Senior Software Engineer I — Agentic Analytics

Senior Software Engineer II, FAI

Instacart

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. OVERVIEW Instacart’s Fraud, Appeasement & Identity (FAI) team protects the marketplace and everyone who depends on it—customers, shoppers, retailers, and brand partners. We build the systems that detect and prevent fraud across payments, accounts, and promotions; ensure that refunds and appeasements are fair, accurate, and resistant to abuse; and verify identity so that every transaction can be trusted. Our mission is to safeguard revenue and customer trust while keeping friction low, so the business can scale with confidence. We’re looking for a Senior Software Engineer to serve as a technical leader across FAI. In this role, you’ll define the technical strategy and architecture for critical trust surfaces real-time fraud detection, risk decisioning, appeasement and refund-abuse controls, and identity and account-verification workflows. You’ll partner closely with Product, Data Science and ML, Design, Fraud Operations, Legal, and external identity and risk vendors to deliver fast, safe, and scalable solutions. This is a high-impact role where your work directly influences fraud losses, customer trust, marketplace integrity, and our ability to scale sustainably while meeting regulatory and privacy standards. If you thrive in fast-moving, highly cross-functional environments and enjoy rolling up your sleeves to solve adversarial problems at scale, you’ll feel right at home here. We go far together, communicate with candor, and prioritize solutions where everyone can win. ABOUT THE JOB * Design, build, and operate significant components of FAI systems end to end—fraud detection, risk decisioning, appeasement/refund-abuse controls, and identity verification— delivering reliable, safe features as the platform scales to millions of customers and shoppers. * Contribute to the design of real-time and near-real-time risk decisioning systems that balance detection quality with customer experience, minimizing both fraud losses and false positives on good users. * Deliver business-critical trust initiatives (e.g., account-takeover prevention, payment and promo-abuse defense, appeasement-abuse controls, identity and eligibility verification), building auditable, privacy-first systems with strong observability and SLAs * Partner with Data Science and ML to productionize fraud and risk models—owning feature pipelines, model-serving infrastructure, and the feedback loops that keep detection effective against evolving adversaries. * Run large, cross-functional programs across multiple engineering and business teams; translate ambiguous, adversarial problem spaces into crisp technical plans, manage risk and dependencies, and unblock execution. * Mentor and develop engineers through design reviews, high-quality code practices, and clear technical standards; raise the technical bar and cultivate the next generation of technical leaders on the team. * Drive AI-first patterns into how the team builds - embedding AI and agentic automation into development procedures, code review, and operational runbooks, and establishing the standards and guardrails that let the team ship faster without compromising safety. * Champion the use of AI to strengthen detection itself - applying ML and LLM-based approaches to fraud, risk, and identity signals, and building the tooling and feedback loops that keep these systems effective against evolving adversaries. * Continuously improve the reliability, latency, and cost efficiency of trust services; establish and enforce SLOs, drive incident learnings, and champion secure-by-default, AI-augmented development workflows. ABOUT YOU MINIMUM QUALIFICATIONS * 5+ years of software engineering experience building and operating large-scale distributed systems, high-traffic services, or real-time decisioning platforms. * 2+ years owning end-to-end architecture and technical strategy for a domain or product area, from design through production operations. * Experience collaborating across teams and functions to ship cross-functional work * Proficiency in one or more backend languages (e.g., Go, Java, Python) and with modern cloud infrastructure (e.g., AWS or GCP) and data stores (e.g., Postgres, DynamoDB, Clickhouse, Redis). * Experience designing low-latency, high-availability systems that make automated decisions in the request path (e.g., risk scoring, rules/policy engines, or eligibility checks). * Experience designing systems involving sensitive data identity, payments, personal information, or similar with strong privacy and security best practices and auditability. * Hands-on experience applying AI and agentic automation to engineering workflows and a point of view on how to embed AI-driven patterns into how a team builds and operates. * Demonstrated mentorship and team development experience, including leveling up engineers through design guidance and rigorous code reviews. * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. PREFERRED QUALIFICATIONS * Direct experience with trust & safety, fraud, risk, identity/KYC, payments, or abuse-prevention systems in a high-scale marketplace or platform. * Experience partnering with Data Science/ML to deploy and operate models in production—feature stores, real-time inference, monitoring, and retraining loops. * Experience partnering with Legal/Policy on compliance-related work and navigating evolving regulatory requirements; familiarity with audit trails and policy engines. * Background in evaluating, integrating, and managing third-party identity, payments, or risk vendors; establishing technical SLAs; and executing zero-downtime migrations and fallback strategies. * Experience with experimentation platforms and analytics to measure detection quality, false-positive rates, and impact on customer experience. * Experience in marketplace, logistics, fintech, rideshare, or gig-economy environments. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $168,000—$177,500 USD

Senior Product Manager, AI

Instacart

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. OVERVIEW Instacart’s AI team is building B2B agentic AI products that help retailers and CPGs recover margin by tackling out-of-stock, shrink and waste, and fulfillment utilization. We aim to translate cutting-edge AI into practical, trustworthy solutions that move key financial levers for our customers. As a Product Manager, AI, you will own the vision, roadmap, and go-to-market for new agentic AI capabilities from 0 to 1. You’ll work backwards from customer outcomes — not technology trends — to define clear product requirements, partner closely with engineering and data science to ship value quickly, and collaborate with sales and marketing to craft a commercial motion that proves impact and scales revenue. You’ll join a small, focused team (alongside 2 PMs and 7 engineers to start) with the mandate and resources to move fast. If you thrive in ambiguity, love turning complex data and workflows into simple, outcome-driven products, and want to shape how AI transforms retail operations, this role is for you. ABOUT THE JOB * Own the product vision, strategy, and roadmap for agentic AI solutions that reduce out-of-stocks, shrink and waste, and improve fulfillment utilization for retailers and CPGs. * Work backwards from customer outcomes to write crisp problem statements, PRDs, and success metrics; prioritize ruthlessly to deliver v0, iterate to v1, and scale proven features. * Partner with engineering and data science to scope experiments, manage backlogs, define KPIs and evaluation frameworks, and ensure models and agents are reliable, safe, and observable. * Lead discovery with customers; design pilots and proof points; collaborate with sales and marketing on go-to-market, pricing and packaging, enablement, and case studies that drive revenue. * Own the business case: model unit economics and ROI, set financial targets for margin recovery/efficiency, and report performance to executives and external stakeholders. * Ensure data readiness and integrity by assessing data quality, telemetry, integrations, and feedback loops; implement human-in-the-loop and policy guardrails where appropriate. * Operate cross-functionally with data engineering, retailer success, enterprise sales, and BD to bring products from concept to launch and expansion. ABOUT YOU MINIMUM QUALIFICATIONS * 6+ years of product management experience building B2B or enterprise software, including 3+ years delivering AI/ML-powered products from concept through GA. * Proven record shipping at least 2 AI/ML products used by enterprise customers with measurable financial outcomes (e.g., margin improvement, cost reduction, or productivity gains). * Hands-on data proficiency, including the ability to query or analyze large datasets (e.g., SQL or equivalent) and evaluate data quality, model performance, and signal reliability. * Experience leading cross-functional execution with engineering, data science, design, sales, and marketing to launch and scale products. * Demonstrated ability to build ROI and unit economics models and present business cases to executive audiences. * Experience navigating complex enterprise sales cycles, including security, IT, and legal/procurement processes. * Exceptional written and verbal communication skills; able to translate technical concepts for commercial audiences and commercial concepts for technical audiences. * Bachelor’s degree in a technical, quantitative, or business field (e.g., Computer Science, Engineering, Mathematics, Economics) or equivalent practical experience. PREFERRED QUALIFICATIONS * Experience in grocery, retail, or supply chain with familiarity in store operations, inventory management, and key margin levers. * Exposure to agentic AI systems, LLM-based workflows, autonomous decision pipelines, prompt engineering, and AI evaluation/guardrail practices. * Background with demand forecasting, replenishment, or inventory optimization products and metrics (e.g., OSA, service level, shrink). * Familiarity with the retail tech stack, including WMS, POS, ERP/replenishment modules, EDI, and API-based integrations. * Experience displacing incumbents or winning competitive takeouts in enterprise accounts. * Early-career experience in management consulting, solutions architecture, or business analytics; comfortable running diagnostics and leading with financial outcomes. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $194,000—$204,500 CAD

Senior Software Engineer II - Shopper Activation & Engagement

Instacart

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. OVERVIEW The Shopper Activation & Engagement team owns the complete shopper lifecycle—from activation and onboarding to engagement, earnings, quality and ratings, recognition, retention, and safety. Our systems directly influence marketplace health and efficiency, the shopper experience, and business continuity as we navigate evolving regulatory requirements. As a Senior Software Engineer II on this team, you will lead strategic, high-impact engineering initiatives that shape how millions of shoppers get started, find work, and succeed on our platform. You will drive cross-team alignment, set technical direction across complex domains, and champion AI enablement to meaningfully improve developer productivity and the quality of our systems. You will work closely with engineers across backend, mobile, and infrastructure, and partner with Product, Design, and Data Science. You’ll also collaborate with teams across Logistics, Identity & Fraud, Transaction Platform, and Mobile Foundations, plus business partners in Operations, Legal, Trust & Safety, CRM, Learning, and the Shopper Community. This role is remote within Canada. We are a highly collaborative, outcomes-driven group that values operational excellence, transparency, and a roll-up-your-sleeves mentality. If you thrive in a fast-paced environment and enjoy solving complex problems at scale, you’ll find a meaningful home here. ABOUT THE JOB * Lead the design, architecture, and delivery of highly scalable services that power the shopper lifecycle, including onboarding, eligibility, work evaluation, earnings, ratings and quality, recognition, safety, and retention. * Set technical direction for domain migrations and platform modernization; define patterns, interfaces, and standards that improve reliability, performance, and developer productivity across multiple services and codebases. * Partner with Product, Design, and Data Science to shape roadmaps and success metrics; experiment, measure, and iterate to improve activation, engagement, and retention outcomes. * Champion AI enablement across the team by building internal tooling and agentic automations that accelerate development, testing, and operations; integrate AI safely and measurably into the engineering lifecycle. * Orchestrate complex cross-functional programs with dependencies across R&D and business partners (e.g., Logistics, Identity & Fraud, Transaction Platform, Mobile Foundations, Operations, Legal, Trust & Safety, CRM); align stakeholders and deliver under tight timelines. * Uplevel operational excellence—observability, incident response, SLAs/SLOs, performance tuning—while mentoring engineers through design reviews, documentation, and pair programming. ABOUT YOU MINIMUM QUALIFICATIONS * 7+ years of professional software engineering experience building and operating production systems at scale. * 3+ years architecting and owning distributed systems with high availability and low latency (e.g., microservices, event-driven architectures, streaming/queues). * Proficiency in at least two of: Go, Java, Kotlin, Python; plus hands-on experience with cloud infrastructure (AWS or GCP), containers/orchestration (Docker, Kubernetes), and data technologies (SQL/NoSQL, Redis, Kafka or Pub/Sub). * 2+ years leading cross-functional technical initiatives with multiple teams and external dependencies through delivery under tight deadlines. * Hands-on experience integrating AI into the development lifecycle (e.g., code or test generation, CI/CD automation, observability or incident triage) with measurable impact on productivity and quality. * Proven partnership with Product, Design, and Data Science to define requirements and ship user-facing features. * Track record of mentoring engineers and elevating team practices through design reviews, documentation, and knowledge sharing. * Bachelor’s degree in Computer Science or related field, or equivalent practical experience. PREFERRED QUALIFICATIONS * Experience collaborating with Legal and Compliance on projects impacted by evolving labor or marketplace regulations. * Experience applying AI in product features to improve user experience or operational efficiency (e.g., personalization, ranking, trust & safety, support automation). * Vendor management experience, including evaluating partners and integrating third-party platforms or SDKs. * Mobile app or mobile-first product experience; familiarity with iOS/Android client-backend APIs, experimentation frameworks, and release cycles. * Background in marketplaces, gig economy, logistics, or fintech/payments. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $196,000—$207,000 USD