Engineering Geology Notes Pdf Jobs in Berkeley, CA
597 positions found — Page 45
W
Head of Legal/General Counsel @ Mission Driven SaaS Company
Salary not disclosed
Overview
Whistler Partners is partnering with to hire its first senior legal leader — a Head of Legal with the opportunity to step into a General Counsel title for the right candidate.
Owner provides a suite of tools designed to help local restaurant owners increase sales and strengthen their online presence. From mobile ordering and customer rewards to digital growth infrastructure, the platform empowers independent restaurants to compete and win. As the business expands product surfaces, navigates regulatory complexity, and enters increasingly strategic partnerships, legal leadership is now mission-critical.
This is a foundational hire at a high-growth, mission-driven SaaS company.
Why this role?
This is not an incremental legal hire. It’s a build-from-zero seat.
You will own the full legal stack — corporate, compliance, employment, IP, litigation, regulatory, and commercial — and serve as a strategic partner to the executive team. You won’t inherit a pre-built function. You’ll architect it.
Success in this role means:
- Building scalable systems from ambiguity
- Knowing when to leverage outside counsel — and when to move internally
- Acting as DRI on the company’s most sensitive initiatives
- Helping leadership move faster while strengthening risk discipline
The title is flexible and may include General Counsel for the right candidate.
This is ideal for a builder who wants true ownership, executive visibility, and the opportunity to shape Legal at a scaling technology company from day one.
Key Responsibilities
- Partner closely with Engineering, Product & Design, GTM, People, Finance, Ops, and the Executive team
- Act as strategic advisor to the CEO on negotiations, disputes, and sensitive matters
- Build and scale Owner’s Legal function as its first full-time legal hire
- Serve as DRI on litigation strategy, regulatory posture, and complex commercial agreements
- Partner with Product and Engineering to ensure new products and pricing models are built with compliance and risk minimization in mind
- Design scalable systems across contracting, compliance, governance, privacy, employment, and IP
- Manage outside counsel across corporate, regulatory, employment, and litigation matters
- Support fundraising, board matters, corporate governance, and investor communications
- Proactively identify legal risk areas and implement preventive frameworks
About You
- 8–10+ years of legal experience across law firm and in-house environments
- Broad, “full-stack” experience across commercial, corporate, compliance, IP, employment, and litigation oversight
- Builder mentality — energized by creating structure from scratch
- Strong executive presence and business judgment
- Comfortable operating in fast-moving, ambiguous environments
- Able to partner closely with product and engineering teams
- Motivated to scale and eventually build a Legal team
Compensation
$250,000 – $325,000
Owner is open to increased compensation at the General Counsel level and may stretch beyond the posted range for the right candidate.
Perks
Comprehensive health coverage, Bay Area-based remote flexibility, unlimited PTO, and additional growth-stage benefits.
Interested?
This search is being led by Wolf at Whistler Partners. Please contact them for a confidential conversation.
About Whistler Partners
Matchmakers, Not Headhunters
Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter.
We readily admit that we are elite and only work with the best – after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs.
Not Specified
Design Quality Engineer
🏢 SciPro
Salary not disclosed
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.
Not Specified
J
Product Software Developer (Full-Stack)
🏢 Jobot
Salary not disclosed
Series B Startup is looking for a Product Software Developer to join their growing team! This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $140,000
- $200,000 per year A bit about us: Growing Series-B SaaS startup with offices in NY and SF is looking for a Full-Stack Software Developer to join their dynamic team! Their team includes veterans from FAANG and successful Bay Area tech startups.
Think to Uber but for knowledge using AI to simplifying the user experience while solving highly technical challenges across search, data, recommendations, and payments.
The primary qualities we are looking for is someone who's driven, curious, and eager to learn from a few really great, experienced engineers.
Strong preference for SF or NYC-based.
Why join us? Equity, Great Benefits, Remote Flexibility (local candidates are prioritized), Growth Opportunity, Great Culture, PTO, 401K plus match, and much more! Job Details Responsibilities Build and ship impactful product features in partnership with engineering, design, and business teams.
Integrate emerging AI tools into both the platform and engineering workflows.
Enhance platform architecture and data models to ensure a high-performance, reliable user experience.
Create and maintain systems for efficient data collection, processing, storage, and retrieval.
Collaborate with cross-functional teams to streamline and integrate data workflows.
Requirements 3 or more years of experience and a track record of building and shipping high quality products and features.
Bachelor's degree in CS or related Experience in SaaS or at high-growth tech companies and interested in joining a startup Full-Stack experience with Node / TypeScript, React, and a focus on building APIs and data platforms.
Excellent problem-solving skills and attention to detail.
Ability to work in a fast-paced, collaborative environment.
Passion for making data systems observable and highly automated.
Comfortable working in fast-paced environments with evolving product requirements Knowledgeable with MongoDB, and AWS Bonus Points: Experience with search, recommendations, and/or data problem sets Kubernetes, Elasticsearch, or AI/ML tooling Expertise in designing systems for scalability, reliability, and performance.
Proficiency in relevant programming languages and frameworks.
Experience building software from scratch at a fast-growing startup with an understanding of data modeling, ontologies, and knowledge graphs.
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: $140,000
- $200,000 per year A bit about us: Growing Series-B SaaS startup with offices in NY and SF is looking for a Full-Stack Software Developer to join their dynamic team! Their team includes veterans from FAANG and successful Bay Area tech startups.
Think to Uber but for knowledge using AI to simplifying the user experience while solving highly technical challenges across search, data, recommendations, and payments.
The primary qualities we are looking for is someone who's driven, curious, and eager to learn from a few really great, experienced engineers.
Strong preference for SF or NYC-based.
Why join us? Equity, Great Benefits, Remote Flexibility (local candidates are prioritized), Growth Opportunity, Great Culture, PTO, 401K plus match, and much more! Job Details Responsibilities Build and ship impactful product features in partnership with engineering, design, and business teams.
Integrate emerging AI tools into both the platform and engineering workflows.
Enhance platform architecture and data models to ensure a high-performance, reliable user experience.
Create and maintain systems for efficient data collection, processing, storage, and retrieval.
Collaborate with cross-functional teams to streamline and integrate data workflows.
Requirements 3 or more years of experience and a track record of building and shipping high quality products and features.
Bachelor's degree in CS or related Experience in SaaS or at high-growth tech companies and interested in joining a startup Full-Stack experience with Node / TypeScript, React, and a focus on building APIs and data platforms.
Excellent problem-solving skills and attention to detail.
Ability to work in a fast-paced, collaborative environment.
Passion for making data systems observable and highly automated.
Comfortable working in fast-paced environments with evolving product requirements Knowledgeable with MongoDB, and AWS Bonus Points: Experience with search, recommendations, and/or data problem sets Kubernetes, Elasticsearch, or AI/ML tooling Expertise in designing systems for scalability, reliability, and performance.
Proficiency in relevant programming languages and frameworks.
Experience building software from scratch at a fast-growing startup with an understanding of data modeling, ontologies, and knowledge graphs.
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
permanent
J
Senior Product Manager
🏢 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
- $190,000 per year A bit about us: Our client is an early-stage Series B, venture-backed startup building the world’s first direct-to-satellite Bluetooth® network.
With applications in logistics, AgTech, and maritime, their mission is to become the first billion-endpoint-connected network in the world.
The founding team has already launched billions in space assets, raised hundreds of millions in venture funding, and built household-name IoT networks.
Now, they’re expanding the team to bring this vision to life.
Why join us? Shape the future of IoT and satellite connectivity with cutting-edge tech Competitive salary: $160K–$195K (DOE) Comprehensive health, dental, and vision coverage + HSA options Unlimited PTO & a global sabbatical program to recharge Health & wellness stipends + commuter benefits Learning & development allowance Opportunity to work in Seattle, San Francisco, or remotely in PST Job Details We’re looking for a Senior Product Manager to help lead execution across our clients core product area, including their satellite and terrestrial networks, developer platform, applications and tools, and partner solutions.
This role is about owning the “why” and the “what” of what they build, driving clarity and momentum across engineering, design, and customer teams.
You’ll work closely with leaders across hardware, firmware, software, and customer success to translate strategic goals into clear product plans and deliverables.
This is a hands-on role for a builder; someone who can move between technical detail, customer insight, and company strategy without losing momentum.
Responsibilities ● Drive execution of roadmap initiatives within one or more product areas (Network Services, Developer Platform, Applications & Tools, Partner Solutions) ● Translate strategy and technical requirements into actionable product specs, milestones, and deliverables ● Partner closely with engineering and design to ensure quality and alignment from concept to release ● Define and track success metrics tied to reliability, usability, adoption, and scale ● Gather and synthesize feedback from customers, partners, and internal teams to inform priorities ● Collaborate with program management to ensure on-time, high-quality delivery ● Communicate priorities, tradeoffs, and progress clearly across teams and leadership Qualifications ● 5–10 years of product management experience in a technical domain (connectivity, developer tools, IoT, or platform infrastructure) ● Proven ability to drive execution and ship products in cross-functional environments ● Strong technical fluency; comfort engaging with engineers across hardware, software, embedded and cloud systems ● Experience writing product specs, defining roadmaps, and aligning diverse teams ● Customer-first mindset; proven ability to connect user pain points to technical solutions ● Excellent organizational and communication skills; thrives in ambiguity and fast-paced settings ● Comfortable operating in early-stage start-up environments ● Entergetic, Hands-on, and resourceful Candidate Must-Haves U.S.
Citizenship or Green Card (ITAR requirement) Located in Seattle, San Francisco, or Remote (PST time zone) 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
- $190,000 per year A bit about us: Our client is an early-stage Series B, venture-backed startup building the world’s first direct-to-satellite Bluetooth® network.
With applications in logistics, AgTech, and maritime, their mission is to become the first billion-endpoint-connected network in the world.
The founding team has already launched billions in space assets, raised hundreds of millions in venture funding, and built household-name IoT networks.
Now, they’re expanding the team to bring this vision to life.
Why join us? Shape the future of IoT and satellite connectivity with cutting-edge tech Competitive salary: $160K–$195K (DOE) Comprehensive health, dental, and vision coverage + HSA options Unlimited PTO & a global sabbatical program to recharge Health & wellness stipends + commuter benefits Learning & development allowance Opportunity to work in Seattle, San Francisco, or remotely in PST Job Details We’re looking for a Senior Product Manager to help lead execution across our clients core product area, including their satellite and terrestrial networks, developer platform, applications and tools, and partner solutions.
This role is about owning the “why” and the “what” of what they build, driving clarity and momentum across engineering, design, and customer teams.
You’ll work closely with leaders across hardware, firmware, software, and customer success to translate strategic goals into clear product plans and deliverables.
This is a hands-on role for a builder; someone who can move between technical detail, customer insight, and company strategy without losing momentum.
Responsibilities ● Drive execution of roadmap initiatives within one or more product areas (Network Services, Developer Platform, Applications & Tools, Partner Solutions) ● Translate strategy and technical requirements into actionable product specs, milestones, and deliverables ● Partner closely with engineering and design to ensure quality and alignment from concept to release ● Define and track success metrics tied to reliability, usability, adoption, and scale ● Gather and synthesize feedback from customers, partners, and internal teams to inform priorities ● Collaborate with program management to ensure on-time, high-quality delivery ● Communicate priorities, tradeoffs, and progress clearly across teams and leadership Qualifications ● 5–10 years of product management experience in a technical domain (connectivity, developer tools, IoT, or platform infrastructure) ● Proven ability to drive execution and ship products in cross-functional environments ● Strong technical fluency; comfort engaging with engineers across hardware, software, embedded and cloud systems ● Experience writing product specs, defining roadmaps, and aligning diverse teams ● Customer-first mindset; proven ability to connect user pain points to technical solutions ● Excellent organizational and communication skills; thrives in ambiguity and fast-paced settings ● Comfortable operating in early-stage start-up environments ● Entergetic, Hands-on, and resourceful Candidate Must-Haves U.S.
Citizenship or Green Card (ITAR requirement) Located in Seattle, San Francisco, or Remote (PST time zone) 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
🏢 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
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