipeline to revenue.

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Responsibilities

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Requirements

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Logistics

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Minimum education: Bachelor’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. Visa sponsorship: We do sponsor visas!

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As Director of Demand Generation at Descript, you will be responsible for defining and executing the strategy that fuels our pipeline and revenue growth across our enterprise and self-serve business lines.

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You'll bring a blend of data-driven strategy, operational rigor, and audience insight to drive measurable impact across multiple channels and audiences. Partnering closely with Product Marketing, RevOps, and Sales, you'll architect scalable programs that educate the market, position Descript as an industry leader, and deliver efficient pipeline acceleration.

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Key responsibilities include:

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We're looking for someone with:

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The base salary range for this role is $203,000-230,000.

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Shield AI is building the world's best AI pilot. As a fast-scaling defense aerospace company, we develop autonomous systems that operate in complex, contested environments to protect service members and civilians. Our mission sits at the intersection of artificial intelligence, advanced hardware, and national security. We are expanding our international go-to-market footprint and investing in strategic growth markets, including India.

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The Senior Field Marketing Manager, India will establish and execute field marketing across India's defense and government ecosystem. This leader will drive account-based marketing programs, support strategic capture efforts, and generate measurable pipeline impact in close partnership with regional sales and business development teams.

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This is a hands-on role in a high-growth environment. The ideal candidate is equally comfortable developing account strategies and executing field programs, thrives in complex government sales environments, and understands how to align marketing efforts with long-cycle defense procurement processes. This role reports to the VP of Global Field Marketing and Events.

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Responsibilities:

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Required qualifications:

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Preferred qualifications:

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The Role ================ Product Owner, Growth (AI-First) The Role Belongs growth constraint is supply. Every homeowner who activates on the platform adds a home to the network, creates a resident opportunity, and moves Belong closer to the profitability inflection that defines the next chapter of the company.

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The homeowner funnel, from first impression through signed agreement and activated listing, is the highest-leverage product surface in the business. Most growth product roles are about optimizing what already exists: faster page loads, shorter forms, better copy. This role is about building something structurally different.

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Belong's homeowner acquisition funnel is being rebuilt as an AI-native system: conversational intake powered by LLMs, personalized onboarding that adapts dynamically to each homeowner's financial profile, predictive scoring that routes the right lead to the right moment in the Advisor workflow, and agentic follow-up that replaces manual sequences with intelligent, context-aware outreach.

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The target is a funnel that learns, where every interaction generates signal that makes the next interaction more likely to convert. As Product Owner, Growth, you are the person building that system. You own the homeowner acquisition and activation funnel end to end, from first contact to listed home.

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Responsibilities ================

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AI-native intake and qualification layer

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The first interaction a homeowner has with Belong, whether via belonghome.com, a paid channel, or a referral, is where trust is either established or lost. You will build conversational intake flows powered by LLMs that qualify, capture, and begin converting leads in real time.

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These are not chatbots with decision trees. They are context-aware systems that understand the difference between a cashflow-positive homeowner who wants yield optimization and a cashflow-negative homeowner who needs a path to profitability, and adapt the conversation, the framing, and the call-to-action accordingly.

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Personalized onboarding and trust architecture

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A homeowner considering Belong is anxious. They are considering handing over their most valuable asset to a platform they found online. Conversion at this stage is not a UX problem. It is a trust architecture problem.

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You will design onboarding sequences that adapt dynamically based on homeowner attributes: property type, cashflow profile, prior rental history, risk signals, and behavioral signals from in-session activity.

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You will use LLMs to generate personalized content, market analyses, improvement ROI estimates, comparable listings, that makes the value proposition concrete and specific to their home, not generic.

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Predictive lead scoring and Advisor routing

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Belong's Advisors are the trust-critical human touchpoint in the homeowner funnel. Their time is finite and high-value. You will build the predictive infrastructure that scores every lead on conversion likelihood, property quality, and fit with Belong's ICP, and routes leads to Advisors with the context they need to have the right conversation immediately.

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You will work with data science to train and evaluate these models, with RevOps to deploy them into the Salesforce workflow, and with Sales leadership to validate signal quality against actual close rates.

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Agentic follow-up and nurture sequences

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Most leads do not convert on the first contact. Today, nurture is a sequence of templated emails. The target state is an AI agent that monitors lead behavior, page views, document opens, return visits, session signals, and generates contextually appropriate, personalized outreach at the right moment, with the right frame, without a human initiating every touchpoint.

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You will define the agent's decision logic, build the context retrieval pipeline, instrument the output quality, and iterate on conversion impact week over week.

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Funnel instrumentation and the learning loop

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An AI-native funnel without rigorous instrumentation is a black box. You will build the measurement architecture that makes every conversion decision traceable: which intake flow variant produced the lead, which scoring model routed it, which agent-generated touchpoint influenced the next action, which Advisor framing closed it.

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You will design the feedback loops that push conversion signal back into model evaluation, prompt improvement, and scoring recalibration. The funnel gets smarter every week or it is not an AI-native funnel.

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The activation gap: agreement to listed home

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Signing the agreement is not growth. A listed home is growth. The conversion from signed agreement to activated listing is a product problem with high leverage: homeowners who do not complete inspection scheduling, who abandon the improvement process, or who sit in the pipeline without a live listing represent real lost revenue.

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You will own the product layer that closes this gap, including AI-assisted improvement planning, proactive homeowner communication anchored to their cashflow profile, and predictive identification of homeowners at risk of churning before listing.

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The AI Stack You Will Work With ===========================

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What Success Looks Like ====================== 90 days: The funnel is fully instrumented from first click to activated listing with conversion rates and drop-off points visible at each stage. An AI-assisted intake flow is in production and being tested against the baseline.

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6 months: Lead-to-listing conversion is measurably above baseline. AI is integrated at a minimum of 3 funnel touchpoints with documented conversion impact per touchpoint. Advisor routing is scored, and the correlation between score and close rate is being tracked.

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Year 1: The majority of homeowner outreach between first contact and agreement signing is AI-generated, with human Advisors focusing exclusively on trust-critical call moments. CAC on the supply side is trending down. Time-to-activation is compressing quarter over quarter.

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Example KPIs You Will Be Held To ==================================

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Who You Are ============ AI systems builder, not AI enthusiast. You have shipped LLM-powered product features in production. You understand prompt engineering, retrieval quality, latency tradeoffs, output evaluation, and model feedback loops. You think about AI systems the way a statistician thinks about models: with explicit assumptions, known failure modes

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XML job scraping automation by YubHub

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We're looking for a strategic, hands-on Marketing Operations leader who knows how to make marketing programs work at scale. You'll sit at the centre of our campaigns, data, and technology — ensuring that the right audiences get the right campaigns at the right time across our B2C and B2B businesses.

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This is a high-impact role for someone who is equally comfortable designing operational frameworks and rolling up their sleeves to execute — whether that's orchestrating a multi-channel campaign, refining our lead scoring model, or partnering with Data to make sure our marketing signals are clean and actionable.

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You'll collaborate closely with MarTech, Data, RevOps, and the broader marketing teams across the organisation to turn strategy into execution across email, push, in-app, web, product, brand, lifecycle, and demand generation programs.

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In This Role You Will:

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Own process, orchestration, and enablement across campaigns

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Optimise and customise our martech stack to support campaign execution

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Ensure proper reporting and measurement

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Be marketing's lead partner to the Data team

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Support lead management, scoring, and funnel operations

\n\n

Required Skills & Experience:

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Full-Time Employee Benefits Include:

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Lead to Opportunity, Data Systems Engineer

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Location

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San Francisco

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Employment Type

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Full time

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Department

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Finance

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Compensation

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

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Benefits

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About the team

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OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

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In pursuit of this mission, our Enterprise Platform team is responsible for enabling our Sales teams as they help customers deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Customer Success, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

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About the role

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Our GTM team exists to help customers understand the transformational potential of OpenAI’s models, and we believe our own systems should reflect that same intelligence. We’re looking for a Salesforce Engineer to partner with Growth, Marketing, and Sales to build systems that power customer engagement, lifecycle activation, and pipeline creation—supported by strong data enrichment and orchestration across the GTM stack.

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In this role, you'll:

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You might thrive in this role if you have:

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Nice to Have

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About OpenAI

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OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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