Engineering Structures Jobs in San Francisco
518 positions found — Page 36
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $100,000
- $110,000 per year A bit about us: Our client is redefining what it means to feel at home—whether you’re traveling for business, leisure, or something in between.
They’ve built a technology-powered hospitality platform that transforms apartments, hotels, and unique properties into stylish, reliable stays across the country.
By combining the consistency of a trusted brand with the charm of local living, they make travel seamless, flexible, and accessible for modern guests.
At their core, they’re problem-solvers: using data, design, and hospitality expertise to make every stay frictionless.
Their approach blends high-tech automation with human-centered service, allowing them to scale quickly while still delivering warm, thoughtful guest experiences.
We’re proud to partner with a team that’s not only changing the landscape of modern hospitality but also deeply values innovation, collaboration, and creating opportunities for growth.
Why join us? Joining this team means being part of a fast-growing, venture-backed company with a bold vision: to revolutionize how people experience travel and hospitality.
You’ll work alongside passionate builders, innovators, and operators who thrive at the intersection of real estate, technology, and guest experience.
Here’s why people love working here: Impactful Work: Your contributions directly shape how thousands of guests experience travel every day.
Innovation-Driven Culture: You’ll collaborate with people who embrace technology and creative problem-solving.
Growth Opportunities: With rapid expansion nationwide, there’s endless room for personal and professional development.
Flexibility & Autonomy: They value ownership and trust—giving you the freedom to do your best work.
Mission with Heart: At the end of the day, it’s all about creating meaningful, memorable experiences for guests and partners.
Job Details As an AI Automation Specialist, you’ll drive operational efficiency by identifying, designing, and implementing intelligent automation solutions across the organization.
You’ll partner with leaders in Operations, Finance, HR, Guest Services, and more—bridging business needs with technical implementation.
You’ll leverage AI tools, automation platforms, and system integrations to eliminate repetitive tasks, reduce human error, and unlock scalability.
From API integrations to multi-step workflow design, you’ll be at the forefront of transforming how the business operates.
What You’ll Do Identify workflow bottlenecks and design automation solutions to improve efficiency.
Build and maintain integrations (APIs, webhooks) that connect systems and create seamless data flows.
Implement modern orchestration platforms (Zapier, n8n, Make, etc.) for multi-step workflows.
Deploy AI-powered automations to enhance decision-making and data processing.
Develop monitoring dashboards and alerting systems for process performance.
Collaborate with engineering teams on scalable technical implementations.
Document, train, and evangelize automation best practices across teams.
Track metrics like time saved, error reduction, and productivity improvements.
What They’re Looking For Process Optimizer: You see inefficiencies and naturally think about smarter, automated ways to solve them.
Technical Fluency: Strong experience with Python, SQL, APIs, and system integrations.
Automation Toolkit: Skilled with orchestration platforms (Zapier, n8n, Make, etc.).
AI Enthusiast: Experience applying AI tools to workflow automation.
Communicator: Able to explain technical solutions to non-technical audiences.
Collaborator: Comfortable working across departments and with engineering teams.
Adaptable: Thrive in a dynamic, high-growth environment.
Preferred Qualifications 4+ years in automation engineering, BI, or technical operations.
Hands-on experience with APIs, REST/GraphQL integrations, and data pipelines.
Experience implementing automations across multiple business functions.
Familiarity with cloud services and orchestration design patterns.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
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Salary: $80
- $150 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical.
You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research → production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10–15 years of experience in data science, econometrics, or advanced analytics Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical— hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $80
- $200 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical.
You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research → production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10–15 years of experience in data science, econometrics, or advanced analytics Experience in US Healthcare
- with Clinical Asset Management Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical— hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Responsibilities:
- Ensure all design control activities for new and updated products meet company procedures and global regulatory requirements.
- Lead risk management activities, including hazard analysis, FMEAs, and risk documentation.
- Support sterilization and biocompatibility assessments.
- Own and maintain design control documentation.
- Partner with R&D, Regulatory, Manufacturing, and Project Management to ensure quality is built into every stage of product development.
- Maintain accurate test, validation, and risk records and report progress to leadership.
- Support regulatory submissions (e.g., 510(k), CE Mark).
- Lead root cause investigations and corrective actions related to design issues.
- Support complaint investigations, nonconformances, and CAPAs after product launch.
- Conduct DHF audits to ensure phase completion requirements are met.
- Review and approve engineering documents and test reports.
- Identify opportunities to improve product quality, reduce cost, and increase efficiency.
Requirements
- Bachelor’s degree in Engineering or related field.
- 10+ years of quality engineering experience in medical devices, including new product launches.
- Experience with sterilization and biocompatability
- Strong knowledge of design controls, risk management, and medical device regulations (FDA, ISO, IEC).
- Experience with verification & validation (V&V) and FMEAs.
- Strong problem-solving and statistical analysis skills (e.g., Minitab, JMP).
- Detail-oriented with strong documentation skills.
- Quality certifications (CQE, CSQE, Six Sigma) are a plus.
Salary: $150,000
- $180,000 per year A bit about us: Our client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows.
Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient.
This is production software.
Failures matter.
Observability is required.
Ownership is non-negotiable.
For the past decade, we’ve mastered deploying autonomous agents in one of the most tightly controlled industries — even engineering ways to operate without APIs in systems designed to resist automation.
Today, we’re building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously.
By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work.
This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, reshape how work is done, and endure.
We are a lean, bootstrapped team operating 15+ customer systems at scale.
Every engineer carries meaningful responsibility.
We are self-sustaining and control our financial destiny.
Why join us? Big impact – Join a core team where your code directly affects users and outcomes.
Hands-on autonomy – You’ll own projects end-to-end and help shape system architecture from the ground up.
Smart, no-fluff culture – Work with a team that values clarity, extreme ownership, and fast iteration.
Mission-driven – Build tools that help community banks compete in a world of megafintech.
Startup agility – Ship daily.
Influence product.
Leave a legacy.
If you like building durable, production-grade systems that solve real problems—and doing it alongside talented engineers who care deeply about their craft—this is the place.
Job Details The Role (Read-Carefully): This is a hands-on, senior individual contributor role on a small, high-throughput platform team.
You will own and operate real production systems.
You will ship to production early.
You will be on-call for the systems you touch.
You will be expected to design your part well — and live with the consequences.
This role is not about exploration, endless design, or theoretical elegance.
It is about turning ambiguity into working systems under pressure.
If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job.
What You Will Do: Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable): Strong backend experience in any modern language (Ruby, Python, Go, Java, etc.) Ability and willingness to learn Ruby if it is new to you Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership “I was part of the team” without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team.
Real ownership.
We ship frequently.
We design for failure.
We expect engineers to understand how their code behaves in production.
We value clarity, judgment, and durability over polish.
Feedback is direct.
Responsibility is real.
The Reality Check This is a small tiger team.
Long hours at times.
Occasional weekends.
Ambiguous problems.
Little guidance.
Solo ownership.
Average pay.
High responsibility.
Failure is possible.
In return: Meaningful ownership Recognition The chance to build systems that matter — and last Growth Path This role is already senior in responsibility.
Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $150,000
- $180,000 per year A bit about us: Our Client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows.
Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient.
This is production software.
Failures matter.
Observability is required.
Ownership is non-negotiable.
For the past decade, we’ve mastered deploying autonomous agents in one of the most tightly controlled industries — even engineering ways to operate without APIs in systems designed to resist automation.
Today, we’re building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously.
By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work.
This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, re-shape how work is done, and endure.
We are a lean, bootstrapped team operating 15+ customer systems at scale.
Every engineer carries meaningful responsibility.
We are self-sustaining and control our financial destiny.
Why join us? Big impact – Join a core team where your code directly affects users and outcomes.
Hands-on autonomy – You’ll own projects end-to-end and help shape system architecture from the ground up.
Smart, no-fluff culture – Work with a team that values clarity, extreme ownership, and fast iteration.
Mission-driven – Build tools that help community banks compete in a world of megafintech.
Startup agility – Ship daily.
Influence product.
Leave a legacy.
If you like building durable, production-grade systems that solve real problems—and doing it alongside talented engineers who care deeply about their craft—this is the place.
Job Details The Role (Read-Carefully) This is a hands-on, senior individual contributor role on a small, high-throughput platform team.
You will own and operate real production systems.
You will ship to production early.
You will be on-call for the systems you touch.
You will be expected to design your part well — and live with the consequences.
This role is not about exploration, endless design, or theoretical elegance.
It is about turning ambiguity into working systems under pressure.
If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job.
What You Will Do Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable) Strong Ruby fundamentals as a design tool (encapsulation, boundaries, responsibility), not just syntax Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership “I was part of the team” without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team.
Real ownership.
We ship frequently.
We design for failure.
We expect engineers to understand how their code behaves in production.
We value clarity, judgment, and durability over polish.
Feedback is direct.
Responsibility is real.
The Reality Check This is a small tiger team.
Long hours at times.
Occasional weekends.
Ambiguous problems.
Little guidance.
Solo ownership.
Average pay.
High responsibility.
Failure is possible.
In return: Meaningful ownership Recognition The chance to build systems that matter — and last Growth Path This role is already senior in responsibility.
Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Staff Data Scientist – Post Sales
Location: San Francisco (Hybrid)
Salary: $200–250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth.
About the Role
As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.
Key Responsibilities
- Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
- Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
- Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
- Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
- Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
- Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
- Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.
About You
- Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
- Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
- Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
- Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
- Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
- Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.
Company Description
Whissle is bridging the missing link in multi-modal AI. We are moving beyond the slow, broken "turn-based" experience of current AI solutions to pioneer Streaming Intelligence. Our platform continuously interprets meaning from live multi-modal input streams (voice, text, visual) to trigger instant, contextual actions and achieve faster task completion. This zero-wait, real-time approach creates a hands-free, hyper-personalized, and ambient interaction experience.
Role Description
As the VP of Product, Streaming Intelligence, you will be the definitive product owner and strategist for Whissle's core technology and APIs. Your mission is to define, prioritize, and drive the execution of a product roadmap that capitalizes on our Streaming Intelligence differentiator.
You will work closely with the CEO, the AI/ML, and Software Engineering teams to transform our advanced models into scalable enterprise solutions.
Product Strategy & Vision
- Own the Streaming Intelligence Vision: Define the long-term product strategy on Advanced Streaming Intelligence for speech, text, and visual input streams.
- Platform Roadmap Leadership: Develop and execute the product roadmap for the Intelligence-API and the Ambient-BOT platform components.
- Monetization & Market Expansion: Identify and prioritize the next categories of consumer and enterprise applications—from hyper-personalized search to audio-visual NPC controls—that can be enabled and monetized by our zero-wait technology.
Enterprise & Execution
- Drive Enterprise Deployment: Oversee the productization and successful deployment of the platform for major enterprise clients, directly contributing to company goals.
- Domain Adapter Strategy: Guide the development of domain adapters (e.g., HR, CX, e-commerce) to facilitate specialized enterprise use cases.
- Security & Compliance as a Feature: Ensure all products meet high standards for security, data privacy, and compliance (e.g., SOC2/HIPAA), productizing features like real-time redaction and non-storage of sensitive information transmission.
Leadership and GTM
- Guide the Part-Time PM: Work in partnership with the existing Product Manager to ensure tactical execution, including the launch of the Whissle App v1 and successful paid pilot programs.
- Market Leadership: Analyze competitor activities (e.g., turn-based systems like ChatGPT, Gemini, Perplexity) and use these insights to solidify Whissle's differentiated market positioning.
Qualifications
- 10+ Years of Product Leadership experience, with a proven track record of bringing highly technical B2B/Enterprise products to market.
- Deep Technical Expertise in AI/ML, particularly in the areas of speech, language processing, signal processing, or multi-modal AI.
- Exceptional Strategic Planning skills, with prior experience scaling a product which needs real-time intelligence, broad technology skills and experience.
- Strong Business Acumen in SaaS, enterprise licensing, and API revenue models.
- Bachelor's degree in Business, Computer Science, Engineering, or a related field; a Master's or PhD is a strong plus (especially given the team's academic background).
- Experience with building startups will be preferred
Compensation
We are on-boarding visionary leadership on equity basis before we raise suitable money from investors in the loop.
Staff Data Scientist – Sales Analytics
Location: San Francisco (Hybrid)
Salary: $200–250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.
About the Role
As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.
Key Responsibilities
- Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
- Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
- Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
- Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
- Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
- Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
- Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.
About You
- Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
- Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
- Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
- Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
- Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
- Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.
CONVENTUS MISSION AND VISION
Conventus Holdings Corporation was envisioned and created to reduce the number of economic intermediaries involved in the origination, funding and investment in the $125 billion real estate bridge loan marketplace. True to the Latin origin of the company’s name, “to bring together,” CHC’s existence and strength is anchored to a business model that removes unnecessary economic intermediates so that it can provide superior pricing and service to its clients. Our competitive edge in executing our mission is assembling, nurturing, and developing a collaborative group of talented individuals. To that end, diversity of experiences, perspectives, skills, and cultures is core to our mission and team.
POSITION
Full-Time, Salaried, Performance-based bonus
LOCATION: San Francisco, CA - Required 4 days per week in the office (Mon-Thu). Please do not apply if this does not align with you.
Conventus is seeking an experienced, strategic and hands-on Managing Director, General Counsel to serve as Conventus’ Chief Legal Officer. This senior leadership role is responsible for overseeing all legal, regulatory, and compliance matters across our lending and investment operations. The ideal candidate will bring deep expertise primarily in real estate secured lending, foreclosure activity, forbearance and loss mitigation efforts, loan product creation and loan structuring, and secondarily in fund management and securities compliance, and—along with a pragmatic, business-minded approach and the ability to roll up their sleeves and execute work directly when needed
RESPONSIBILITIES
Legal Strategy & Risk Management
- Serve as the primary legal advisor to executive leadership.
- Proactively identify legal, enterprise, and regulatory risks, and implement strategies to mitigate exposure.
- Oversee litigation, disputes, and all legal matters impacting the firm’s operations.
Real Estate Lending & Transactions
- Provide legal support for originations, structuring, negotiations, and closing of residential business purpose secured lending (bridge/fix & flip, construction, DSCR and multifamily).
- Draft, review, and negotiate loan documents, guarantees, intercreditor agreements, subordination agreements, and related documentation.
- Guide origination, closing and servicing teams on due diligence, title, escrow, foreclosure, workouts, and asset recovery.
- Manage external counsel relationships (including a network of local state counsel) related to loan transactions, and enforcement matters.
- Provide internal training on real estate transactions and documentation.
Fund Management & Securities Compliance
- Oversee legal and compliance matters related to fund formation, structuring, governance, and compliance with SEC and state-level securities laws.
- Partner with compliance consultants and auditors to maintain robust compliance program related to Registered Investment Advisor activities.
- Draft and review private placement memoranda, subscription agreements, investor communications, and marketing materials.
- Support investor relations on disclosure practices and regulatory filings.
Corporate Governance
- Oversight of governance issues for Conventus and its entities, including advice on corporate structure, entity formation, and LLC, LP and corporate governance documents.
- Review and manage vendor, lending partner (such as brokers), and third-party contracts.
Compliance & Internal Controls
- Develop and maintain policies and procedures to support compliance across lending, investment, and privacy.
- Monitor and respond to changes in regulatory requirements impacting the business.
- Conduct legal due diligence and risk analysis for strategic initiatives and transactions.
- Manage adherence with, and deadlines, for compliance filings.
Internal Collaboration & External Counsel Management
- Serve as a collaborative partner to cross-functional teams, including credit & capital markets, finance and loan operations.
- Manage relationships with outside counsel for specialized legal matters and employment law, while maintaining a hands-on role in day-to-day legal work.
- Ensure compliance with federal and state lending laws.
QUALIFICATIONS
Required
- JD from an accredited law school; member in good standing with a U.S. state bar (California Bar or ability to register as In-House Counsel preferred)
- Licensed to practice in California
- 10+ years of legal experience, including meaningful in-house experience
- Experience operating in a fast-paced environment where judgment, prioritization, and responsiveness are critical
- Strong familiarity with real estate finance, commercial lending, consumer lending, or closely related products
- Breadth across legal disciplines, with the ability to support the business on commercial contracting, disputes, and other matters beyond core lending work
- Deep knowledge of lending regulations and compliance
- Experience with securitization or structured finance involving real estate-backed assets
- Hands-on approach with a willingness to engage directly in day-to-day legal work
Mindset and Character
At CHC, we look for future employees who demonstrate the mindset and character of our following core values:
Deliver Extraordinary Client Experience:
- Demonstrate unwavering responsiveness and dedication to delighting clients at every touchpoint.
Take Responsibility:
- Be proactive, know what you are responsible for, act with integrity and follow through to the end.
Respond with Urgency and Care:
- Balance speed with quality, ensuring that every response is both timely and impactful.
Grow Together:
- Grow together through a culture of intellectual curiosity, collaboration and celebration.