Engineering Geology Notes Pdf Jobs in Berkeley, CA
582 positions found — Page 44
J
Backend Engineer, Distributed Systems
🏢 Jobot
Salary not disclosed
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: $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, 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
Not Specified
J
Backend Engineer, Distributed Systems (Ruby)
🏢 Jobot
Salary not disclosed
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: $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
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
Not Specified
Staff Data Scientist - Post Sales
🏢 Harnham
Salary not disclosed
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.
Not Specified
W
Product Manager, Streaming Intelligence
Salary not disclosed
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.
Not Specified
Staff Data Scientist - Sales Analytics
🏢 Harnham
Salary not disclosed
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.
Not Specified
C
Senior Application Developer - ERP Systems
Salary not disclosed
Senior Engineer – ERP Application Support (Finance & HR)
The Center for Elders' Independence is a PACE (Program of All-Inclusive Care for the Elderly) organization (PO) that uses an interdisciplinary team approach for care planning and implementing purposeful, high quality, affordable, and integrated health care services to the elderly. Our elderly meet PACE requirements as prescribed by CMS and are referred to as participants. Our PO includes Adult Day Health Centers and primary care clinics, promoting participant autonomy, quality of life, and the ability for individuals to live in their communities.
The Position: We are seeking a Senior Engineer – ERP Application Support to provide day-to-day operational support, configuration, and issue resolution for ERP systems supporting Finance and HR functions. This role focuses on system stability, user support, and reliable execution of approved changes to ensure ERP applications effectively support business operations.
The Senior Engineer works closely with Finance stakeholders, vendors, and the Principal Application Developer (Enterprise Systems) to implement changes, resolve issues, and maintain reliable ERP system operations.
The salary range for the Senior Engineer at Center For Elders Independence is $93,850 - $140,744 per year. Wages/salary are based on the market for the Senior Engineer, as well as experience, skills, abilities and work history
Key Responsibilities:
- Work closely with Finance, HR, business analysts, vendors, and IT partners to understand operational needs and application issues. Provide timely support and solutions that align with established application designs and business requirements.
- Provide hands-on support for ERP applications, including configuration changes, user access management, workflow adjustments, and routine system maintenance. Execute approved enhancements and fixes under the guidance of senior technical leadership.
- Support ERP-related integrations with other enterprise systems such as EMR, CRM, banking platforms, and third-party vendors. Validate data accuracy and completeness for inbound and outbound integrations, escalating issues to platform or senior engineering teams as appropriate.
- Monitor ERP application health and performance. Troubleshoot and resolve application issues, incidents, and data discrepancies, serving as an escalation point for complex operational problems.
- Ensure ERP applications are operated in compliance with security policies, healthcare regulations, and internal controls. Support audits and compliance reviews by providing documentation and system evidence as required.
- Maintain technical and operational documentation for ERP configurations, workflows, and support procedures.
- Provide user support, training assistance, and guidance to Finance and HR staff.
- Assist with knowledge transfer and onboarding for new application support staff.
Education & Experience:
- Associate's degree in Computer Science, Information Technology, Finance, or a related field.
- 5+ years of experience in ERP application support, configuration, or enterprise application operations.
- Proven experience supporting financial or HR systems in a regulated environment.
- Experience working with vendors and third-party service providers.
- Technical Skills
- Strong hands-on experience supporting ERP systems for Finance and HR.
- Working knowledge of SQL for data validation and troubleshooting.
- Familiarity with application integrations and data flows across enterprise systems.
- Basic scripting skills (e.g., Python or JavaScript) for automation or issue resolution.
- Familiarity with healthcare interoperability concepts (HL7 / FHIR) from a support or validation perspective.
- Strong analytical and problem-solving skills.
- Clear communication skills for working with business users and technical teams.
Center for Elders' Independence is a PACE (Program of All-Inclusive Care for the Elderly) organization that uses an interdisciplinary team approach to care planning and care implementation for the purpose of providing high quality, affordable, integrated health care services to the elderly, including an Adult Day Health Center, and promoting autonomy, quality of life, and the ability of individuals to live in their communities. Unlike other healthcare plans, CEI is not a "fee-for-service" plan. It is a capitation healthcare plan in which CEI is paid a set amount for each participant enrolled.
Not Specified
M
Real Estate Services Coordinator
Salary not disclosed
Title: Real Estate Services Coordinator Location: San Francisco, CA (Onsite) Duration: 3+ Months Hours: Monday Friday, 8:00 AM 5:00 PM Pre Screening Questions: Please highlight account experience, work order system, customer service experience Summary The Real Estate Services Coordinator will be responsible for supporting all aspects of property management operations, including tenant relations, work order coordination, and administrative tasks.
This role requires excellent communication skills, attention to detail, and the ability to provide professional customer service.
Typical Day-to-Day Responsibilities Respond to tenant emails professionally and in a timely manner, ensuring excellent customer service.
Manage and track tenant requests and add them to the calendar as needed.
Coordinate tenants move-ins and move-outs.
Communicate and collaborate with building security, janitorial, and engineering teams.
Review and redispatch work orders as necessary.
Answer and route phone calls; escalate issues when required.
Perform general administrative duties within the building office.
Handle basic accounting or reporting tasks as assigned.
Must-Have Skills Proficiency in Microsoft Office Suite (Outlook, Excel, Word).
Strong customer service and communication skills.
Ability to follow established processes and maintain organization.
Computer savvy and comfortable with digital tools.
Financials-Processing invoices & Tenant invoices.
General ledger knowledge.
Nice-to-Have Skills Experience with accounting systems such as Yardi or Oracle.
Prior experience in commercial real estate or property management.
Familiarity with work order management systems.
Experience Minimum of 2 years in a related administrative, real estate, or property management role.
Education Associate s degree preferred.
Software Skills Microsoft Office Suite (Outlook, Excel, Word).
Interview Process Virtual and Onsite interviews.
Metasys Technologies is an equal opportunity employer.
All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.
This role requires excellent communication skills, attention to detail, and the ability to provide professional customer service.
Typical Day-to-Day Responsibilities Respond to tenant emails professionally and in a timely manner, ensuring excellent customer service.
Manage and track tenant requests and add them to the calendar as needed.
Coordinate tenants move-ins and move-outs.
Communicate and collaborate with building security, janitorial, and engineering teams.
Review and redispatch work orders as necessary.
Answer and route phone calls; escalate issues when required.
Perform general administrative duties within the building office.
Handle basic accounting or reporting tasks as assigned.
Must-Have Skills Proficiency in Microsoft Office Suite (Outlook, Excel, Word).
Strong customer service and communication skills.
Ability to follow established processes and maintain organization.
Computer savvy and comfortable with digital tools.
Financials-Processing invoices & Tenant invoices.
General ledger knowledge.
Nice-to-Have Skills Experience with accounting systems such as Yardi or Oracle.
Prior experience in commercial real estate or property management.
Familiarity with work order management systems.
Experience Minimum of 2 years in a related administrative, real estate, or property management role.
Education Associate s degree preferred.
Software Skills Microsoft Office Suite (Outlook, Excel, Word).
Interview Process Virtual and Onsite interviews.
Metasys Technologies is an equal opportunity employer.
All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.
Not Specified
J
Patent Prosecution Team Attorney
🏢 Jobot
Salary not disclosed
Patent Prosecution Attorney Role | Software & Emerging Tech | Multiple U.S.
Offices This Jobot Job is hosted by: Dana Paulo Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $220,000 per year A bit about us: We are a leading Electronics & Software patent prosecution team supporting innovative technology companies across industries including AI, cloud computing, cybersecurity, mobile applications, and data systems.
Our attorneys are deeply technical, highly collaborative, and trusted partners to our clients in developing strategic, business-focused patent portfolios.
Why join us? This role is designed for patent attorneys who enjoy sophisticated prosecution work but are looking for a long-term, sustainable alternative to the traditional partnership track.
You’ll work on cutting-edge technologies, collaborate with experienced practitioners, and maintain strong client relationships — all while benefiting from a lower billable requirement, geographic flexibility, and a culture that values quality, collaboration, and balance.
Job Details Job Details: We are seeking an experienced Patent Prosecution Team Attorney to join our dynamic legal team.
This position offers an exciting opportunity to work on cutting-edge technologies with a focus on software technologies, artificial intelligence (AI), cloud computing, cybersecurity, encryption, and portfolio development.
The successful candidate will play a critical role in managing our client's patent portfolios, advising on intellectual property matters, and ensuring the protection of our client's inventions and ideas.
This position is ideally based in Denver, CO or San Francisco, CA.
The firm may also consider candidates located in the following offices: Atlanta, GA, Menlo Park, CA, Raleigh, NC, Seattle, WA, Walnut Creek, CA, Washington, DC Location flexibility is available for the right candidate, depending on experience and practice alignment.
Responsibilities: Draft and prosecute patent applications for a broad range of inventions in areas such as software technologies, AI, cloud computing, cybersecurity, and encryption.
Respond to office actions from patent offices around the world.
Conduct patentability, freedom-to-operate, and infringement analyses.
Provide strategic advice for patent portfolio development and management.
Counsel clients on a variety of intellectual property matters, including patent strategy, portfolio analysis, and patent prosecution.
Collaborate with technical experts to understand our client's technologies and business goals.
Conduct legal research and stay updated on recent case laws and developments in areas related to software technologies, AI, cybersecurity, and encryption.
Prepare and deliver presentations and training to clients on intellectual property matters.
Qualifications: Juris Doctor (JD) degree from an accredited law school.
Admitted to practice before the U.S.
Patent and Trademark Office.
Minimum of 3 years of experience in patent prosecution, preferably in the areas of software technologies, AI, and cloud computing.
Bachelor’s or higher degree in computer science, electrical engineering, or a related field.
Strong technical understanding of software technologies, AI, cloud computing, cybersecurity, and encryption.
Proven experience in drafting patent applications and responding to office actions.
Excellent technical writing skills with the ability to simplify complex concepts.
Strong client counseling and communication skills.
Ability to work independently and collaboratively in a team-oriented environment.
Demonstrated ability to manage multiple projects, prioritize tasks, and meet deadlines.
Strong commitment to professional development and continuous learning.
High ethical standards and professional integrity.
This is an exciting opportunity to be at the forefront of patent law in the rapidly evolving technology sector.
If you are a seasoned patent attorney with a passion for innovation and technology, we encourage you to apply.
Please send interest and transcripts to /> 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
Offices This Jobot Job is hosted by: Dana Paulo Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $220,000 per year A bit about us: We are a leading Electronics & Software patent prosecution team supporting innovative technology companies across industries including AI, cloud computing, cybersecurity, mobile applications, and data systems.
Our attorneys are deeply technical, highly collaborative, and trusted partners to our clients in developing strategic, business-focused patent portfolios.
Why join us? This role is designed for patent attorneys who enjoy sophisticated prosecution work but are looking for a long-term, sustainable alternative to the traditional partnership track.
You’ll work on cutting-edge technologies, collaborate with experienced practitioners, and maintain strong client relationships — all while benefiting from a lower billable requirement, geographic flexibility, and a culture that values quality, collaboration, and balance.
Job Details Job Details: We are seeking an experienced Patent Prosecution Team Attorney to join our dynamic legal team.
This position offers an exciting opportunity to work on cutting-edge technologies with a focus on software technologies, artificial intelligence (AI), cloud computing, cybersecurity, encryption, and portfolio development.
The successful candidate will play a critical role in managing our client's patent portfolios, advising on intellectual property matters, and ensuring the protection of our client's inventions and ideas.
This position is ideally based in Denver, CO or San Francisco, CA.
The firm may also consider candidates located in the following offices: Atlanta, GA, Menlo Park, CA, Raleigh, NC, Seattle, WA, Walnut Creek, CA, Washington, DC Location flexibility is available for the right candidate, depending on experience and practice alignment.
Responsibilities: Draft and prosecute patent applications for a broad range of inventions in areas such as software technologies, AI, cloud computing, cybersecurity, and encryption.
Respond to office actions from patent offices around the world.
Conduct patentability, freedom-to-operate, and infringement analyses.
Provide strategic advice for patent portfolio development and management.
Counsel clients on a variety of intellectual property matters, including patent strategy, portfolio analysis, and patent prosecution.
Collaborate with technical experts to understand our client's technologies and business goals.
Conduct legal research and stay updated on recent case laws and developments in areas related to software technologies, AI, cybersecurity, and encryption.
Prepare and deliver presentations and training to clients on intellectual property matters.
Qualifications: Juris Doctor (JD) degree from an accredited law school.
Admitted to practice before the U.S.
Patent and Trademark Office.
Minimum of 3 years of experience in patent prosecution, preferably in the areas of software technologies, AI, and cloud computing.
Bachelor’s or higher degree in computer science, electrical engineering, or a related field.
Strong technical understanding of software technologies, AI, cloud computing, cybersecurity, and encryption.
Proven experience in drafting patent applications and responding to office actions.
Excellent technical writing skills with the ability to simplify complex concepts.
Strong client counseling and communication skills.
Ability to work independently and collaboratively in a team-oriented environment.
Demonstrated ability to manage multiple projects, prioritize tasks, and meet deadlines.
Strong commitment to professional development and continuous learning.
High ethical standards and professional integrity.
This is an exciting opportunity to be at the forefront of patent law in the rapidly evolving technology sector.
If you are a seasoned patent attorney with a passion for innovation and technology, we encourage you to apply.
Please send interest and transcripts to /> 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
Not Specified
S
Automotive Mechanic
Salary not disclosed
Stewart Automotive Group currently has an opening for an Automotive Mechanic and is looking for someone who is willing to grow in their automotive career.
Stewart Automotive has been a family owned dealership since 1933 and is looking for someone to join and grow in their family.
Knowledge; Skills and Abilities: Ability to perform general maintenance Perform repairs on brakes, suspension, steering components Perform diag/repairs on different types of engines and transmission.
Able to properly diagnosis electrical and drivability concerns Work on gas and diesel vehicles.
We are also looking for entry level technicians (lube technician): primary responsibilities will be to perform maintenance on vehicles (oil changes, fluid services, tire rotation, tire replacements, etc), perform new vehicle inspections Valid CA Driver License with a clean driving record 3-5 years of automotive experience ASE Certified is a plus but not a requirement Ability to work independently, but also assist other technicians when needed Able to lift 50 + pounds at a time Provide your own tools Must perform online and in class studies in order to keep up to date with all Chrysler Products.
Benefits: Competitive Pay + bonuses Paid holidays 401K; Medical/Dental Coverage, Sick Pay (after probation period) APPLY NOW
Stewart Automotive has been a family owned dealership since 1933 and is looking for someone to join and grow in their family.
Knowledge; Skills and Abilities: Ability to perform general maintenance Perform repairs on brakes, suspension, steering components Perform diag/repairs on different types of engines and transmission.
Able to properly diagnosis electrical and drivability concerns Work on gas and diesel vehicles.
We are also looking for entry level technicians (lube technician): primary responsibilities will be to perform maintenance on vehicles (oil changes, fluid services, tire rotation, tire replacements, etc), perform new vehicle inspections Valid CA Driver License with a clean driving record 3-5 years of automotive experience ASE Certified is a plus but not a requirement Ability to work independently, but also assist other technicians when needed Able to lift 50 + pounds at a time Provide your own tools Must perform online and in class studies in order to keep up to date with all Chrysler Products.
Benefits: Competitive Pay + bonuses Paid holidays 401K; Medical/Dental Coverage, Sick Pay (after probation period) APPLY NOW
Not Specified
J
AI Forward Deployed Software Engineer - ON SITE 5 DAYS
🏢 Jobot
Salary not disclosed
Seeking a Forward Deployed Software Engineer
- API, scripting, and shipping This Jobot Job is hosted by: Cam Strahm Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $200,000
- $250,000 per year A bit about us: Early-stage AI B2B SaaS startup based in San Francisco building an automation-first AI platform for IT Why join us? Impact: Be the driving force behind our revenue growth, shaping the success of our product and company.
Growth: Be a founding.
Elevate your career in tandem with our rapid expansion.
Culture: Join a fast-paced team that values velocity, high performance, and fun.
Compensation: Competitive salary, equity, and a comprehensive benefits package.
Job Details 2+ years of experience in an engineering role, ideally with close customer interaction (e.g., Product Engineer, Forward Deployed Engineer).
Technical Aptitude: Comfortable working with APIs, scripting, and shipping production code to configure solutions and troubleshoot issues.
Customer-Focused Mindset: Track record of successfully guiding customers from pilot to launch, with a genuine passion for customer satisfaction.
Self-Motivated & Adaptable: Excited to thrive in a fast-paced, early-stage environment—ready to pivot quickly and handle multiple priorities.
Strong Communication Skills: Capable of translating complex technical concepts to both technical and non-technical stakeholders.
Problem-Solving Approach: Scrappy and creative in finding quick, effective solutions to technical challenges.
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
- API, scripting, and shipping This Jobot Job is hosted by: Cam Strahm Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $200,000
- $250,000 per year A bit about us: Early-stage AI B2B SaaS startup based in San Francisco building an automation-first AI platform for IT Why join us? Impact: Be the driving force behind our revenue growth, shaping the success of our product and company.
Growth: Be a founding.
Elevate your career in tandem with our rapid expansion.
Culture: Join a fast-paced team that values velocity, high performance, and fun.
Compensation: Competitive salary, equity, and a comprehensive benefits package.
Job Details 2+ years of experience in an engineering role, ideally with close customer interaction (e.g., Product Engineer, Forward Deployed Engineer).
Technical Aptitude: Comfortable working with APIs, scripting, and shipping production code to configure solutions and troubleshoot issues.
Customer-Focused Mindset: Track record of successfully guiding customers from pilot to launch, with a genuine passion for customer satisfaction.
Self-Motivated & Adaptable: Excited to thrive in a fast-paced, early-stage environment—ready to pivot quickly and handle multiple priorities.
Strong Communication Skills: Capable of translating complex technical concepts to both technical and non-technical stakeholders.
Problem-Solving Approach: Scrappy and creative in finding quick, effective solutions to technical challenges.
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
Not Specified
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