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About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Team:
The Development Fleet Operations team is responsible for the safe testing and operation of the newest technologies. As an Operations Specialist you will contribute to the daily driving and testing of autonomous trucks, own the safety of the operation, and provide feedback on system performance and behaviors while hauling commercial freight.
Responsibilities:
Qualifications & Safety Standards:
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.
Ready to apply?
Apply to Stack AV
ABOUT HUT 8
Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world’s largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you’re an ambitious individual looking for a career that is as rewarding as it is challenging, you’ve come to the right place.
ABOUT THE WORK ENVIRONMENT
This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
WHAT MAKES HUT 8 A GREAT PLACE TO WORK
Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality.
At Hut 8, you will have the opportunity to:
▶ Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting
▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government
▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team
▶ Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure
Ready to apply?
Apply to Hut 8
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We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.
Lead the search program end-to-end
Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.
Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).
Apply AI to scale performance and quality
Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.
Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.
Build a rigorous testing framework
Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.
Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.
Elevate measurement and signal quality
Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.
Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC
Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.
Drive geo precision and market governance
Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.
Orchestrate SEO/AEO/Social Search convergence
Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.
Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.
Cross-functional and partner leadership
Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.
Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.
Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.
Document and scale
Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.
7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.
Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.
Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.
Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.
Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.
Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.
Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.
Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).
Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.
Ownership mindset with flexibility to switch between strategy and hands-on execution.
Experience in real estate, fintech/proptech, or performance-driven consumer brands.
Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic
Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.
Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.
Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline
Brand vs. non-brand efficiency; impression share/share of voice.
Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.
Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection
Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.
Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees. All compensation parameters are based on experience.
Ready to apply?
Apply to Opendoor
We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.
Lead the search program end-to-end
Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.
Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).
Apply AI to scale performance and quality
Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.
Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.
Build a rigorous testing framework
Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.
Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.
Elevate measurement and signal quality
Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.
Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC
Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.
Drive geo precision and market governance
Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.
Orchestrate SEO/AEO/Social Search convergence
Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.
Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.
Cross-functional and partner leadership
Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.
Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.
Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.
Document and scale
Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.
7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.
Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.
Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.
Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.
Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.
Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.
Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.
Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).
Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.
Ownership mindset with flexibility to switch between strategy and hands-on execution.
Experience in real estate, fintech/proptech, or performance-driven consumer brands.
Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic
Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.
Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.
Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline
Brand vs. non-brand efficiency; impression share/share of voice.
Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.
Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection
Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.
Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees. All compensation parameters are based on experience.
Ready to apply?
Apply to Opendoor
About the Role
The Listing Partner Manager leads a team of licensed Listing Partners (LPs) who serve as the single point of contact for buyers' agents from offer through close on Opendoor-owned resale homes.
You'll be responsible for hitting market-level sales and experience targets by coaching LPs on negotiation, pipeline management, and escalation discipline, while partnering cross-functionally with Pricing, Homes, Title & Escrow, Brokerage, and Product/Tooling to remove friction from the resale process.
If you thrive in a metrics-driven, high-volume environment, love coaching sales talent, are energized by building from scratch, and are excited to shape the future of Opendoor's resale business — this role is for you.
What You'll Do
Team Leadership & Performance
Operational Excellence
Coaching on Negotiation & Escalations
Cross-Functional Partnership
People, Culture & Licensing
Who You Are
What You'll Bring
Experience
Licensing
Skills
Work Style
Ready to apply?
Apply to Opendoor
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