Russell Tobin

Build and maintain demand forecasts, analyze sales performance, and present insights to stakeholders. | Experience in demand forecasting, strong analytical skills, and ability to collaborate cross-functionally. | Role: Demand Planning Analyst Location: Burlingame, CA (Remote) Duration: 12+ months with strong possibility of extension Industry: Top-tier Technology client Pay Rate: $58 – $62/hour on W2 Role Overview We’re looking for a Demand Planning Analyst to own demand forecasting for consumer hardware product lines, including connected devices and accessories. This role will build and maintain sell-through and sell-in forecasts, partner with sales and channel operations teams, and present performance insights to business leaders. The ideal candidate is data-driven, highly analytical, and comfortable working hands-on with forecasting models, large datasets, and cross-functional stakeholders. This is an execution-focused role for someone who can independently manage business planning activities and translate data into actionable insights. Responsibilities: • Partner with sales account managers, category managers, data analysts, and marketing teams to drive accurate demand planning and identify growth opportunities. • Build bottom-up sell-through and sell-in forecasts using multiple quantitative and qualitative datasets. • Present forecast results and cycle-over-cycle changes to business leaders and key stakeholders. • Forecast and track weekly, monthly, quarterly, and annual sales performance for consumer hardware products and accessories. • Own actuals-versus-forecast and goal performance analysis. • Identify root causes for performance gaps and develop mitigation plans. • Communicate forecast assumptions and the impact of strategic initiatives on projected outcomes. • Analyze large datasets to identify trends, dependencies, correlations, and opportunities to improve forecast accuracy. • Develop future outlooks and continuously improve forecasting methodologies, tools, and processes. • Partner with channel operations teams to support production, inventory, and product launch decisions. • Present business outcomes and recommendations during reviews with senior stakeholders. • Proactively manage ad-hoc analysis and forecasting requests as business needs evolve. Must Haves: • Demand forecasting and demand planning experience with strong analytical/modeling skills. • Cross-functional collaboration and business presentation experience. • Strong technical proficiency with Excel, Google Sheets, and similar business tools. • Experience analyzing actuals versus forecasts and identifying performance gaps. • Ability to independently manage priorities and deliver high-quality work. Nice to Haves: • Physical consumer goods or consumer electronics experience. • Experience with forecasting and planning systems. • Strong business strategy and analytical background. • Ability to independently manage business activities and ad-hoc requests. About US: Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. BENEFITS DISCLOSURE: Pride Global and its affiliates - including Russell Tobin, Pride Health, and Pride Now - offer eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Design and ship full-stack AI products by collaborating with users and stakeholders to translate needs into scalable technical solutions. | 6+ years software engineering with full-stack ownership, strong product instincts, experience with Python, TypeScript, React, and ability to operate autonomously in ambiguous environments. | Staff Product Engineer - Full Stack / AI Products Location: San Francisco, CA - Hybrid, 2-3 days/week preferred Contract: 6-month W2 contract with potential to extend Pay: $230-$255/hour W2, based on experience Travel: Candidates outside the Bay Area may be considered and should be able to travel to San Francisco approximately once per month for a 2-3 day team meetup Russell Tobin is supporting a leading AI technology organization in hiring a Staff Product Engineer to build high-impact internal products used by teams operating at the forefront of artificial intelligence. This is not a traditional feature-delivery engineering role. We’re looking for a highly product-minded engineer who can operate at the intersection of engineering, product, design, and users. You’ll work directly with stakeholders to understand how they work, identify patterns across their needs, and turn those insights into scalable products, platforms, and abstractions. You’ll own outcomes—not simply execute against a predefined roadmap. What You’ll Do • Rapidly design, prototype, and ship full-stack products and features across backend, frontend, and infrastructure • Work directly with users and stakeholders to understand workflows, pain points, and opportunities • Lead product discovery and translate ambiguous user needs into technical solutions • Identify patterns across individual requests and turn them into reusable primitives, platforms, middleware, or capabilities • Build intuitive tools that give less-technical users greater autonomy and flexibility • Make thoughtful product, architecture, and prioritization decisions rather than relying solely on predefined specifications • Iterate quickly based on user feedback and changing business needs • Own projects from initial discovery through implementation, launch, and iteration • Adopt new tools, frameworks, and technical domains as products evolve • Collaborate closely with highly technical, cross-functional teams in a fast-paced environment What We’re Looking For • 6+ years of professional software engineering experience, ideally with significant full-stack ownership • Strong proficiency across the stack; experience with Python, TypeScript, and React is particularly relevant • Demonstrated ability to independently take a product from an ambiguous idea through production launch • Strong product instincts and the ability to balance technical decisions with user and business needs • Experience conducting product discovery or working directly with customers, users, or internal stakeholders • Ability to recognize the broader platform or abstraction behind an individual feature request • Experience building reusable platforms, internal products, frameworks, primitives, or tools that other teams build upon • Strong systems design and architectural thinking • Comfortable making decisions with incomplete information and operating in ambiguous environments • Excellent communication skills and the ability to collaborate effectively in group settings • Comfortable operating with a high degree of autonomy, ownership, and accountability Candidates We’re Particularly Interested In Strong candidates often come from environments where engineers are expected to operate well beyond the boundaries of a traditional software engineering role. We’re especially interested in engineers with backgrounds such as: • Early-stage or high-growth technology companies • Former founders or founding/early engineers • Product engineering organizations • Customer-facing engineering or highly user-oriented product development • Roles combining technical implementation with product discovery • Experience owning both the technical and functional aspects of a product • Software or AI product environments where rapid iteration and ambiguity are the norm • Hands-on experience using AI-assisted development or collaborating with AI systems as part of the engineering workflow Experience exclusively within highly segmented, large-scale engineering organizations may be less aligned unless you can demonstrate significant end-to-end product ownership, direct user exposure, and experience operating autonomously. What Success Looks Like You don’t just ask, “What should I build?” You ask: • What problem is the user actually trying to solve? • Is this an individual request or evidence of a broader pattern? • What abstraction would solve this for many users? • What is the simplest version we can ship to learn quickly? • Did what we built actually improve the user’s workflow? The strongest engineers for this team are equally comfortable discussing a user workflow, making a product decision, designing a system, and then getting into the code to build it. Interview Process The interview process consists of three rounds: • Experience, Goals & Discussion - Background, product mindset, career goals, and questions • Systems Design - Architecture and systems-thinking exercise • Hands-On Coding - Coding exercise using Python or TypeScript Location & Travel San Francisco Bay Area candidates are strongly preferred, with an expectation of working from the San Francisco office approximately 2-3 days per week. Exceptional candidates outside the Pacific Time Zone may also be considered. Candidates based outside the Bay Area should be comfortable traveling to San Francisco approximately once per month for a 2-3 day in-person team meetup. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. #RTA

Design, prototype, and ship full-stack AI products working closely with users and stakeholders. | 6+ years software engineering, full-stack proficiency, product ownership, strong communication, and autonomy. | Staff Product Engineer - Full Stack / AI Products Location: San Francisco, CA - Hybrid, 2-3 days/week preferred Contract: 6-month W2 contract with potential to extend Pay: $230-$255/hour W2, based on experience Travel: Candidates outside the Bay Area may be considered and should be able to travel to San Francisco approximately once per month for a 2-3 day team meetup Russell Tobin is supporting a leading AI technology organization in hiring a Staff Product Engineer to build high-impact internal products used by teams operating at the forefront of artificial intelligence. This is not a traditional feature-delivery engineering role. We’re looking for a highly product-minded engineer who can operate at the intersection of engineering, product, design, and users. You’ll work directly with stakeholders to understand how they work, identify patterns across their needs, and turn those insights into scalable products, platforms, and abstractions. You’ll own outcomes—not simply execute against a predefined roadmap. What You’ll Do • Rapidly design, prototype, and ship full-stack products and features across backend, frontend, and infrastructure • Work directly with users and stakeholders to understand workflows, pain points, and opportunities • Lead product discovery and translate ambiguous user needs into technical solutions • Identify patterns across individual requests and turn them into reusable primitives, platforms, middleware, or capabilities • Build intuitive tools that give less-technical users greater autonomy and flexibility • Make thoughtful product, architecture, and prioritization decisions rather than relying solely on predefined specifications • Iterate quickly based on user feedback and changing business needs • Own projects from initial discovery through implementation, launch, and iteration • Adopt new tools, frameworks, and technical domains as products evolve • Collaborate closely with highly technical, cross-functional teams in a fast-paced environment What We’re Looking For • 6+ years of professional software engineering experience, ideally with significant full-stack ownership • Strong proficiency across the stack; experience with Python, TypeScript, and React is particularly relevant • Demonstrated ability to independently take a product from an ambiguous idea through production launch • Strong product instincts and the ability to balance technical decisions with user and business needs • Experience conducting product discovery or working directly with customers, users, or internal stakeholders • Ability to recognize the broader platform or abstraction behind an individual feature request • Experience building reusable platforms, internal products, frameworks, primitives, or tools that other teams build upon • Strong systems design and architectural thinking • Comfortable making decisions with incomplete information and operating in ambiguous environments • Excellent communication skills and the ability to collaborate effectively in group settings • Comfortable operating with a high degree of autonomy, ownership, and accountability Candidates We’re Particularly Interested In Strong candidates often come from environments where engineers are expected to operate well beyond the boundaries of a traditional software engineering role. We’re especially interested in engineers with backgrounds such as: • Early-stage or high-growth technology companies • Former founders or founding/early engineers • Product engineering organizations • Customer-facing engineering or highly user-oriented product development • Roles combining technical implementation with product discovery • Experience owning both the technical and functional aspects of a product • Software or AI product environments where rapid iteration and ambiguity are the norm • Hands-on experience using AI-assisted development or collaborating with AI systems as part of the engineering workflow Experience exclusively within highly segmented, large-scale engineering organizations may be less aligned unless you can demonstrate significant end-to-end product ownership, direct user exposure, and experience operating autonomously. What Success Looks Like You don’t just ask, “What should I build?” You ask: • What problem is the user actually trying to solve? • Is this an individual request or evidence of a broader pattern? • What abstraction would solve this for many users? • What is the simplest version we can ship to learn quickly? • Did what we built actually improve the user’s workflow? The strongest engineers for this team are equally comfortable discussing a user workflow, making a product decision, designing a system, and then getting into the code to build it. Interview Process The interview process consists of three rounds: • Experience, Goals & Discussion - Background, product mindset, career goals, and questions • Systems Design - Architecture and systems-thinking exercise • Hands-On Coding - Coding exercise using Python or TypeScript Location & Travel San Francisco Bay Area candidates are strongly preferred, with an expectation of working from the San Francisco office approximately 2-3 days per week. Exceptional candidates outside the Pacific Time Zone may also be considered. Candidates based outside the Bay Area should be comfortable traveling to San Francisco approximately once per month for a 2-3 day in-person team meetup. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. #RTA

Design, prototype, and ship full-stack AI products working closely with users and stakeholders. | 6+ years software engineering with full-stack ownership, strong product instincts, and ability to operate autonomously in ambiguous environments. | Staff Product Engineer - Full Stack / AI Products Location: San Francisco, CA - Hybrid, 2-3 days/week preferred Contract: 6-month W2 contract with potential to extend Pay: $230-$255/hour W2, based on experience Travel: Candidates outside the Bay Area may be considered and should be able to travel to San Francisco approximately once per month for a 2-3 day team meetup Russell Tobin is supporting a leading AI technology organization in hiring a Staff Product Engineer to build high-impact internal products used by teams operating at the forefront of artificial intelligence. This is not a traditional feature-delivery engineering role. We’re looking for a highly product-minded engineer who can operate at the intersection of engineering, product, design, and users. You’ll work directly with stakeholders to understand how they work, identify patterns across their needs, and turn those insights into scalable products, platforms, and abstractions. You’ll own outcomes—not simply execute against a predefined roadmap. What You’ll Do • Rapidly design, prototype, and ship full-stack products and features across backend, frontend, and infrastructure • Work directly with users and stakeholders to understand workflows, pain points, and opportunities • Lead product discovery and translate ambiguous user needs into technical solutions • Identify patterns across individual requests and turn them into reusable primitives, platforms, middleware, or capabilities • Build intuitive tools that give less-technical users greater autonomy and flexibility • Make thoughtful product, architecture, and prioritization decisions rather than relying solely on predefined specifications • Iterate quickly based on user feedback and changing business needs • Own projects from initial discovery through implementation, launch, and iteration • Adopt new tools, frameworks, and technical domains as products evolve • Collaborate closely with highly technical, cross-functional teams in a fast-paced environment What We’re Looking For • 6+ years of professional software engineering experience, ideally with significant full-stack ownership • Strong proficiency across the stack; experience with Python, TypeScript, and React is particularly relevant • Demonstrated ability to independently take a product from an ambiguous idea through production launch • Strong product instincts and the ability to balance technical decisions with user and business needs • Experience conducting product discovery or working directly with customers, users, or internal stakeholders • Ability to recognize the broader platform or abstraction behind an individual feature request • Experience building reusable platforms, internal products, frameworks, primitives, or tools that other teams build upon • Strong systems design and architectural thinking • Comfortable making decisions with incomplete information and operating in ambiguous environments • Excellent communication skills and the ability to collaborate effectively in group settings • Comfortable operating with a high degree of autonomy, ownership, and accountability Candidates We’re Particularly Interested In Strong candidates often come from environments where engineers are expected to operate well beyond the boundaries of a traditional software engineering role. We’re especially interested in engineers with backgrounds such as: • Early-stage or high-growth technology companies • Former founders or founding/early engineers • Product engineering organizations • Customer-facing engineering or highly user-oriented product development • Roles combining technical implementation with product discovery • Experience owning both the technical and functional aspects of a product • Software or AI product environments where rapid iteration and ambiguity are the norm • Hands-on experience using AI-assisted development or collaborating with AI systems as part of the engineering workflow Experience exclusively within highly segmented, large-scale engineering organizations may be less aligned unless you can demonstrate significant end-to-end product ownership, direct user exposure, and experience operating autonomously. What Success Looks Like You don’t just ask, “What should I build?” You ask: • What problem is the user actually trying to solve? • Is this an individual request or evidence of a broader pattern? • What abstraction would solve this for many users? • What is the simplest version we can ship to learn quickly? • Did what we built actually improve the user’s workflow? The strongest engineers for this team are equally comfortable discussing a user workflow, making a product decision, designing a system, and then getting into the code to build it. Interview Process The interview process consists of three rounds: • Experience, Goals & Discussion - Background, product mindset, career goals, and questions • Systems Design - Architecture and systems-thinking exercise • Hands-On Coding - Coding exercise using Python or TypeScript Location & Travel San Francisco Bay Area candidates are strongly preferred, with an expectation of working from the San Francisco office approximately 2-3 days per week. Exceptional candidates outside the Pacific Time Zone may also be considered. Candidates based outside the Bay Area should be comfortable traveling to San Francisco approximately once per month for a 2-3 day in-person team meetup. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. #RTA

Design and build full-stack AI products with strong product ownership and user collaboration. | 6+ years full-stack experience, product mindset, strong communication, autonomy, and ability to operate in ambiguous environments. | Staff Product Engineer - Full Stack / AI Products Location: San Francisco, CA - Hybrid, 2-3 days/week preferred Contract: 6-month W2 contract with potential to extend Pay: $230-$255/hour W2, based on experience Travel: Candidates outside the Bay Area may be considered and should be able to travel to San Francisco approximately once per month for a 2-3 day team meetup Russell Tobin is supporting a leading AI technology organization in hiring a Staff Product Engineer to build high-impact internal products used by teams operating at the forefront of artificial intelligence. This is not a traditional feature-delivery engineering role. We’re looking for a highly product-minded engineer who can operate at the intersection of engineering, product, design, and users. You’ll work directly with stakeholders to understand how they work, identify patterns across their needs, and turn those insights into scalable products, platforms, and abstractions. You’ll own outcomes—not simply execute against a predefined roadmap. What You’ll Do • Rapidly design, prototype, and ship full-stack products and features across backend, frontend, and infrastructure • Work directly with users and stakeholders to understand workflows, pain points, and opportunities • Lead product discovery and translate ambiguous user needs into technical solutions • Identify patterns across individual requests and turn them into reusable primitives, platforms, middleware, or capabilities • Build intuitive tools that give less-technical users greater autonomy and flexibility • Make thoughtful product, architecture, and prioritization decisions rather than relying solely on predefined specifications • Iterate quickly based on user feedback and changing business needs • Own projects from initial discovery through implementation, launch, and iteration • Adopt new tools, frameworks, and technical domains as products evolve • Collaborate closely with highly technical, cross-functional teams in a fast-paced environment What We’re Looking For • 6+ years of professional software engineering experience, ideally with significant full-stack ownership • Strong proficiency across the stack; experience with Python, TypeScript, and React is particularly relevant • Demonstrated ability to independently take a product from an ambiguous idea through production launch • Strong product instincts and the ability to balance technical decisions with user and business needs • Experience conducting product discovery or working directly with customers, users, or internal stakeholders • Ability to recognize the broader platform or abstraction behind an individual feature request • Experience building reusable platforms, internal products, frameworks, primitives, or tools that other teams build upon • Strong systems design and architectural thinking • Comfortable making decisions with incomplete information and operating in ambiguous environments • Excellent communication skills and the ability to collaborate effectively in group settings • Comfortable operating with a high degree of autonomy, ownership, and accountability Candidates We’re Particularly Interested In Strong candidates often come from environments where engineers are expected to operate well beyond the boundaries of a traditional software engineering role. We’re especially interested in engineers with backgrounds such as: • Early-stage or high-growth technology companies • Former founders or founding/early engineers • Product engineering organizations • Customer-facing engineering or highly user-oriented product development • Roles combining technical implementation with product discovery • Experience owning both the technical and functional aspects of a product • Software or AI product environments where rapid iteration and ambiguity are the norm • Hands-on experience using AI-assisted development or collaborating with AI systems as part of the engineering workflow Experience exclusively within highly segmented, large-scale engineering organizations may be less aligned unless you can demonstrate significant end-to-end product ownership, direct user exposure, and experience operating autonomously. What Success Looks Like You don’t just ask, “What should I build?” You ask: • What problem is the user actually trying to solve? • Is this an individual request or evidence of a broader pattern? • What abstraction would solve this for many users? • What is the simplest version we can ship to learn quickly? • Did what we built actually improve the user’s workflow? The strongest engineers for this team are equally comfortable discussing a user workflow, making a product decision, designing a system, and then getting into the code to build it. Interview Process The interview process consists of three rounds: • Experience, Goals & Discussion - Background, product mindset, career goals, and questions • Systems Design - Architecture and systems-thinking exercise • Hands-On Coding - Coding exercise using Python or TypeScript Location & Travel San Francisco Bay Area candidates are strongly preferred, with an expectation of working from the San Francisco office approximately 2-3 days per week. Exceptional candidates outside the Pacific Time Zone may also be considered. Candidates based outside the Bay Area should be comfortable traveling to San Francisco approximately once per month for a 2-3 day in-person team meetup. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. #RTA

Design, prototype, and ship full-stack AI products working closely with users and stakeholders. | 6+ years software engineering with full-stack ownership, strong product instincts, and ability to operate autonomously in ambiguous environments. | Staff Product Engineer - Full Stack / AI Products Location: San Francisco, CA - Hybrid, 2-3 days/week preferred Contract: 6-month W2 contract with potential to extend Pay: $230-$255/hour W2, based on experience Travel: Candidates outside the Bay Area may be considered and should be able to travel to San Francisco approximately once per month for a 2-3 day team meetup Russell Tobin is supporting a leading AI technology organization in hiring a Staff Product Engineer to build high-impact internal products used by teams operating at the forefront of artificial intelligence. This is not a traditional feature-delivery engineering role. We’re looking for a highly product-minded engineer who can operate at the intersection of engineering, product, design, and users. You’ll work directly with stakeholders to understand how they work, identify patterns across their needs, and turn those insights into scalable products, platforms, and abstractions. You’ll own outcomes—not simply execute against a predefined roadmap. What You’ll Do • Rapidly design, prototype, and ship full-stack products and features across backend, frontend, and infrastructure • Work directly with users and stakeholders to understand workflows, pain points, and opportunities • Lead product discovery and translate ambiguous user needs into technical solutions • Identify patterns across individual requests and turn them into reusable primitives, platforms, middleware, or capabilities • Build intuitive tools that give less-technical users greater autonomy and flexibility • Make thoughtful product, architecture, and prioritization decisions rather than relying solely on predefined specifications • Iterate quickly based on user feedback and changing business needs • Own projects from initial discovery through implementation, launch, and iteration • Adopt new tools, frameworks, and technical domains as products evolve • Collaborate closely with highly technical, cross-functional teams in a fast-paced environment What We’re Looking For • 6+ years of professional software engineering experience, ideally with significant full-stack ownership • Strong proficiency across the stack; experience with Python, TypeScript, and React is particularly relevant • Demonstrated ability to independently take a product from an ambiguous idea through production launch • Strong product instincts and the ability to balance technical decisions with user and business needs • Experience conducting product discovery or working directly with customers, users, or internal stakeholders • Ability to recognize the broader platform or abstraction behind an individual feature request • Experience building reusable platforms, internal products, frameworks, primitives, or tools that other teams build upon • Strong systems design and architectural thinking • Comfortable making decisions with incomplete information and operating in ambiguous environments • Excellent communication skills and the ability to collaborate effectively in group settings • Comfortable operating with a high degree of autonomy, ownership, and accountability Candidates We’re Particularly Interested In Strong candidates often come from environments where engineers are expected to operate well beyond the boundaries of a traditional software engineering role. We’re especially interested in engineers with backgrounds such as: • Early-stage or high-growth technology companies • Former founders or founding/early engineers • Product engineering organizations • Customer-facing engineering or highly user-oriented product development • Roles combining technical implementation with product discovery • Experience owning both the technical and functional aspects of a product • Software or AI product environments where rapid iteration and ambiguity are the norm • Hands-on experience using AI-assisted development or collaborating with AI systems as part of the engineering workflow Experience exclusively within highly segmented, large-scale engineering organizations may be less aligned unless you can demonstrate significant end-to-end product ownership, direct user exposure, and experience operating autonomously. What Success Looks Like You don’t just ask, “What should I build?” You ask: • What problem is the user actually trying to solve? • Is this an individual request or evidence of a broader pattern? • What abstraction would solve this for many users? • What is the simplest version we can ship to learn quickly? • Did what we built actually improve the user’s workflow? The strongest engineers for this team are equally comfortable discussing a user workflow, making a product decision, designing a system, and then getting into the code to build it. Interview Process The interview process consists of three rounds: • Experience, Goals & Discussion - Background, product mindset, career goals, and questions • Systems Design - Architecture and systems-thinking exercise • Hands-On Coding - Coding exercise using Python or TypeScript Location & Travel San Francisco Bay Area candidates are strongly preferred, with an expectation of working from the San Francisco office approximately 2-3 days per week. Exceptional candidates outside the Pacific Time Zone may also be considered. Candidates based outside the Bay Area should be comfortable traveling to San Francisco approximately once per month for a 2-3 day in-person team meetup. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. #RTA

Design and build full-stack AI products with strong product ownership and user collaboration. | 6+ years full-stack experience, product-minded engineering, strong communication, and autonomy in ambiguous environments. | Staff Product Engineer - Full Stack / AI Products Location: San Francisco, CA - Hybrid, 2-3 days/week preferred Contract: 6-month W2 contract with potential to extend Pay: $230-$255/hour W2, based on experience Travel: Candidates outside the Bay Area may be considered and should be able to travel to San Francisco approximately once per month for a 2-3 day team meetup Russell Tobin is supporting a leading AI technology organization in hiring a Staff Product Engineer to build high-impact internal products used by teams operating at the forefront of artificial intelligence. This is not a traditional feature-delivery engineering role. We’re looking for a highly product-minded engineer who can operate at the intersection of engineering, product, design, and users. You’ll work directly with stakeholders to understand how they work, identify patterns across their needs, and turn those insights into scalable products, platforms, and abstractions. You’ll own outcomes—not simply execute against a predefined roadmap. What You’ll Do • Rapidly design, prototype, and ship full-stack products and features across backend, frontend, and infrastructure • Work directly with users and stakeholders to understand workflows, pain points, and opportunities • Lead product discovery and translate ambiguous user needs into technical solutions • Identify patterns across individual requests and turn them into reusable primitives, platforms, middleware, or capabilities • Build intuitive tools that give less-technical users greater autonomy and flexibility • Make thoughtful product, architecture, and prioritization decisions rather than relying solely on predefined specifications • Iterate quickly based on user feedback and changing business needs • Own projects from initial discovery through implementation, launch, and iteration • Adopt new tools, frameworks, and technical domains as products evolve • Collaborate closely with highly technical, cross-functional teams in a fast-paced environment What We’re Looking For • 6+ years of professional software engineering experience, ideally with significant full-stack ownership • Strong proficiency across the stack; experience with Python, TypeScript, and React is particularly relevant • Demonstrated ability to independently take a product from an ambiguous idea through production launch • Strong product instincts and the ability to balance technical decisions with user and business needs • Experience conducting product discovery or working directly with customers, users, or internal stakeholders • Ability to recognize the broader platform or abstraction behind an individual feature request • Experience building reusable platforms, internal products, frameworks, primitives, or tools that other teams build upon • Strong systems design and architectural thinking • Comfortable making decisions with incomplete information and operating in ambiguous environments • Excellent communication skills and the ability to collaborate effectively in group settings • Comfortable operating with a high degree of autonomy, ownership, and accountability Candidates We’re Particularly Interested In Strong candidates often come from environments where engineers are expected to operate well beyond the boundaries of a traditional software engineering role. We’re especially interested in engineers with backgrounds such as: • Early-stage or high-growth technology companies • Former founders or founding/early engineers • Product engineering organizations • Customer-facing engineering or highly user-oriented product development • Roles combining technical implementation with product discovery • Experience owning both the technical and functional aspects of a product • Software or AI product environments where rapid iteration and ambiguity are the norm • Hands-on experience using AI-assisted development or collaborating with AI systems as part of the engineering workflow Experience exclusively within highly segmented, large-scale engineering organizations may be less aligned unless you can demonstrate significant end-to-end product ownership, direct user exposure, and experience operating autonomously. What Success Looks Like You don’t just ask, “What should I build?” You ask: • What problem is the user actually trying to solve? • Is this an individual request or evidence of a broader pattern? • What abstraction would solve this for many users? • What is the simplest version we can ship to learn quickly? • Did what we built actually improve the user’s workflow? The strongest engineers for this team are equally comfortable discussing a user workflow, making a product decision, designing a system, and then getting into the code to build it. Interview Process The interview process consists of three rounds: • Experience, Goals & Discussion - Background, product mindset, career goals, and questions • Systems Design - Architecture and systems-thinking exercise • Hands-On Coding - Coding exercise using Python or TypeScript Location & Travel San Francisco Bay Area candidates are strongly preferred, with an expectation of working from the San Francisco office approximately 2-3 days per week. Exceptional candidates outside the Pacific Time Zone may also be considered. Candidates based outside the Bay Area should be comfortable traveling to San Francisco approximately once per month for a 2-3 day in-person team meetup. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. #RTA

Design and ship full-stack AI products by collaborating with users and stakeholders to translate needs into scalable solutions. | 6+ years experience with full-stack ownership, strong product instincts, ability to operate autonomously in ambiguous environments, and excellent communication skills. | Staff Product Engineer - Full Stack / AI Products Location: San Francisco, CA - Hybrid, 2-3 days/week preferred Contract: 6-month W2 contract with potential to extend Pay: $230-$255/hour W2, based on experience Travel: Candidates outside the Bay Area may be considered and should be able to travel to San Francisco approximately once per month for a 2-3 day team meetup Russell Tobin is supporting a leading AI technology organization in hiring a Staff Product Engineer to build high-impact internal products used by teams operating at the forefront of artificial intelligence. This is not a traditional feature-delivery engineering role. We’re looking for a highly product-minded engineer who can operate at the intersection of engineering, product, design, and users. You’ll work directly with stakeholders to understand how they work, identify patterns across their needs, and turn those insights into scalable products, platforms, and abstractions. You’ll own outcomes—not simply execute against a predefined roadmap. What You’ll Do • Rapidly design, prototype, and ship full-stack products and features across backend, frontend, and infrastructure • Work directly with users and stakeholders to understand workflows, pain points, and opportunities • Lead product discovery and translate ambiguous user needs into technical solutions • Identify patterns across individual requests and turn them into reusable primitives, platforms, middleware, or capabilities • Build intuitive tools that give less-technical users greater autonomy and flexibility • Make thoughtful product, architecture, and prioritization decisions rather than relying solely on predefined specifications • Iterate quickly based on user feedback and changing business needs • Own projects from initial discovery through implementation, launch, and iteration • Adopt new tools, frameworks, and technical domains as products evolve • Collaborate closely with highly technical, cross-functional teams in a fast-paced environment What We’re Looking For • 6+ years of professional software engineering experience, ideally with significant full-stack ownership • Strong proficiency across the stack; experience with Python, TypeScript, and React is particularly relevant • Demonstrated ability to independently take a product from an ambiguous idea through production launch • Strong product instincts and the ability to balance technical decisions with user and business needs • Experience conducting product discovery or working directly with customers, users, or internal stakeholders • Ability to recognize the broader platform or abstraction behind an individual feature request • Experience building reusable platforms, internal products, frameworks, primitives, or tools that other teams build upon • Strong systems design and architectural thinking • Comfortable making decisions with incomplete information and operating in ambiguous environments • Excellent communication skills and the ability to collaborate effectively in group settings • Comfortable operating with a high degree of autonomy, ownership, and accountability Candidates We’re Particularly Interested In Strong candidates often come from environments where engineers are expected to operate well beyond the boundaries of a traditional software engineering role. We’re especially interested in engineers with backgrounds such as: • Early-stage or high-growth technology companies • Former founders or founding/early engineers • Product engineering organizations • Customer-facing engineering or highly user-oriented product development • Roles combining technical implementation with product discovery • Experience owning both the technical and functional aspects of a product • Software or AI product environments where rapid iteration and ambiguity are the norm • Hands-on experience using AI-assisted development or collaborating with AI systems as part of the engineering workflow Experience exclusively within highly segmented, large-scale engineering organizations may be less aligned unless you can demonstrate significant end-to-end product ownership, direct user exposure, and experience operating autonomously. What Success Looks Like You don’t just ask, “What should I build?” You ask: • What problem is the user actually trying to solve? • Is this an individual request or evidence of a broader pattern? • What abstraction would solve this for many users? • What is the simplest version we can ship to learn quickly? • Did what we built actually improve the user’s workflow? The strongest engineers for this team are equally comfortable discussing a user workflow, making a product decision, designing a system, and then getting into the code to build it. Interview Process The interview process consists of three rounds: • Experience, Goals & Discussion - Background, product mindset, career goals, and questions • Systems Design - Architecture and systems-thinking exercise • Hands-On Coding - Coding exercise using Python or TypeScript Location & Travel San Francisco Bay Area candidates are strongly preferred, with an expectation of working from the San Francisco office approximately 2-3 days per week. Exceptional candidates outside the Pacific Time Zone may also be considered. Candidates based outside the Bay Area should be comfortable traveling to San Francisco approximately once per month for a 2-3 day in-person team meetup. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. #RTA