About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. 

We are AI Native 

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

The Foundry team is building Life360’s partner ecosystem and developer platform - the infrastructure that allows external partners to integrate with Life360 securely and at scale. We own the full integration stack: partner-facing APIs, authentication flows, webhook receipt and delivery, and the gateway layer that decouples partner contracts from internal systems. Our goal is to turn Life360 from a single-product app into an extensible platform that partners across mobility, safety, wearables, and more can build on.

We also own critical shared infrastructure that the rest of the company depends on - NetworkKit, authentication, and environment standardization across all mobile clients. We’re a cross-platform team spanning Cloud, Android, and iOS, and we think in systems: stable API contracts, sandboxed environments, versioning policies, and operational SLAs. The developer platform we’re building is modeled on the best of Stripe, Twilio, and Squarespace - designed so that onboarding a new partner takes weeks, not months.

About the Job

Life360 is hiring an  AI-Native Backend Focused Engineer — a senior engineer who doesn’t just use AI tools, but thinks natively in them. You’ll be central to how the Foundry team builds its products, develops its ecosystem tooling, and how we use AI for development in the future.

You’ll design and build features and systems to help grow Life360s partner ecosystem, helping take our platform from zero to one - building out auth, system proxying, alerting and monitoring, everything.

You’ll build and evolve  our modern AI-Native engineering workflows — from how we write code, to how we run standups, to how we think about team velocity. You’ll evolve the standard others follow.

For candidates based in the US, the salary range for this position is $129,000 to $192,000 USD. For candidates based out of Canada, the salary range for this position is 149,500 to 177,500 CAD. 

Note: We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

• Design and build high-quality features integrating third party data and systems.
• Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews.
• Help define and codify AI-Native engineering practices for the Foundry team, establishing playbooks the broader org can adopt.
• Build across the full stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users.
• Collaborate closely with product managers and designers to turn complex user problems into elegant, scalable engineering solutions.
• Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement.
• Participate in on-call rotation and incident response.
• Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality.
• Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices.
• Support performance, reliability, and accessibility across the features you own.

What We’re Looking For

Technical foundation:

• 6+ years of backend software engineering experience
• Strong proficiency with Java and Spring Boot (this is our primary stack)
• Experience with Apache Kafka or similar distributed streaming platforms
• Solid understanding of distributed systems concepts: consistency, fault tolerance, replication, and data durability
• Comfortable with cloud infrastructure (AWS preferred) and containerized deployments
• Heavy user of agentic workflows, understands research-plan-implement cycle but doesn’t outsource thinking to agents

What matters most to us:

• Growth mindset - You structure problems precisely, you learn quickly, you can show interest outside “your lane”, and you are always happy to try something new
• Collaborative approach - You communicate clearly, work well across teams, and value diverse perspectives
• Ownership mentality - You take responsibility for your work from design through production and beyond
• AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams rather than hand-holding one agent at a time
• Thoughtful communication - You can explain technical tradeoffs and articulate ideas effectively
• We believe culture fit and problem-solving ability matter more than checking every technical box. We're happy to help you grow into areas where you have less experience.

Nice-to-Have

• Background in stream processing frameworks (Kafka Streams, Flink)
• Experience with schema registries and schema evolution strategies
• Knowledge of Confluent Platform or Confluent Cloud
• Understanding of CI/CD patterns, GitHub Actions, and artifact management (Maven, Nexus)
• Experience with observability tooling (Prometheus, Grafana, DataDog)
• Previous work on ecosystems or integration tooling

AI-Native Expectations 

We use AI coding tools as a professional standard on this team. Here's what that means in practice:

• Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
• Judgment and ownership: AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship.
• Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
• Team leadership: You share what works. You automate prompting strategies that others can build on and help teammates earlier in their AI workflow adoption get up to speed.
• Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.

Our Benefits

• Competitive pay and benefits
• Medical, dental, vision, life and disability insurance plans (US and Canada)
• 401(k) plan with company matching (US) / RRSP with DPSP matching (Canada)
• Employee Assistance Program (EAP) for mental well-being
• Flexible PTO, plus several company-wide days off throughout the year
• Winter and Summer week-long synchronized company shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment
• Free Life360 Platinum Membership for your preferred circle
• Free Tile Products

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.

• Be a Good Person — We have a team of high-integrity people you can trust.
• Be Direct With Respect — We communicate directly, even when it’s hard.
• Members Before Metrics — We focus on building an exceptional experience for families.
• High Intensity, High Impact — We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. 

We are AI Native 

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About the Team

The Messaging team owns the backbone of Life360's real-time infrastructure — the event streaming and data pipelines that keep millions of families connected. We process billions of events every day across location updates, safety alerts, and the push notifications that make the product feel instant.

We are a small, platform-focused, AI-native team. AI isn't a productivity add-on here — it's how we work. Every engineer on the team directs AI agents as a core part of their daily loop: scaffolding services, drafting Terraform, exploring unfamiliar codebases, writing migration scripts, and reviewing diffs. We move faster and go deeper on hard distributed systems problems because we've built the habits, prompts, and guardrails to make agentic work reliable.

Current initiatives include the MSK-to-Confluent Cloud migration, organization-wide schema registry and Protobuf governance, and the next generation of Life360's streaming services. Our stack is Kafka and Kafka Streams, Spring Boot (Java 21), Go, Protobuf/gRPC, Terraform, and AWS.

About the Job

This is a hands-on senior engineering role for someone who has already made AI a first-class collaborator in their work. You'll design streaming services, write and review code, own production incidents, and ship infrastructure — and you'll do all of it with agents running in parallel alongside you. We're looking for an engineer who already decomposes work into agentic workflows, critiques agent output with real technical authority, and ships production code faster because of it.

You'll help shape the team's technical direction on Kafka-first streaming infrastructure and the next phase of our high-availability roadmap. You'll also help evolve how the team itself works with AI — the prompts, the evals, the review patterns, the escape hatches when agents go sideways.

What You'll Do

• Design, build, and operate streaming services on Kafka, Spring Boot, and Spring Cloud Stream — directing agents to scaffold, test, and iterate, and owning the outcome end-to-end.
• Develop and manage Kafka connectors for data integration (DynamoDB, S3, NSQ, custom sinks/sources) and the SMT chains that keep them honest.
• Own schema management and evolution across Protobuf, Schema Registry, and multi-language code generation — including the Gradle/Nexus publishing pipelines that back it.
• Drive platform migrations (MSK → Confluent Cloud, NSQ → Kafka) including dual-cluster consumer patterns, VPC peering, and cutover playbooks.
• Build monitoring, alerting, and operational tooling (DataDog, PagerDuty, Prometheus) that catch problems before pages fire.
• Write infrastructure as code in Terraform, ship it through CI/CD, and participate in the on-call rotation and incident response for the services you own.
• Work AI-natively as the default mode of operation. Run multiple agents in parallel. Write prompts with real context and constraints. Review every diff like you wrote it yourself. Know when to throw the agent's output out and do it by hand.
• Evolve the team's AI-native practices — prompt libraries, evals, review rituals, and the guardrails that make all of it safe at production scale.
• Mentor teammates, raise the bar on technical standards, and contribute to the team's API design, data contracts, and integration patterns.

Compensation

For candidates based in the US, the salary range for this position is $148,000 to $216,500 USD. For candidates based out of Canada, the salary range is 171,500 to $201,000 CAD. 

Note: We take into consideration an individual's background and experience in determining final salary — therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What We're Looking For

Technical foundation

• 6+ years of backend software engineering experience.
• Strong proficiency with Java and Spring Boot — this is our primary stack and you should be comfortable reading, writing, and debugging it without assistance.
• Production experience with Apache Kafka or a comparable distributed streaming platform (Pulsar, Kinesis, Pub/Sub).
• Solid grounding in distributed systems concepts: consistency, fault tolerance, replication, delivery semantics, and data durability tradeoffs.
• Comfortable with AWS (or equivalent cloud) and containerized deployments on Kubernetes.
• Hands-on experience with Terraform or comparable IaC for real, multi-environment infrastructure.

AI-native working style

Specifically, we're looking for:

• Prompting excellence — you give agents context, constraints, and expected outcomes. You don't type "do X" and hope.
• Critical validation — you can explain every line the agent wrote, identify where it succeeded and where it fell short, and correct it. You treat AI output as a draft from a smart junior, not an oracle.
• Agentic decomposition — you break ambiguous problems into discrete, verifiable sub-tasks that an agent can actually execute, rather than handing it a blob of intent.
• Parallel workstreams — you run multiple agents or sessions concurrently on independent tasks instead of hand-holding one at a time.
• Troubleshooting with AI, not around it — when an agent hallucinates an API, suggests a deprecated library, or produces code that compiles but is wrong, you diagnose and recover. The interview is designed so things will go wrong; how you get unstuck is a signal.
• Technical authority — you understand the underlying tech (Kafka internals, Protobuf wire format, JDBC, SASL_SSL auth, partitioning semantics) well enough to catch the agent when it's confidently wrong.

What matters most to us

• Problem-solving mindset — you structure ambiguous problems precisely before reaching for a tool, AI or otherwise.
• Ownership — you take a feature from design through production and through the 3 a.m. page that follows.
• Direct, respectful communication — you can explain technical tradeoffs clearly, push back when you disagree, and change your mind when the evidence changes.
• Collaborative — you work well across teams and value perspectives that aren't your own.

Nice-to-have

• Go experience (we use it for CLI tools and some services).
• gRPC and Protocol Buffers in production, including schema evolution strategies.
• Stream processing frameworks — Kafka Streams, Flink (SQL or DataStream).
• Confluent Platform or Confluent Cloud specifics (Schema Registry, Connect, ksqlDB, Stream Governance).
• CI/CD with GitHub Actions, artifact management (Maven, Nexus).
• Observability tooling — DataDog, Prometheus, Grafana.
• Prior experience on large-scale platform migrations or infrastructure modernization programs.
• Building or running evals for LLM-based workflows, prompt libraries, or agent tooling at your current or previous team.

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). Supplemental medical and dental plans for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company-wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.

Life360 Values

Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference:

• Be a Good Person — We have a team of high-integrity people you can trust.
• Be Direct With Respect — We communicate directly, even when it's hard.
• Members Before Metrics — We focus on building an exceptional experience for families.
• High Intensity High Impact — We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying!

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. 

We are AI Native 

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About the Devices Cloud Team

The Devices Cloud team owns the backend services that power Life360's fleet of connected hardware — Tile trackers, Jiobit wearables, Pet GPS trackers, and emerging device categories. We manage real-time device state, high-frequency telemetry ingest, and the cloud infrastructure that translates physical-world signals into reliable, family-facing experiences. Our work sits at the intersection of hardware, firmware, mobile, and platform — and runs at a scale where correctness and reliability aren't optional.

We are an AI-Native team. AI isn't an add-on to how we work — it's how we work. We've redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We're looking for engineers who want to help define what AI-native backend development looks like for complex, hardware-connected systems.

About the Job

As a Sr. Staff Cloud Engineer on the Devices Cloud team, you will own the technical direction of the cloud systems that power Life360's connected hardware — Tile trackers, Jiobit wearables, and emerging device categories. This is a systems-level leadership role: you are the recognized technical authority for our device cloud infrastructure, spanning real-time state management, high-frequency telemetry ingest, and the integration layer that connects physical hardware to family-facing experiences.

At this level, your work extends well beyond implementation. You set technical direction, define architectural standards, mentor Staff and Senior engineers, and partner with engineering and product leadership to align the technical roadmap with company goals. You operate across teams and functional groups — influencing firmware, mobile, platform, and data teams — and your decisions shape systems serving tens of millions of families daily.

You are also a leader in AI-native engineering. You don't just use AI — you define how it should be used. You architect agent-driven workflows, codify practices that multiply team output, and partner with engineering leadership to spread these patterns across the broader organization.

For candidates based in the US, the salary range for this position is $216,500 to $318,500 USD. For candidates based out of Canada, the salary range is 251,000 to $295,000 CAD. Note: We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You'll Do

• Own the technical architecture and long-term roadmap for Devices Cloud systems — device connectivity, telemetry ingest, state management, command/control, and data pipelines — ensuring they are scalable, secure, and resilient at Life360's scale.
• Define and drive system-level technical direction across multiple teams, identifying architectural trade-offs, resolving cross-team design conflicts, and aligning engineering efforts with company strategy.
• Lead AI-native engineering practices for Devices Cloud: architect agentic workflows, codify patterns for AI-assisted spec writing, code generation, test coverage, and incident response — and partner with org leadership to extend these playbooks broadly.
• Partner with firmware, mobile, product, and platform teams to define APIs, integration standards, and device-driven workflows that translate cleanly across the hardware-software boundary.
• Drive the architecture and delivery of large-scale, cross-team initiatives — from conception through production — managing dependencies, unblocking teams, and maintaining accountability for outcomes.
• Anticipate system bottlenecks, failure modes, and security risks before they materialize; define safeguards and engineering standards that prevent class-of-problem recurrences.
• Mentor and grow Staff and Senior engineers across the team: provide architectural guidance, conduct high-quality technical reviews, and act as a force multiplier for team output.
• Collaborate with engineering and product leadership to influence organizational priorities, advocate for technical investments, and communicate technical strategy to executive stakeholders.
• Represent the team in cross-functional forums; produce clear, concise architectural documentation and roadmap artifacts accessible to both technical and non-technical audiences.
• Participate in on-call rotation and lead high-severity incident response, including post-mortems and systemic remediation.

What We're Looking For

• 12+ years of experience designing and operating large-scale backend or cloud infrastructure systems — with a strong preference for IoT, telematics, or hardware-adjacent domains.
• Demonstrated track record of setting technical direction across teams, driving architectural decisions, and aligning engineering roadmaps with business goals.
• Deep expertise with cloud-native infrastructure (AWS: EKS, Lambda, DynamoDB, SQS, Kinesis, etc.), distributed systems design, and high-throughput data pipelines.
• Strong hands-on experience with agentic AI workflows — not just prompt engineering, but architecting multi-agent systems, managing context, and building AI-native development practices at a team or org level.
• Proven ability to mentor Staff and Senior engineers, elevate team-wide engineering standards, and drive cultural change through influence rather than authority.
• Exceptional communication skills: able to distill complex architectural concepts for diverse audiences, from junior engineers to executive leadership.
• Ability to navigate ambiguity, manage competing priorities across groups, and lead through influence in a cross-functional environment.
• Experience with high-frequency ingest systems, time-series data, and streaming platforms (Kafka, Kinesis, or similar).
• Bachelor’s Degree in a Technical field, or equivalent experience.

Nice-to-Have

• Experience with IoT, telematics, embedded, or firmware-adjacent systems.
• Background in SRE practices, reliability engineering, and progressive delivery.
• Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, DataDog).
• Experience contributing to industry conversations: open-source projects, conference talks, or technical publications.
• Knowledge of hardware/firmware communication protocols (MQTT, BLE, CoAP, etc.).

AI-Native Expectations 

We use AI coding tools as a professional standard on this team. Here's what that means in practice:

• Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
• Judgment and ownership: AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship.
• Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
• Team leadership: You share what works. You automate prompting strategies that others can build on and help teammates earlier in their AI workflow adoption get up to speed.
• Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.

Our Benefits

• Competitive pay and benefits
• Medical, dental, vision, life and disability insurance plans (US and Canada)
• 401(k) plan with company matching (US) / RRSP with DPSP matching (Canada)
• Employee Assistance Program (EAP) for mental well-being
• Flexible PTO, plus several company-wide days off throughout the year
• Winter and Summer week-long synchronized company shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment
• Free Life360 Platinum Membership for your preferred circle
• Free Tile Products

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.

• Be a Good Person — We have a team of high-integrity people you can trust.
• Be Direct With Respect — We communicate directly, even when it’s hard.
• Members Before Metrics — We focus on building an exceptional experience for families.
• High Intensity, High Impact — We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

The Auth0 Team

We never compromise on identity. You should never compromise yours either. We want you to bring your whole self to Auth0. If you're passionate, practice radical transparency to build trust and respect, and thrive when you're collaborating, experimenting and learning – this may be your ideal work environment. We are looking for team members that want to help us build upon what we have accomplished so far and make it better every day. N+1 > N.

Here at Auth0 we’re focused on securing the world’s identities so innovators can innovate. We’re currently hiring a Senior Software Engineer for the Identity Security Insights team. The Insights team is responsible for modernizing the way Auth0 empowers our customers to seamlessly access and understand their Auth0 data and level up how they monitor and address security concerns.

What you will do:

• Help design secure, performant, cross-platform browser-based features.
• Collaborate inside your team to solve technical and non-technical challenges.
• Work closely with Product and Design to determine and optimize user experience.
• Build new and maintain existing features by contributing across the full technical stack.
• Debug and resolve production issues and implement fixes for them.
• Be a part of the team's on-call rotations.
• Evaluate new technologies and techniques to improve overall practices.

You are a good fit for this role if you:

• Have a passion for learning.
• Like owning, designing, and driving projects end to end.
• Enjoy greenfield development and iterating on existing features.
• Are comfortable writing and operating full-stack applications.
• Are familiar with Node.js and RESTful APIs.
• Have a good understanding of JavaScript and TypeScript.
• Have the ability to contribute in a team environment.
• Work well with technical and non-technical people to deliver high-value results.
• Have excellent communication and collaboration skills.
• Enjoy being part of a highly collaborative, remote-friendly environment.
• Have at least 5 years of software development experience.
• Familiarity with AI agent frameworks, orchestration tools, or the Model Context Protocol (MCP).

It is helpful, but not required, if you:

• Have experience working in distributed teams and work environments.
• Have experience working with React and Styled Components.
• Have experience working with data driven applications.
• Exposure to agentic application patterns: tool use, multi-step workflows, agent-to-agent communication.

#LI-HYBRID

#LI-SH1
P-1093.1_3427006

ABOUT THE ROLE 

• As the Global AI-Enhanced Quality Manager, you will define the future of quality at SharkNinja. You’ll lead global QA standards across human and AI-assisted channels, ensuring we deliver empathetic, consistent, and high-performing consumer experiences worldwide. You’ll modernize our approach to quality—shifting from traditional sampling to intelligent, AI-informed assessment—while ensuring our programs build trust and reinforce our Hear It, Feel It, Fix It philosophy. You’ll partner with Technology to influence how tools evolve and with regional leaders to ensure global alignment with local nuance. 

HERE’S WHAT YOU’LL DO 

• Lead global QA strategy, scorecard design, calibration models, and quality expectations across all regions and channels. 

• Modernize QA practices by integrating AI-supported evaluation, behavioral cues, and near-real-time performance visibility. 

• Partner with Technology to inform requirements, training data needs, and workflow enhancements for AI QA tools. 

• Drive global calibration practices to ensure fairness, alignment, and consistent agent evaluation. 

• Identify agent capability gaps and collaborate with Global L&D on training and coaching interventions. 

• Provide guidance to Operations, regional QA leaders, and BPO partners to maintain high standards and continuous improvement. 

• Translate QA learnings into clear actions that elevate empathy, trust, and the consumer experience. 

• Ensure SharkNinja provides all consumers with an extraordinary 5-star experience regardless of their preferred contact channel  

• Promote a culture of curiosity, quality, and rapid problem-solving in alignment with Hear It, Feel It, Fix It. 

• Travel to our international engagement centres as required  

HERE’S WHAT YOU’LL BRING 

• Bachelor’s degree in Business, Communications, Operations, or similar discipline; equivalent experience welcome. 

• 6+ years of experience in QA leadership, contact center operations, or consumer experience performance roles. 

• Deep understanding of QA frameworks, calibration practices, and performance drivers. 

• Experience working with or influencing AI-supported QA tools; ZOOM an asset. 

• Ability to drive global standardization while respecting cultural and linguistic differences. 

• Strong analytical mindset and ability to connect quality trends to meaningful actions. 

• Excellent communication skills with the ability to influence cross-regional leaders and partners. 

• Curiosity, adaptability, and a passion for elevating quality in modern, AI-enabled environments. 

• Fluency in English and French required. 

WHAT SUCCESS LOOKS LIKE 

• Global QA standards evolve into modern, AI-supported frameworks that improve accuracy and speed. 

• All markets show improved quality, consistency, and trust-building behaviors. 

• Calibration is strong, fair, and aligned across regions. 

• Clear, predictive quality signals help prevent issues before they impact consumers. 

• The QA function becomes a driver of brand trust through empathy, clarity, and action—embodying Hear It, Feel It, Fix It. 

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À PROPOS DU POSTE 

En tant que Responsable mondial(e) Qualité augmentée par l’IA, vous définirez l’avenir de la qualité chez SharkNinja. Vous piloterez les standards QA mondiaux sur les canaux humains et assistés par l’IA, en garantissant des expériences consommateurs empathiques, cohérentes et performantes à l’échelle mondiale. Vous moderniserez notre approche de la qualité — en passant d’un échantillonnage traditionnel à une évaluation intelligente alimentée par l’IA — tout en veillant à ce que nos programmes renforcent la confiance et incarnent notre philosophie Hear It, Feel It, Fix It. Vous collaborerez avec l’équipe Technologie pour influencer l’évolution des outils et avec les responsables régionaux afin d’assurer un alignement global respectant les spécificités locales. 

CE QUE VOUS FEREZ 

• Piloter la stratégie QA mondiale, la conception des scorecards, les modèles de calibration et les standards qualité dans toutes les régions et sur tous les canaux. 
   

• Moderniser les pratiques QA en intégrant des évaluations assistées par l’IA, des indicateurs comportementaux et une visibilité de la performance quasi en temps réel. 
   

• Collaborer avec l’équipe Technologie pour définir les besoins fonctionnels, les exigences en données d’entraînement et les améliorations des workflows des outils QA basés sur l’IA. 
   

• Déployer des pratiques de calibration mondiales afin de garantir équité, alignement et cohérence dans l’évaluation des agents. 
   

• Identifier les écarts de compétences des agents et collaborer avec l’équipe Global L&D sur les actions de formation et de coaching. 
   

• Fournir des orientations aux équipes Opérations, aux responsables QA régionaux et aux partenaires BPO afin de maintenir des standards élevés et une amélioration continue. 
   

• Traduire les enseignements QA en actions concrètes visant à renforcer l’empathie, la confiance et l’expérience consommateur. 
   

• Veiller à ce que SharkNinja offre à tous les consommateurs une expérience extraordinaire 5 étoiles, quel que soit leur canal de contact préféré. 
   

• Promouvoir une culture de curiosité, d’exigence qualité et de résolution rapide des problèmes, en cohérence avec Hear It, Feel It, Fix It. 
   

• Se déplacer dans nos centres internationaux d’engagement si nécessaire. 

CE QUE VOUS APPORTEREZ 

• Diplôme de niveau Licence en Commerce, Communication, Opérations ou discipline similaire ; expérience équivalente acceptée. 
   

• Plus de 6 ans d’expérience en leadership QA, opérations de centre de contact ou gestion de la performance en expérience consommateur. 
   

• Excellente maîtrise des frameworks QA, des pratiques de calibration et des leviers de performance. 
   

• Expérience dans l’utilisation ou l’influence d’outils QA assistés par l’IA ; la connaissance de ZOOM est un atout. 
   

• Capacité à piloter une standardisation mondiale tout en respectant les différences culturelles et linguistiques. 
   

• Solide esprit analytique et capacité à transformer les tendances qualité en actions concrètes et pertinentes. 
   

• Excellentes compétences en communication avec la capacité d’influencer des leaders et partenaires multi-régionaux. 
   

• Curiosité, adaptabilité et passion pour l’élévation des standards qualité dans des environnements modernes et enrichis par l’IA. 
   

• Maîtrise de l’anglais et du français requise. 

À QUOI RESSEMBLE LE SUCCÈS 

• Les standards QA mondiaux évoluent vers des frameworks modernes, soutenus par l’IA, améliorant la précision et la rapidité. 
   

• Tous les marchés démontrent une amélioration de la qualité, de la cohérence et des comportements générateurs de confiance. 
   

• La calibration est solide, équitable et alignée entre les régions. 
   

• Des indicateurs qualité clairs et prédictifs permettent de prévenir les problématiques avant qu’elles n’impactent les consommateurs. 
   

• La fonction QA devient un moteur de confiance pour la marque grâce à l’empathie, la clarté et l’action — incarnant pleinement Hear It, Feel It, Fix It. 

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 95.8 million monthly active users (MAU), as of December 31, 2025, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. 

We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

The AI Lab is a small, founder-led team operating like a zero-to-one startup inside Life360, building the company’s next chapter. Our mission is to transform Life360 from the app you open to find your family into an intelligent operating system families rely on daily. We design and build an AI-powered layer on top of our family graph, leveraging our core location technologies and global 100 million-user base to proactively surface what matters across location, schedules, and everyday life.

About the Job

Your role is owning how Life360's deterministic backend (location data, the family graph, behavioral signals, user insights) pairs with the probabilistic world of LLMs. You decide how those two sides talk to each other, and you make sure the seams don't show.

You own the inference pipeline end to end: model selection, serving infrastructure, evaluation loops, prompt and context strategy, and the cloud services that keep it all running in production. You make the tradeoffs between latency, cost, and quality. You build the eval harness that tells us whether the system is actually getting better, not just feeling different. If you do this job right, the product feels seamless to users, the data stays safe, and inference costs don't run away from us. You are a cloud engineer who is deeply fluent in how AI systems actually work in production. 

For candidates based in the US, the salary range for this position is $190,000 to $280,000 USD. For candidates based out of Canada, the salary range for this position is $220,000 to $260,000 CAD. Note: Please be aware that the job title for positions in Canada will be "Developer" in lieu of "Engineer." We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

• Architect the inference pipeline that turns Life360 into a context layer LLMs can reason over: soul files, family context, behavioral signals, document understanding.
• Choose models. Choose hosting. Decide what is self-hosted, API-based, fine-tuned, or prompt-engineered. Revisit those decisions as the landscape changes.
• Build the serving infrastructure. Latency budgets, batching, caching, fallbacks, graceful degradation. Make it run at scale before scale gets here.
• Build the eval loop. Know whether changes make the product better or worse, not just whether the demo works. This is the difference between a real product and a magic trick.
• Own the cost model. Track spend per user, per feature, per family. Find the levers (context compression, model routing, pre-computation) that keep unit economics working from a test group to millions.
• Define what gets persisted, what gets summarized, and what gets thrown away. The architecture decision of "what does our data look like to an LLM" lives with you.
• Set the bar for safety, privacy, and trust at the infrastructure layer. Sensitive categories filtered before they propagate. Encryption, access controls, audit trails built in, not bolted on.

What We’re Looking For

If there's one trait we need above all others, it's self-starter energy. As we've gotten bigger, we've been more open to roles with clearly defined schedules and processes. That doesn't work in a startup. We need people on founder hours, not office hours — with a huge desire to win. You'll be a cofounder of this initiative.

• You operate without a spec. You'd rather have a conversation, a sketch, and 24 hours than a 30-page PRD and a week.
• You ship every day. Not "make progress." Ship. Even rough. Even ugly. Momentum matters more than polish at this stage.
• You push for more. You won't wait to be told what to do. You demand excellence of yourself and the people around you.
• You hold strong opinions and change them when the evidence moves. You push back. You concede fast when wrong.
• You're a customer of what we build. Try it if you haven't.

The bar

• Deep engineering experience, with significant time spent building and running AI systems in production at meaningful scale. Real users, real load, real on-call.
• Fluent in modern LLM serving (vLLM, TGI, SGLang, hosted APIs — whatever's right for the job). No religion about it.
• You think in evals. You've built harnesses. You know the difference between vibes-based iteration and real progress because you've felt the pain of not having one.
• You can build a cloud system from the ground up. Pick the services, wire them together, make them reliable, keep the bill in check.
• Strong opinions about cost. You've seen inference bills run out of control and have instincts for where the leaks come from.
• AI-native in your daily workflow. Hands-on with Claude Code, Cursor, or equivalent. You think natively in agentic workflows, prompt engineering, context window management, MCP / function calling.
• Comfortable deciding with incomplete information. The spec will be a moving target. You don't need it to settle before you start building.
• Strong written communication. You write specs, decision records, and playbooks that an agent (and a human) can act on precisely.
• Experience with agent systems, retrieval pipelines, or long-context personalization.
• Privacy architecture experience in multi-user systems where context is shared across people with different rights to see it.
• You've built something where the data itself was the moat — and you understand why that's different from building on public data.

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.

Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 

• Be a Good Person - We have a team of high integrity people you can trust. 
• Be Direct With Respect - We communicate directly, even when it’s hard.
• Members Before Metrics - We focus on building an exceptional experience for families. 
• High Intensity High Impact - We do whatever it takes to get the job done. 

Our Commitment to Diversity

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.  

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

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About the Role:

As the Enterprise Applications AI Architect, you will lead the integration of AI and automation across Gusto’s enterprise applications ecosystem, transforming how internal systems connect, communicate, and operate. Sitting within the IT and Enterprise Applications organization, you will partner closely with Product, Engineering, Finance, People Tech, and Operations to bridge business needs with AI driven solutions. You will act as the connector between business requirements and AI frameworks, designing Model Context Protocols (MCPs) and AI agents that make enterprise workflows smarter, faster, and more autonomous. In line with Gusto’s FY26 Enterprise Systems strategy, you will help shift our ERP and Finance systems from reactive workflows to predictive, context aware, and self improving platforms, while ensuring security, compliance, and measurable impact. This role combines hands-on technical execution with strategic systems thinking, using integration fluency, AI literacy, and business empathy to create the connective tissue that allows AI to seamlessly augment enterprise operations.

About the Team:

This role will report to the Enterprise AIT team, a group focused on driving the intelligent transformation of Gusto’s enterprise systems. The Enterprise AIT team is responsible for integrating AI, automation, and advanced analytics across our internal applications ecosystem to improve scalability, efficiency, and decision-making. Partnering closely with Finance, Business Ops, IT, and Security, the team enables Gusto’s enterprise systems to become smarter, more predictive, and more adaptive. This is a new role, designed to expand the team’s capacity to operationalize AI within enterprise workflows and support Gusto’s broader Enterprise Systems strategy.

Here’s what you’ll do day-to-day:

• Translate business needs into AI workflows by partnering with Finance and Business Operations teams to identify automation opportunities and design agentic workflows that improve decision making and reduce manual effort.
• Develop and maintain Model Context Protocols (MCPs) that securely and reliably connect enterprise systems such as NetSuite, Zuora, and Jira to AI agents, with clear documentation and optimization.
• Create and manage intelligent agents that execute or augment core enterprise processes such as onboarding, billing support, and compliance monitoring using large language models and orchestration frameworks.
• Govern the full lifecycle of MCPs and agents, ensuring adherence to enterprise data governance, privacy, and security standards, including SOX compliance, auditability, and appropriate access controls.
• Measure and optimize impact by defining and tracking KPIs such as automation adoption, efficiency gains, agent accuracy, reliability, and cost performance, and using those insights to guide iteration.
• Enable and influence the organization by partnering with IT, Security, and business stakeholders to build reusable AI frameworks, coach teams on safe and effective AI driven workflows, and champion AI first practices across day to day operations.

Here’s what we're looking for:

• 8+ years in Business Systems Analysis, Enterprise Applications, or Automation roles, with a track record of delivering impact in complex environments.
• Demonstrated experience building and maintaining integrations across systems such as Jira, NetSuite, or similar, with a strong grasp of APIs, JSON, and RESTful service design.
• Hands-on knowledge of AI agent frameworks (for example LangChain, CrewAI, Semantic Kernel, MCP) and experience designing or maintaining Model Context Protocols or equivalent frameworks.
• Familiarity with leading LLM platforms (OpenAI, Anthropic, Gemini etc.) and practical experience with prompt engineering.
• Proficiency in Python or JavaScript for automation, orchestration, and building modular, scalable AI workflows that translate complex requirements into executable solutions.
• Strong documentation, analytical, and stakeholder communication skills, with the ability to clearly explain tradeoffs and align technical solutions with business needs.
• Passion for building secure, compliant, and explainable AI systems, embedding risk, privacy, and compliance considerations (including SOX and audit controls) into every solution, with a growth mindset and focus on clarity, iteration, and measurable outcomes.

Our cash compensation amount for this role is targeted at $150,000-$165,000 /yr in Denver & most remote locations, and $185,000-$205,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

Join our Mobile Tooling team, where we build foundational systems for Lyft's mobile engineers, enabling them to create stable, scalable, polished, and efficient mobile apps. We're passionate about developer experience, providing flexible tooling for rapid innovation.

Are you an enthusiastic engineer with a passion for crafting iOS productivity tools and robust infrastructure? Elevate your skills with our Mobile Tooling team, playing a crucial role in scaling development practices and iteration speed for hundreds of mobile engineers. We support apps with millions of lines of code, hundreds of modules, and industry-leading mobile build systems, keeping builds under 30 seconds locally and 15 minutes in CI.

We're proud of our apps, used by millions, reflected in excellent development practices and thoughtful code architecture designed for rapid releases. We focus on delightful user experiences, balancing our roadmap with a mix of developing new tools and infrastructure with refining existing ones based on direct feedback from our internal customers—other mobile engineers.

Watch some of our presentations:

• https://www.youtube.com/watch?v=-u40WqvdRsg
• https://www.youtube.com/channel/UC18tEI7YdUtg4bL9yxv1Xjg

Open source contributions:

• https://mobilenativefoundation.org/
• https://github.com/lyft/Hammer

Responsibilities:

• Work within our Mobile Tooling team and across the Lyft Mobile development community to create and maintain our mobile build and release infrastructure, building great tools for hundreds of mobile engineers to build, test, and release apps quickly, making their day-to-day joyful and productive.
• Guide your own and the team’s projects from start to finish, ensuring cross-functional alignment and buy-in. Exhibit strong project management capabilities, overcoming obstacles, and gaining necessary stakeholder support. Inform the Lyft Mobile community of any changes to the systems you oversee.
• Analyze systems and processes to identify areas for improvement and automation, including planning projects, assisting in prioritization, driving accurate estimations, and designing and leading architectural reviews to ensure performance, security, privacy, and maintainability.
• Dive into and contribute to the source code of existing tools and the open-source technologies we build on, keeping up-to-date with iOS and industry developments.  
• Explore, prototype, and implement prospective tools for scaling our infrastructure such as diving deep into Bazel remote execution or investigating new platform capabilities.
• Build out mobile specific AI agent workflows to enhance developer productivity, improve migration efficiency, and drive alignment across the codebase.
• Maintain and update Xcode, iOS versions, and third-party libraries dependencies.
• Write high-quality, well-tested, readable, and maintainable code.
• Identify, triage, debug, and resolve issues and bugs across various applications and tools.
• Share your knowledge by giving brown bags, tech talks, and promoting. appropriate tech and engineering best practices, and participate in code reviews to provide feedback to ensure best practices.
• Mentor junior engineers, support onboarding, participate in hiring processes or contribute to other engineering community investments.

Experience:

• Minimum 5+ years of software engineering industry experience
• Experience supporting large iOS or MacOS builds and Bonus: Bazel
• Experience in building command-line tools using python or bash
• Experience maintaining a high performance CI pipeline
• Strong knowledge of Swift and Bonus: SwiftUI
• Deep understanding of native mobile testing practices (unit, snapshot, and UI)
• Worked on and shipped large scale iOS applications or working on teams responsible for maintaining and operating infrastructure at a large-scale
• Great product sense; you care about usability and good design of your tools
• Ability to work with a low-ego, highly collaborative, and cross-functional team
• You have helped build teams that are motivated and value a strong sense of ownership and you have experience guiding teams through planning, prioritization, and execution of work.
• Bonus: Experience pursuing side projects or open-source projects
• Bonus: Experience with AI, agentic programming, and AI tools (such as Cursor) that enhance developer experience and productivity.

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our core purpose is to serve and connect, fostering a workplace where every team member belongs and has the opportunity to thrive.

Join our Mobile Tooling team, where we build foundational systems for Lyft's mobile engineers, enabling them to create stable, scalable, polished, and efficient mobile apps. We're passionate about developer experience, providing flexible tooling for rapid innovation.

Are you an enthusiastic engineer with a passion for crafting iOS productivity tools and robust infrastructure? Elevate your skills with our Mobile Tooling team, playing a crucial role in scaling development practices and iteration speed for hundreds of mobile engineers. We support apps with millions of lines of code, hundreds of modules, and industry-leading mobile build systems, keeping builds under 30 seconds locally and 15 minutes in CI.

We're proud of our apps, used by millions, reflected in excellent development practices and thoughtful code architecture designed for rapid releases. We focus on delightful user experiences, balancing our roadmap with a mix of developing new tools and infrastructure with refining existing ones based on direct feedback from our internal customers—other mobile engineers.

Watch some of our presentations:

• https://www.youtube.com/watch?v=-u40WqvdRsg
• https://www.youtube.com/channel/UC18tEI7YdUtg4bL9yxv1Xjg

Open source contributions:

• https://mobilenativefoundation.org/
• https://github.com/lyft/Hammer

Responsibilities:

• Work within our Mobile Tooling team to create and maintain our mobile build and release infrastructure, building great tools for hundreds of mobile engineers to build, test, and release apps quickly, making their day-to-day joyful and productive.
• Manage projects from start to finish, ensuring cross-functional alignment and buy-in. Exhibit project management capabilities, overcoming obstacles, and gaining necessary stakeholder support. Inform the Lyft Mobile community of any changes to the systems you oversee.
• Dive into and contribute to the source code of existing tools and the open-source technologies we build on, keeping up-to-date with iOS and industry developments. 
• Explore, prototype, and implement prospective tools for scaling our infrastructure such as diving deep into Bazel remote execution or investigating new platform capabilities.
• Build out mobile specific AI agent workflows to enhance developer productivity, improve migration efficiency, and drive alignment across the codebase.
• Maintain and update Xcode, iOS versions, and third-party libraries dependencies.
• Write high-quality, well-tested, readable, and maintainable code.
• Identify, triage, debug, and resolve issues and bugs across various applications and tools.
• Share your knowledge by giving brown bags, tech talks, and promoting. appropriate tech and engineering best practices, and participate in code reviews to provide feedback to ensure best practices.

Experience:

• Minimum 3+ years of software engineering industry experience
• Experience in one or more of the following: supporting large iOS or MacOS builds (Bonus: Bazel), building command-line tools using python or bash, or maintaining a high performance CI pipeline.
• Knowledge of Swift and Bonus: SwiftUI
• Understanding of native mobile testing practices (unit, snapshot, and UI)
• Worked on and shipped iOS applications
• Great product sense; you care about usability and good design of your tools
• Ability to work with a low-ego, highly collaborative, and cross-functional team
• Bonus: Experience pursuing side projects or open-source projects
• Bonus: Experience with AI, agentic programming, and AI tools (such as Cursor) that enhance developer experience and productivity.

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. 

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. 

Responsibilities:

• Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Evolve data model and data schema based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• SQL and MapReduce job tuning to improve data processing performance
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Experience:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
• Strong skills in Spark, Python (or similar scripting language), and SQL performance tuning
• Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools
• Solid understanding of ETL processes, workflow orchestration, and data warehousing
• A collaborative mindset—you’re comfortable working across teams to solve real-world problems

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

The opportunity
Developing the Unity platform means designing, building, testing, and maintaining the systems that empower developers to ship and operate live games at scale. The Diagnostics team sits inside Unity's LiveOps umbrella and is responsible for the data that tells creators how their games are actually behaving in the wild — crash reports from the Unity runtime, telemetry and observability across customer projects, product health analysis, and the Unity Dashboard surfaces that put that data back in developers' hands.

We are seeking a Senior Software Developer to join the Diagnostics team as a backend-leaning generalist. You will lead end-to-end design across our stack — ingest from millions of game clients, pipelines built on OpenTelemetry, a ClickHouse-based data lake, and the dashboard surfaces customers depend on — and you will partner closely with the Data, IAP, Profiler, and DevX teams on the integrations that make Diagnostics useful. Our stack is Go (primary), Kotlin, TypeScript, and C#. This is a small, autonomous team where senior judgment compounds: you will shape how the team designs, reviews, and ships, including how we work with agentic AI tools as a core part of the craft.

What you'll be doing

• Lead end-to-end design across ingest, pipelines, ClickHouse storage and query, and the dashboards developers rely on.
• Write and maintain high-quality Go services that handle attacker-controlled inputs at scale, with strong attention to reliability, performance, and clean data contracts.
• Raise the bar on code review and AI-assisted output review — set the norms the team uses when shipping work alongside coding agents.
• Partner across teams (Data, IAP, Unity Profiler, DevX, Analytics) to design integrations that hold up under real production load and real customer needs.
• Mentor engineers across the team, share patterns broadly, and decompose ambiguous problems into the highest-value path forward.

What we're looking for

• Production experience with Go in high-throughput services, plus comfort moving across a backend-leaning generalist surface (ingest, pipelines, OLAP/columnar storage and query, dashboards when needed).
• Demonstrated senior-level judgment: a track record of leading cross-cutting design, raising the engineering bar, and mentoring peers and ICs around you.
• Real, hands-on fluency with agentic AI workflows — you have used coding agents (Claude Code, Codex, Cursor agent mode, Gemini CLI, or similar) on real work, formed informed opinions about their trade-offs, and built harnesses, prompts, or sub-agents that hold up under variance. You review model output as rigorously as PR code, and can defend any line of it in your own words.
• Experience designing for and querying NoSQL or OLAP/columnar data stores (ClickHouse a plus), and a working understanding of data pipelines end to end.
• Excellent collaboration and communication, with the ability to work effectively across teams and time zones.

You might also have

• Genuine interest or experience in observability and telemetry (OpenTelemetry especially) — this is our bread and butter.
• Front-end experience with TypeScript and contributions to dashboard-style surfaces. Backend is the primary lens for this role; front-end capability is a welcome bonus, not a daily expectation.
• Production experience with Kotlin, or C# exposure on the engine side.
• Gaming background — context for how developers consume diagnostics, what game performance and profiling actually mean to them.
• Habits around handling user data responsibly: thinking about trust boundaries, retention, hygienic logging (no PII, no tokens, no full payloads), and threat-modeling features before writing them.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

The Role

We’re looking for dynamic and results-driven Senior Presales Consultants located in Western Canada to join our team, helping some of the world’s most innovative and fast-growing companies harness the power of AI and automation. This role requires a competitive spirit, a passion for cutting-edge technology, and the flexibility to adapt in a fast-paced, evolving environment. Partnering with our Enterprise Sales team, you will design impactful solutions that address clients’ unique challenges, driving success and measurable outcomes.

Learn more at www.ada.cx.

Responsibilities

• Develop a deep understanding of client goals, industry challenges, lead strategic discovery sessions to identify client pain points and position our offerings as the optimal choice.
• Deliver persuasive, value-driven presentations and demonstrations that showcase our competitive edge, particularly in AI-driven solutions.
• Leverage expertise in AI, LLMs, and generative models to create innovative, automation-first strategies.
• Educate clients on the transformative potential of AI technologies, aligning solutions to their business objectives.
• Adapt to changing client needs and market conditions, maintaining a proactive and solution-oriented mindset.
• Partner with cross-functional teams, including Product and Engineering, to ensure client feedback drives continuous innovation.
• Support the Sales team in navigating complex sales cycles, providing technical expertise and strategic guidance.
• Support revenue goals by driving technical alignment and showcasing the unique value of our solutions.
• Act as a trusted advisor, guiding clients to achieve success through our platform.

About You

• 6-8 years of experience in presales, solutions consulting, or presales engineering.
• Proven track record of winning deals by effectively communicating value and differentiation.
• Strong understanding of AI technologies, including LLMs and generative models, and their business applications.
• Technical proficiency with APIs, SaaS platforms (e.g., Salesforce, Shopify, Zendesk, Hubspot), and integration methodologies.
• Flexible and resilient, able to adapt to shifting priorities and deliver results under pressure.
• Exceptional communication, storytelling, and relationship-building skills.
• Collaborative team player with a passion for learning and innovation.
• Located in Western Canada
  #LI-NS1
  Compensation: $160,000 - $200,000k CAD OTE
  
  Pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.
  
  

L’opportunité
Développer la plateforme Unity consiste à concevoir, bâtir, tester et maintenir les systèmes qui permettent aux développeur(se)s de livrer et d’exploiter des jeux en direct à grande échelle. L’équipe Diagnostics fait partie de l’organisation LiveOps de Unity et est responsable des données qui indiquent aux créateur(rice)s comment leurs jeux se comportent réellement sur le terrain : rapports de plantage du runtime Unity, télémétrie et observabilité à travers les projets clients, analyses de la santé des produits, ainsi que les surfaces du Tableau de bord Unity qui redonnent ces données aux développeur(se)s.

Nous recherchons un(e) Développeur(se) logiciel Sénior pour se joindre à l’équipe Diagnostics en tant que généraliste à dominante backend. Il/elle va diriger la conception de bout en bout à travers notre pile — ingestion depuis des millions de clients de jeux, Pipelines bâtis sur OpenTelemetry, un lac de données basé sur ClickHouse, et les surfaces de tableau de bord dont dépendent les client(e)s — et collaborer étroitement avec les équipes Data, IAP, Profiler et DevX sur les intégrations qui rendent Diagnostics réellement utile. Notre pile est composée de Go (principalement), Kotlin, TypeScript et C#. Il s’agit d’une petite équipe autonome où le jugement sénior a un impact exponentiel : il/elle va définir la manière dont l’équipe conçoit, révise et livre ses solutions, y compris la façon dont nous utilisons les outils d’IA agentique comme partie intégrante de notre pratique de développement.

Ce que vous allez faire

• Diriger la conception de bout en bout pour l’ingestion, les Pipelines, le stockage et les requêtes ClickHouse, ainsi que les tableaux de bord sur lesquels les développeur(se)s s’appuient.
• Rédiger et maintenir des services Go de haute qualité capables de gérer à grande échelle des entrées contrôlées par des acteurs malveillants, avec une attention particulière à la fiabilité, à la performance et à la clarté des contrats de données.
• Rehausser les standards de revue de code et de revue de résultats assistés par l’IA — définir les normes utilisées par l’équipe lorsqu’elle livre des travaux en collaboration avec des agents de codage.
• Collaborer avec les différentes équipes (Data, IAP, Unity Profiler, DevX, Analytics) afin de concevoir des intégrations robustes en conditions de production et adaptées aux besoins réels des client(e)s.
• Encadrer les développeur(se)s de l’équipe, partager largement les bons modèles, et décomposer des problèmes ambigus en parcours concrets maximisant la valeur.

Ce que nous recherchons

• Avoir une expérience en production avec Go dans des services à haut débit, ainsi qu’une aisance sur un large éventail de tâches backend (ingestion, Pipelines, stockage et requêtes OLAP/colonnaires, tableaux de bord au besoin).
• Démontrer un jugement de niveau sénior : avoir mené des conceptions transversales, rehaussé le niveau de développement, et mentoré les pairs et collaborateur(rice)s individuel(le)s autour de soi.
• Posséder une réelle expérience pratique des flux de travail avec IA agentique : avoir utilisé des agents de codage (Claude Code, Codex, mode agent de Cursor, Gemini CLI ou équivalent) sur du travail concret, développé une opinion éclairée sur leurs compromis, et conçu des harnais, prompts ou sous-agents robustes face à la variance. Revoir les sorties de modèles avec la même rigueur que des revues de PR, et être capable de défendre chaque ligne de code en ses propres mots.
• Avoir de l’expérience en conception et en interrogation de magasins de données NoSQL ou OLAP/colonnaires (ClickHouse est un atout), ainsi qu’une compréhension pratique de bout en bout des Pipelines de données.
• Posséder d’excellentes aptitudes de collaboration et de communication, avec la capacité de travailler efficacement entre plusieurs équipes et fuseaux horaires.

Vous avez peut-être également

• Manifester un intérêt sincère ou une expérience en observabilité et télémétrie (OpenTelemetry en particulier) — c’est notre cœur de métier.
• Avoir une expérience front-end avec TypeScript et des contributions à des surfaces de type tableau de bord. Le backend est la priorité pour ce rôle; les compétences front-end sont un atout bienvenu, sans être une attente quotidienne.
• Avoir une expérience en production avec Kotlin, ou une exposition à C# du côté du moteur.
• Posséder un parcours dans le domaine du jeu vidéo — comprendre comment les développeur(se)s consomment les diagnostics, et ce que la performance et le profilage d’un jeu signifient concrètement pour eux/elles.
• Adopter des habitudes responsables dans la gestion des données des utilisateur(rice)s : tenir compte des frontières de confiance, de la rétention, de la journalisation hygiénique (aucune donnée personnelle identifiable, aucun jeton, aucun contenu complet de charge utile) et de la modélisation des menaces avant d’implémenter une fonctionnalité.

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste
• Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
Developing the Unity platform means designing, building, testing, and maintaining the systems that empower developers to ship and operate live games at scale. The Diagnostics team sits inside Unity's LiveOps umbrella and is responsible for the data that tells creators how their games are actually behaving in the wild — crash reports from the Unity runtime, telemetry and observability across customer projects, product health analysis, and the Unity Dashboard surfaces that put that data back in developers' hands.

We are seeking a Senior Software Developer to join the Diagnostics team as a backend-leaning generalist. You will lead end-to-end design across our stack — ingest from millions of game clients, pipelines built on OpenTelemetry, a ClickHouse-based data lake, and the dashboard surfaces customers depend on — and you will partner closely with the Data, IAP, Profiler, and DevX teams on the integrations that make Diagnostics useful. Our stack is Go (primary), Kotlin, TypeScript, and C#. This is a small, autonomous team where senior judgment compounds: you will shape how the team designs, reviews, and ships, including how we work with agentic AI tools as a core part of the craft.

What you'll be doing

• Lead end-to-end design across ingest, pipelines, ClickHouse storage and query, and the dashboards developers rely on.
• Write and maintain high-quality Go services that handle attacker-controlled inputs at scale, with strong attention to reliability, performance, and clean data contracts.
• Raise the bar on code review and AI-assisted output review — set the norms the team uses when shipping work alongside coding agents.
• Partner across teams (Data, IAP, Unity Profiler, DevX, Analytics) to design integrations that hold up under real production load and real customer needs.
• Mentor engineers across the team, share patterns broadly, and decompose ambiguous problems into the highest-value path forward.

What we're looking for

• Production experience with Go in high-throughput services, plus comfort moving across a backend-leaning generalist surface (ingest, pipelines, OLAP/columnar storage and query, dashboards when needed).
• Demonstrated senior-level judgment: a track record of leading cross-cutting design, raising the engineering bar, and mentoring peers and ICs around you.
• Real, hands-on fluency with agentic AI workflows — you have used coding agents (Claude Code, Codex, Cursor agent mode, Gemini CLI, or similar) on real work, formed informed opinions about their trade-offs, and built harnesses, prompts, or sub-agents that hold up under variance. You review model output as rigorously as PR code, and can defend any line of it in your own words.
• Experience designing for and querying NoSQL or OLAP/columnar data stores (ClickHouse a plus), and a working understanding of data pipelines end to end.
• Excellent collaboration and communication, with the ability to work effectively across teams and time zones.

You might also have

• Genuine interest or experience in observability and telemetry (OpenTelemetry especially) — this is our bread and butter.
• Front-end experience with TypeScript and contributions to dashboard-style surfaces. Backend is the primary lens for this role; front-end capability is a welcome bonus, not a daily expectation.
• Production experience with Kotlin, or C# exposure on the engine side.
• Gaming background — context for how developers consume diagnostics, what game performance and profiling actually mean to them.
• Habits around handling user data responsibly: thinking about trust boundaries, retention, hygienic logging (no PII, no tokens, no full payloads), and threat-modeling features before writing them.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

This is Engineering at Lattice

Lattice’s Engineering team is continuously improving both our product and our craft. We build maintainable, performant systems using modern technologies, and we collaborate closely with product and design to deliver agentic, high quality user experiences.

Our AI Engineering team is building the systems that power how AI works across Lattice. Within the Quality sub-team, we focus on how AI systems are evaluated, measured, and improved over time. You’ll contribute to the infrastructure and tooling that help us understand how our AI performs in production and ensure we’re building reliable, high-quality experiences for our customers.

What You Will Do

AI Evaluation & Quality Systems

• Contribute to AI evaluation pipelines, including offline evals, production tracing, and feedback systems.
• Implement and maintain performance metrics (e.g., response quality, task success, reliability) using established frameworks.
• Help create and maintain evaluation datasets and test cases to identify regressions.
• Analyze results and propose incremental improvements to model and agent quality.

AI Systems & Infrastructure

• Contribute to AI system components such as RAG pipelines, retrieval systems, and multi-step workflows within existing architectures.
• Write clean, maintainable Python code that integrates with LLM providers and internal services.
• Support improvements to system reliability, observability, and performance in production.

Execution & Team Contribution

• Deliver well-scoped projects with guidance from more senior engineers.
• Break down tasks, make steady progress, and be proactive in unblocking yourself by asking for help when needed.
• Contribute to team excellence through code reviews, documentation, and knowledge sharing
• Collaborate with cross-functional partners to ship user-facing features.

What You Will Bring to the Table

Experience

• 2–5 years of professional software engineering experience.
• Experience contributing to production systems as part of a team.
• Exposure to AI/ML systems with a strong interest in LLM-powered products.
• Experience debugging systems, working with data, and iterating on performance.

Technical Skills

• Proficiency in Python or a similar language.
• Strong understanding of LLM concepts (prompting, RAG, evaluation).
• Familiarity with backend systems, APIs, and cloud environments (e.g., AWS, GCP).
• Exposure to logging, monitoring, or debugging tools.
• Interest in learning tools like LangGraph, vector databases, and evaluation platforms.

Ways of Working

• Strong ownership: you reliably deliver high-quality work on well defined tasks, on time and communicate progress clearly.
• Learning mindset: you actively seek feedback and improve quickly. 
• Pragmatic and product-minded: you focus on solving problems effectively and not perfectly.
• Collaborative: you contribute to team discussions and uphold engineering best practices.
• Growth-oriented: you actively seek feedback and expand your skills in AI engineering.

Nice to Have

• Hands-on experience with LLMs, prompt iteration, or MLOps. 
• Familiarity with vector databases or retrieval systems.
• Exposure to experimentation, metrics, or basic statistical analysis.
• Familiarity with TypeScript. Our full-stack engineers use it and cross-pollination is valuable.

Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.

The estimated annual cash salary for this role is CAD $90,000 - CAD $120,000. This position is also eligible for stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.

Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.

#LI-Remote

What You'll Be Doing:

• Work directly on building, deploying, and iterating on machine learning models and agentic workflow features that address real customer needs
• Apply ML techniques to improve accuracy and overall system performance, ensuring solutions are robust, reliable, and production-ready for customers
• Improve, implement, and validate ML models and agentic workflows supporting submission intake, underwriting decision-making, and automation tasks
• Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions
• Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions
• Monitor production systems via logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution
• Take end-to-end ownership of problems — implementing fixes or coordinating with engineering and infrastructure teams as needed
• Partner closely with Data Science and Engineering teams to iterate quickly and deliver high-impact solutions

Who We Hope You Are:

• Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, Artificial Intelligence, or a related field with foundational knowledge in machine learning, deep learning, and natural language processing.
• Experience working in a fast-paced, cross-functional environment
• 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role delivering ML solutions in production
• Experience working directly with customers or stakeholders to translate business needs into technical solutions
• Hands-on experience adapting, extending, and deploying ML/LLM systems (including agentic workflows and prompt engineering) in real-world use cases
• Strong experience with experimentation, evaluation, and monitoring pipelines, including analyzing production logs and debugging systems
• Experience deploying and iterating on ML systems in cloud environments in collaboration with engineering teams
• Proven track record of ownership — driving issues through to resolution in production systems

Base Salary Range: $155,000 - $180,000
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package also includes bonus, stock options, benefits and additional perks. 

Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato’s AI/ML-driven platform leverages deep reinforcement learning to help insurance companies optimize the portfolio of risks they insure, allowing them to continue to provide fair and equitable pricing in difficult-to-price areas. Our category-defining ‘RiskOps’ solution drives better underwriting decisions by operationalizing underutilized data investments and surfacing real-time risk and portfolio insights. We focus on putting insurance underwriters back in the driver’s seat, helping them meet their goals while providing an important service to society.

Role Overview

As a Senior Product Manager – Distribution, you’ll spearhead the development of tools that enable insurers to manage and optimize their distribution channels effectively. Your focus will be on creating solutions that streamline agent onboarding, licensing, compensation, and performance tracking, while ensuring compliance across various jurisdictions. You’ll collaborate closely with engineering, design, and go-to-market teams to deliver products that meet the evolving needs of carriers, MGAs, and brokers.

What You’ll Be Doing

• Define and execute the product roadmap for distribution management, focusing on agent/broker onboarding, licensing, and compliance automation.
• Develop features that provide real-time access to agent and agency data, facilitating efficient service requests and status updates.
• Implement performance analytics tools to monitor producer effectiveness, enabling data-driven decisions for channel optimization.
• Design and manage commission structures and incentive programs, ensuring accurate and timely compensation for distribution partners.
• Ensure seamless integration with third-party systems, such as comparative raters and agency management platforms, to enhance operational efficiency.
• Stay abreast of regulatory changes and ensure the product remains compliant with state and federal insurance distribution laws.

Who We Hope You Are

• 5+ years of product management experience
• 3+ years of focus on insurance distribution.
• Strong understanding of P&C insurance distribution models, including captive agents, independent agents, brokers, and digital channels.
• Proven track record of delivering SaaS products that address complex regulatory requirements and integrate with existing insurance systems.
• Excellent communication skills, with the ability to translate technical concepts into clear business value propositions.
• Experience working in cross-functional teams, collaborating with engineering, design, legal, and sales departments.
• A BA/BS degree in business, computer science, engineering, or a related field is required.
• Preferred: MBA or MS in Technology Management, Data & Analytics, or Insurance Management or other insurance related fields.
• Ability to travel to East Coast roughly 20% of the time or based on product spike timing

$170,000 - $200,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package also includes stock options, bonus, benefits and additional perks. 

Here at Federato, your capabilities are important, but culture fit is quintessential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you! 

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at talent@federato.ai

About Behavox

Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.

At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.

Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.

Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.

About the Role

The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities.

At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes.

What You'll Bring

• Expert Java engineering: Deep understanding of Java internals — GC tuning, Collections Framework, advanced concurrency (java.util.concurrent, multithreading), NIO/NIO2, performance profiling, and heap-dump analysis. Mastery of Spring Framework (IoC/DI, bean lifecycle, Spring Boot). SOLID principles, Clean Code practices, and GoF design patterns
• Software architecture and design patterns: Expertise in monolith and microservices architectural styles — including migration patterns and domain-driven decomposition. Inter-process communication design (REST, gRPC, messaging), transaction management in distributed systems (Sagas, 2PC), CQRS, Event Sourcing, and external API design focused on scalability, security, and documentation
• Cloud-native platforms and infrastructure: Experience designing high-availability and high-load systems on GCP (preferred), AWS, and Azure. Cloud security best practices: IAM, VPC, data encryption, JWT/JWS/JWE. Infrastructure as Code (Terraform or equivalent) and Twelve-Factor App methodology
• Observability, reliability and deployment: Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting. SLI/SLO/SLA frameworks. Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases
• AI-assisted engineering: Practitioner-level command of agentic AI tools applied to software engineering — encompassing prompt engineering techniques, AI context management and its limitations, sub-agents, skills and plugins, multi-agent orchestration, and team-of-agents architectures. Experience with Claude Code (Anthropic), Codex (OpenAI), or equivalent is mandatory

What You'll Do

• Architecture and technology leadership: Lead high-level design for complex, cross-service features. Evaluate and select appropriate technologies, frameworks, and architectural patterns before delegating implementation. Produce and maintain architecture documentation: design docs, ADRs, tech specs, and wiki pages
• Advanced Java feature implementation: Own and implement critical product components — including prototyping, architecture validation, and production-grade code. Ensure correctness, performance, and long-term maintainability with comprehensive test coverage (unit, integration, contract, component)
• Technical roadmap contribution: Drive the engineering agenda for assigned product areas. Proactively identify gaps in requirements, architectural limitations, and technical risks. Contribute to product roadmap planning and delivery estimation. Participate in hiring processes
• Cross-functional technical communication: Drive technical communication across engineering, product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical stakeholders. Produce design documents and participate in tech talks and knowledge-sharing sessions
• AI-augmented engineering: Direct agentic AI tools (Claude Code, Codex, or equivalent) across the full engineering workflow — code generation, testing, refactoring, debugging, and documentation. Demonstrated ability to apply advanced prompt engineering, manage AI context limitations, compose multi-agent orchestration workflows, and critically evaluate AI-generated outputs for correctness, security, and quality. Ability to establish guardrails and improve agent configurations to raise the quality bar. AI proficiency amplifies — it does not replace — deep engineering judgment and technical accountability

What We Offer

• The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies
• A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence
• A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families
• Modern, comfortable offices in Montreal/ Toronto downtown, with an expectation of working from the office 1 day per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate remote work for candidates who live in other Canadian cities
• A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance

About Our Process

Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.

As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.

We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.

Please note the following:

• A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification.
• Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.

About Behavox

Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.

At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.

Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.

Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.

About the Role

The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities.

At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes.

What You'll Bring

• Expert Java engineering: Deep understanding of Java internals — GC tuning, Collections Framework, advanced concurrency (java.util.concurrent, multithreading), NIO/NIO2, performance profiling, and heap-dump analysis. Mastery of Spring Framework (IoC/DI, bean lifecycle, Spring Boot). SOLID principles, Clean Code practices, and GoF design patterns
• Software architecture and design patterns: Expertise in monolith and microservices architectural styles — including migration patterns and domain-driven decomposition. Inter-process communication design (REST, gRPC, messaging), transaction management in distributed systems (Sagas, 2PC), CQRS, Event Sourcing, and external API design focused on scalability, security, and documentation
• Cloud-native platforms and infrastructure: Experience designing high-availability and high-load systems on GCP (preferred), AWS, and Azure. Cloud security best practices: IAM, VPC, data encryption, JWT/JWS/JWE. Infrastructure as Code (Terraform or equivalent) and Twelve-Factor App methodology
• Observability, reliability and deployment: Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting. SLI/SLO/SLA frameworks. Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases
• AI-assisted engineering: Practitioner-level command of agentic AI tools applied to software engineering — encompassing prompt engineering techniques, AI context management and its limitations, sub-agents, skills and plugins, multi-agent orchestration, and team-of-agents architectures. Experience with Claude Code (Anthropic), Codex (OpenAI), or equivalent is mandatory

What You'll Do

• Architecture and technology leadership: Lead high-level design for complex, cross-service features. Evaluate and select appropriate technologies, frameworks, and architectural patterns before delegating implementation. Produce and maintain architecture documentation: design docs, ADRs, tech specs, and wiki pages
• Advanced Java feature implementation: Own and implement critical product components — including prototyping, architecture validation, and production-grade code. Ensure correctness, performance, and long-term maintainability with comprehensive test coverage (unit, integration, contract, component)
• Technical roadmap contribution: Drive the engineering agenda for assigned product areas. Proactively identify gaps in requirements, architectural limitations, and technical risks. Contribute to product roadmap planning and delivery estimation. Participate in hiring processes
• Cross-functional technical communication: Drive technical communication across engineering, product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical stakeholders. Produce design documents and participate in tech talks and knowledge-sharing sessions
• AI-augmented engineering: Direct agentic AI tools (Claude Code, Codex, or equivalent) across the full engineering workflow — code generation, testing, refactoring, debugging, and documentation. Demonstrated ability to apply advanced prompt engineering, manage AI context limitations, compose multi-agent orchestration workflows, and critically evaluate AI-generated outputs for correctness, security, and quality. Ability to establish guardrails and improve agent configurations to raise the quality bar. AI proficiency amplifies — it does not replace — deep engineering judgment and technical accountability

What We Offer

• The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies
• A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence
• A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families
• Modern, comfortable offices in Montreal/ Toronto downtown, with an expectation of working from the office 1 day per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate remote work for candidates who live in other Canadian cities
• A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance

About Our Process

Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.

As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.

We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.

Please note the following:

• A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification.
• Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.

About Behavox

Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.

At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.

Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.

Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.

About the Role

The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities.

At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes.

What You'll Bring

• Expert Java engineering: Deep understanding of Java internals — GC tuning, Collections Framework, advanced concurrency (java.util.concurrent, multithreading), NIO/NIO2, performance profiling, and heap-dump analysis. Mastery of Spring Framework (IoC/DI, bean lifecycle, Spring Boot). SOLID principles, Clean Code practices, and GoF design patterns
• Software architecture and design patterns: Expertise in monolith and microservices architectural styles — including migration patterns and domain-driven decomposition. Inter-process communication design (REST, gRPC, messaging), transaction management in distributed systems (Sagas, 2PC), CQRS, Event Sourcing, and external API design focused on scalability, security, and documentation
• Cloud-native platforms and infrastructure: Experience designing high-availability and high-load systems on GCP (preferred), AWS, and Azure. Cloud security best practices: IAM, VPC, data encryption, JWT/JWS/JWE. Infrastructure as Code (Terraform or equivalent) and Twelve-Factor App methodology
• Observability, reliability and deployment: Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting. SLI/SLO/SLA frameworks. Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases
• AI-assisted engineering: Practitioner-level command of agentic AI tools applied to software engineering — encompassing prompt engineering techniques, AI context management and its limitations, sub-agents, skills and plugins, multi-agent orchestration, and team-of-agents architectures. Experience with Claude Code (Anthropic), Codex (OpenAI), or equivalent is mandatory

What You'll Do

• Architecture and technology leadership: Lead high-level design for complex, cross-service features. Evaluate and select appropriate technologies, frameworks, and architectural patterns before delegating implementation. Produce and maintain architecture documentation: design docs, ADRs, tech specs, and wiki pages
• Advanced Java feature implementation: Own and implement critical product components — including prototyping, architecture validation, and production-grade code. Ensure correctness, performance, and long-term maintainability with comprehensive test coverage (unit, integration, contract, component)
• Technical roadmap contribution: Drive the engineering agenda for assigned product areas. Proactively identify gaps in requirements, architectural limitations, and technical risks. Contribute to product roadmap planning and delivery estimation. Participate in hiring processes
• Cross-functional technical communication: Drive technical communication across engineering, product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical stakeholders. Produce design documents and participate in tech talks and knowledge-sharing sessions
• AI-augmented engineering: Direct agentic AI tools (Claude Code, Codex, or equivalent) across the full engineering workflow — code generation, testing, refactoring, debugging, and documentation. Demonstrated ability to apply advanced prompt engineering, manage AI context limitations, compose multi-agent orchestration workflows, and critically evaluate AI-generated outputs for correctness, security, and quality. Ability to establish guardrails and improve agent configurations to raise the quality bar. AI proficiency amplifies — it does not replace — deep engineering judgment and technical accountability

What We Offer

• The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies
• A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence
• A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families
• Modern, comfortable offices in Montreal/ Toronto downtown, with an expectation of working from the office 1 day per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate remote work for candidates who live in other Canadian cities
• A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance

About Our Process

Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.

As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.

We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.

Please note the following:

• A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification.
• Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.

As a Senior ML Scientist at Ada, you will own the quality and reliability of the AI features that power our AI Agent platform for customer support. You will partner with Product Managers, Engineers, and Designers to frame problems, design experiments, and make evidence-based decisions that improve outcomes for customers and end users. You will primarily deliver simple and highly reusable evaluation and analysis code, and you will collaborate with engineers to productionize changes. To be successful, you will develop a deep understanding of Ada’s product and empathize with our users to find the best ways to solve customer problems. If you’re excited to shape the future of AI-driven customer support, we would love to hear from you.

About You

• 5+ years of industry experience as a Data Scientist, Machine Learning Engineer, or similar with shipped work that moved product metrics
• Deep experience applying large language models to customer problems
• Excellent communicator, able to explain experimental results and complex ML concepts to diverse audiences
• You design reliable experiments and datasets that translate to production impact
• Strong software skills in Python, writing clean, production-ready code and documents
   

Outcomes

• Run rapid, reliable experiments with sound statistical methods, reproducible pipelines, and clear readouts that drive product decisions
• Lead design choices across model selection, retrieval and grounding, prompting, and tool use, framing tradeoffs in quality, safety, cost, and latency
• Reduce critical AI failure modes, for example hallucinations and prompt injection, through targeted testing and red teaming
• Partner with PM, Engineering, and Design to prioritize customer use cases and failure modes, turning insights into changes that improve automated resolutions, CSAT, cost per conversation, and latency
• Coach and mentor peers in the Product Development org in AI feature design, experimentation, and measurement. Provide crisp and actionable feedback to help raise the standard for AI feature quality

Role Overview:

We are looking for an Software Engineer, AI Systems to help build the backend architecture behind our emerging agent systems. This role sits at the intersection of software engineering, data infrastructure, and applied AI. You will work across the stack to design and implement systems that power LLM-driven product capabilities — from orchestration and tool integration to evaluation and production deployment. You’ll collaborate closely with product managers, designers, and engineers to bring AI-powered workflows directly into our underwriting platform. This is a high-impact role with significant ownership over both experimentation and production implementation. This role is ideal for engineers who enjoy working across layers of the stack and are excited about shaping how agent systems operate inside real production software.

What You'll Be Doing:

• Design and implement agent workflows and orchestration systems for AI-powered product features
• Build backend services that integrate LLMs with structured insurance data and platform APIs
• Develop infrastructure for tooling, context management, and agent execution
• Contribute to internal frameworks supporting prompt iteration, evaluation, and observability
• Partner with product and design to translate underwriting workflows into AI-enabled product experiences
• Help define architectural patterns for building reliable AI-native features in production
• Work across backend systems, data infrastructure, and product integrations to ship user-facing capabilities

Who We Hope You Are:

• 10+ years of experience in backend engineering, data engineering, or related roles
• Strong experience building production backend systems and APIs
• Professional experience working with LLMs, agent systems, or generative AI applications
• Hands-on experience with prompt design, tool-based agent architectures, or LLM workflows
• Proficiency in Python or similar backend languages
• Experience working with cloud infrastructure and distributed systems
• Comfort working across layers of the stack, from infrastructure to product integration
• Strong curiosity about emerging AI architectures and agent patterns
• Comfortable navigating ambiguity and working in a fast-paced, collaborative environment

Bonus Points if...

• Experience building production systems involving LLMs, agents, or prompt pipelines
• Experience designing internal platforms or developer tooling
• Familiarity with insurance, fintech, or B2B SaaS
• Contributions to open-source AI or data infrastructure projects
• Experience with Typescript

Why This Role Matters

You will help build the core infrastructure that powers the next generation of Federato’s platform. Your work will shape how AI systems interact with underwriting workflows and how intelligent automation is delivered to customers. This is an opportunity to work on foundational architecture for agent-driven software, with real-world impact in one of the world’s largest industries.

Base Salary: $215,000 - $250,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package includes stock options, benefits and additional perks. 

This is Engineering at Lattice

Lattice’s Engineering team is continuously improving both our product and our craft. We build maintainable, performant systems using modern technologies, and we collaborate closely with product and design to deliver exceptional user experiences.

Our AI Engineering team is building the systems that power how AI works across Lattice. We’ve laid the foundations: traces are flowing and evals are running - and we’re now focused on defining how our AI products are measured, improved, and trusted at scale. This is a high-ownership role where you’ll help shape evaluation methodology, agent architecture, and the core systems that determine how AI performs in production.

What You Will Do

Evaluation Infrastructure

• Design and ship a robust, end-to-end AI evaluation framework, covering offline evals, production tracing, and human-in-the-loop feedback loops, connected across all of Lattice’s AI use cases.
• Define and instrument the metrics that actually matter: agent task completion, hallucination rates, response quality, user engagement, and downstream business outcomes.
• Build and maintain evaluation datasets, test harnesses, and automated scoring pipelines to catch regressions before they ship.
• Identify and surface the drivers of agent quality improvement, giving the team clear signals on where to invest.

Agent Architecture & Infrastructure

• Architect and implement reusable agent infrastructure: multi-turn conversation workflows, recommendation services, LLM DAGs, and standardized agent topology patterns using LangGraph.
• Build and scale RAG pipelines and retrieval infrastructure, including vector store management and retrieval quality optimization.
• Make principled build vs. buy decisions across LLM providers, agent frameworks, and evaluation tooling, balancing capability, cost, latency, and vendor risk.
• Contribute to production AI systems with a strong focus on reliability, observability, and performance, not just prototypes.

Technical Leadership & Collaboration

• Own projects end-to-end: scope them, drive them to completion, and bring in the right people at the right time.
• Partner with engineering leads and managers to inform technical direction on agent quality and evaluation strategy you’ll be expected to hold intelligent, substantive conversations about methodology, not just implementation.
• Raise the AI engineering bar across the broader team through code review, documentation, and thoughtful technical debate.

What You Will Bring to the Table

Experience

• 5+ years of professional software engineering experience with significant time spent on production AI/ML systems.
• Deep hands-on experience with LLM-based systems: prompt engineering, RAG pipelines, agent orchestration, evaluation metrics, and model fine-tuning.
• Proven ability to work with data and understand statistics, especially in experiments.
• Proven ability to build and operate agentic AI systems in production: multi-step workflows, multi-agent topologies, and the failure modes that come with them.
• Strong command of AI evaluation: you’ve built eval frameworks before, you know the difference between a good eval and a vanity metric, and you have opinions about it.
• Production-grade Python engineering: clean, maintainable, testable code.

Technical Skills

• LangGraph or comparable agent orchestration frameworks. You’ve built real agent workflows with it, not just tutorials.
• LangSmith or comparable LLM observability tooling for tracing, evaluation, and debugging.
• Reads AI papers & blogs regularly and is a trusted source of AI trends.
• Vector databases (Pinecone or similar) and retrieval system design.
• AWS ecosystem or other cloud infrastructure (ex GCP). Comfortable with lambdas, queues, and cloud-native architecture.
• Familiarity with TypeScript is a plus. Our full-stack engineers use it and cross-pollination is valuable.

Ways of Working

• Clear eyes: you see problems as they are, not as you’d like them to be. You surface hard truths early and address them directly.
• Ship, shipmate, self: you prioritize the product and your teammates. Low ego, high ownership.
• You’re as comfortable in ambiguity as you are in well-defined problems: early foundations mean you’ll encounter both.
• Strong technical communication: you can debate evaluation methodology with an AI lead and explain it clearly to an EM in the same afternoon.

Nice to Have

• Experience with RLHF, LoRA, or other model adaptation techniques.
• Background in traditional ML (supervised/unsupervised, neural networks) and knowing when an LLM is overkill.
• Experience with MLOps tooling: MLflow, DataDog, CI/CD pipelines for model deployment.
• Published work, conference talks, or open-source contributions in AI/ML.
• Experience in HR tech, people analytics, or other domains where data quality and trust are critical.

Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.

The estimated annual cash salary for this role is CAD $123,750 - CAD $165,000. This position is also eligible for stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.

Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.

#LI-Remote

The Role

AI is no longer a roadmap item — it's the operating system for how modern growth teams win. We're hiring a AI Native Engineer, Growth Marketing to be the hands-on builder who embeds AI into every corner of how our Growth team works: performance marketing, creative production, CRM, landing pages, growth ops, and beyond.

This is a rare hybrid role. You're equal parts engineer and growth practitioner — someone who can write a Python script in the morning, ship a Braze-connected AI workflow by afternoon, and explain the business impact to a non-technical stakeholder by EOD. You don't need to have done this at scale before — you need to be obsessed with building at the frontier of what's possible and have the technical chops to make it real.

You'll report directly to the Head of Growth and work across every subteam in the Growth org as their embedded AI engineer.

Responsibilities:

• Performance Marketing: Build AI-powered tools to automate bid strategy analysis, budget pacing alerts, creative performance scoring, and anomaly detection across paid channels (SEM, Meta, Affiliate, YouTube, etc.)
• Creative Studio: Develop AI workflows for ad copy generation, creative brief automation, image asset variation at scale, and creative performance feedback loops between analytics and the studio team
• CRM & Lifecycle: Implement AI-driven personalization and send-time optimization across email, SMS, push, and in-app channels; build agentic workflows that pull Snowflake data, generate segment logic, and trigger Braze campaigns with minimal manual intervention
• Landing Pages & Conversion: Automate LP variant generation, headline testing ideation, and personalization logic by audience segment or traffic source
• Growth Ops: Build internal AI tools — dashboards, Slack bots, report generators — that reduce repetitive analytical work and accelerate decision-making across the team
• Growth Product: Partner with Product and Engineering to identify where AI-powered features (recommendations, dynamic content, smart nudges) can accelerate funnel conversion and retention
• Tooling & Infrastructure: Evaluate, implement, and maintain the AI/ML toolstack that powers Growth — from LLM APIs to workflow orchestration tools to data pipelines

What Success Looks Like

• A measurable reduction in manual hours across mundane Growth through AI-driven automation
• At least 5-10 production-grade AI tools or workflows live and actively used by the team within the first 4 months
• CRM campaigns that are more personalized, faster to launch, and higher-performing because of AI assist
• Creative output volume increases without a proportional increase in headcount
• The Growth team thinks of you first when they want to do something smarter, faster, or at scale

Qualifications:

• 2–5 years of engineering or technical experience, with meaningful hands-on work applying AI/LLMs to real business problems (side projects count — we care about what you've built, not just where)
• Proficiency in Python or Typescript and comfort working with APIs (OpenAI, Anthropic, or similar LLM providers)
• Build repeatable skills or plugins for popular LLM clients to empower your team
• Educate and mentor team members to become more AI-Native
• A builder's mentality: you'd rather ship a working prototype than write a spec about one
• Ability to work cross-functionally and translate between technical and non-technical stakeholders

Preferred requirements:

• Experience with workflow orchestration tools (Agent SDK, n8n, Make, Zapier, or custom Typescript/Python pipelines)
• Prior work at a DTC subscription company or growth-stage startup
• Familiarity with prompt engineering, RAG architectures, or fine-tuning
• Experience building internal tools used by non-technical teams
• Familiarity with marketing platforms and data infrastructure — ideally some combination of Braze, Google Ads, Meta Ads Manager, Snowflake, or equivalent
• Strong enough understanding of growth marketing to ask the right questions and build tools that practitioners actually want to use

Technologies You'll Use

• LLM APIs: OpenAI, Anthropic, and/or open-source models
• CRM & Marketing: Braze, Google Ads, Meta Ads Manager
• Data: Snowflake, SQL, Tableau, dbt, Hex
• Orchestration: Typescript, Agent SDK, Vercel AI SDK, Python, n8n, Make, or similar
• Collaboration: Slack, Notion, Jira, Google Workspace

Benefits

 🩺 Health Insurance coverage (Canada Life)

⛱ Flexible Paid Time Off

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave.

🕯 Compassionate Leave: 3-5 days each time the need arises

🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly.

🧘🏽‍♀️ Wellness perks: fitness subsidies to build a healthy lifestyle

👩🏾‍🏫 Personalized Spanish coach

🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

The role, in a nutshell:

We're looking for a Staff Software Engineer to join our Developer Platform team. This team builds the “Factory” that powers Chainguard Engineering—the internal infrastructure, automation, and AI tooling that lets our engineers ship secure software at scale.

This is a high-impact, high-visibility role on a team whose mission is to eliminate developer toil and shorten the path from a CVE being issued to a hardened artifact landing in our customers' hands. The team owns the internal platform end-to-end—monorepo CI/CD, our Agentic AI platform (DriftlessAF), shared build infrastructure, and the foundation for how changes get validated, reviewed, and landed. AI agents are reshaping how change reaches production, and a key focus this year is scaling that substrate well beyond what traditional PR-based workflows can support, while keeping safety and review quality high. You'll own meaningful slices of these problems, contribute to direction-setting on the team, and partner with engineering leaders across the org to drive DORA-aligned outcomes and deliver a standardized paved road for new and existing products to ship on.

What you'll do

• Take ownership of significant pieces of the Developer Platform, across monorepo CI/CD, the Agentic AI platform (DriftlessAF), shared build infrastructure, or the change-throughput substrate, and contribute to technical direction alongside the rest of the team.
• Improve the speed, reliability, and developer experience of the monorepo CI/CD pipeline so engineers spend more time shipping and less time waiting on or debugging builds.
• Contribute to the next generation of change throughput — exploring substrates beyond PR-based workflows for agent-driven changes, helping enable trusted agents to commit directly to main with automated validation, and supporting AI-assisted review and auto-merge for low-risk changes.
• Help productionize the Agentic AI platform: agent observability (structured traces, costs, debuggability), RAG-as-platform so any team can give its agents shared memory, and the context-engineering patterns (skills, tools, memory) that keep agents reliable from dev through prod.
• Work with the team to consolidate fragmented build systems and deliver standardized "paved road" blueprints so new products can onboard to the monorepo and ship to production quickly.
• Partner directly with engineers across the company to identify toil, codify patterns, and automate repetitive manual work away — treating internal stakeholder teams as customers of the platform.
• Mentor teammates, raise the bar on design and code review, and serve as a technical voice for engineering velocity and operational excellence.

What we're looking for

• 8+ years building and operating production services and platform infrastructure in modern cloud environments.
• Proficiency with Go, or strong readiness to ramp quickly.
• Deep technical expertise in CI/CD systems, container-based orchestration, and the tooling required to scale a large monorepo across build, test, and release.
• Experience contributing to technical direction across multiple teams — evaluating tradeoffs, helping deprecate legacy systems, and building alignment around a target architecture.
• Familiarity with Agentic AI and LLM-based automation in production, and an interest in context engineering (RAG, memory, tool-calling) at platform scale.
• Excellent communication and collaboration skills, with a track record of identifying and automating away repetitive manual work alongside the engineers who feel it most.
• Comfort with ambiguity and a focus on data-driven improvements to product delivery — you're self-directed, set a high bar, and thrive in a fast-moving environment where quality and speed go hand in hand. 

Nice to have 

• Experience scaling GitHub Actions, Argo Workflows, Buildkite, or comparable systems at high throughput.
• Experience scaling change-throughput beyond traditional PR workflows — coordinating, validating, and landing high volumes of automated changes.
• Background in developer experience metrics (DORA, SPACE) and building the instrumentation to measure and improve them.
• Experience operating a large Go monorepo and the tooling around it.
• Familiarity with the supply chain security space, container ecosystems (OCI, Kubernetes), or open source software communities.
• Experience publishing internal-platform OKRs and running stakeholder feedback loops with engineering teams as customers.

The Role

As Senior Salesforce Administrator at Ada, you'll be the single owner of a mature, high-stakes Salesforce org that sits at the operational core of our Revenue and CX motions. You'll inherit a complex, well-integrated stack — including DealHub CPQ, Rocketlane, Gong, and HubSpot — and take on meaningful autonomy to stabilize, improve, and shape how it evolves. Working directly with RevOps, Sales, and CX leadership, you'll split your time between resolving day-to-day admin requests, building new features and automations, and driving long-term org health initiatives. This is a role for someone who treats the org as their product — not just their ticket queue. #LI-NS1

Responsibilities

• Own day-to-day Salesforce administration, including break-fix triage, user support, configuration changes, and admin request intake.
• Lead project work across new feature builds, automation development, schema changes, and managed package management (DealHub, Rocketlane, Gong, HubSpot).
• Monitor and enforce data integrity across the org, with a focus on reducing data quality gaps that impact downstream reporting and customer health tooling.
• Read, debug, and refactor existing Apex triggers and classes; identify governor limit risks and own resolution.
• Establish and maintain a formal release and change management process for all Salesforce deployments.
• Collaborate with RevOps, Sales, and CX stakeholders to translate business requirements into scalable Salesforce solutions.
• Document existing automations, custom objects, and Apex code to reduce organizational risk and support future development.

About You

• 5+ years of hands-on Salesforce Administrator experience in a complex, production org.
• Proven Apex experience — you can read, debug, and refactor existing code without needing a developer to translate.
• Experience managing multiple managed packages in production, including handling upgrades and troubleshooting integration conflicts (DealHub, Rocketlane, Gong, HubSpot or similar).
• Strong command of Flow Builder and automation troubleshooting across Flows, triggers, and process automation.
• Salesforce Platform App Builder or Advanced Admin certification (or equivalent demonstrated expertise).
• Experience with CPQ tools (DealHub or similar) is a strong asset.
• Comfortable working independently in a fast-moving environment where you own decisions, not just tasks.

Compensation:  $104,000 - $130,000 CAD 
Pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.

As Marqeta’s  Manager of Service Delivery & Partner Performance you'll be at the forefront of transforming customer support into a competitive advantage. This role puts you in the driver's seat to revolutionize how we deliver exceptional cardholder experiences through data-driven insights, cutting-edge technology, and strategic partnerships.

You'll have the autonomy to identify opportunities, architect solutions, and implement change that measurably elevates our support operations and cardholder’s experience. Working with talented cross-functional teams and strategic BPO partners, you'll not only meet KPIs and SLAs—you'll redefine what excellence looks like in fintech customer support.

This is your opportunity to make a tangible impact on cardholders while building a high-performing support ecosystem. You'll shape performance standards, drive operational transformation, and create the frameworks that scale as Marqeta grows. If you thrive on turning data into action, building collaborative partnerships, and seeing your strategies deliver real results, this role is your platform to shine.

We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join us!

This position is not for an existing vacancy.

The Impact You’ll Have

• Performance Fanatic: You don’t sit around and wait for things to happen. You strategize, plan, and monitor a path to operational success based on the right data.
• BPO Vendor Management: Manage the operational success of multiple programs across multiple products through building and maintaining effective relationships with operational BPO site leadership
• Performance Analysis & Reporting: Monitor and analyze contact center data (KPIs, metrics) to identify trends and areas for improvement.
• Process Optimization: Identify gaps, develop and implement sustainable and scalable solutions  to enhance operational efficiency, workflows, and customer satisfaction.
• Quality Assurance & Compliance: Define what great looks like and collaborate with QA and Complaints teams to ensure adherence to quality standards and compliance requirements.
• Technology Implementation: Utilize and drive enhancements through new tooling and AI solutions across our telephony, IVR and CRM system to improve agent efficiency and effectiveness 
• Leadership & Coaching: Motivate staff, provide coaching, and influence positive outcomes to cultivate a high-performing culture.
• Escalation Management: Resolve complex customer issues during moments of truth.
• Cardholder Experience Optimization: Foster strong relationships with key Program stakeholders to collaborate on enhancing cardholder experience through sharing expertise, CSAT/QA results and data drive operational efficiencies
• Change Management: Central role to new program launches and existing program refreshes
• Marqeta Culture Carrier: Champion culture cross-functionally through actively embodying Marqeta values, enhancing engagement, and facilitating culture-building activities 

Who You Are

• 7+ years of Customer Support Operations with equivalent years of experience in BPO industry or management of BPOs
• Strong communication skills (interpersonal, verbal, presentation, written, email) and track record of creating and executing strategic operational efficiencies 
• Demonstrated ability to drive customer satisfaction and experience using people, processes or technology to deliver exception outcomes
• Proven ability to influence and manage stakeholders (internal and external) to achieve positive outcomes
• Experience using data to drive insights and recommend changes for improvement
• Strong technical aptitude including Google Suite, Salesforce, Slack and contact center telephony systems (ex. Amazon Connect)
• Familiarity and first-hand knowledge in fintech, banking or payments
• Positive attitude, team player, adaptable, and resourceful
• Detail-oriented, organized, and adept at managing competing priorities
• Exercises sound judgement and decision-making across diverse scenarios
• Ability to travel globally

Nice-To-Haves

• Deep knowledge of payment processing, program management and/or issuing of debit and credit cards
• Demonstrated ability to manage and operate Amazon Connect
• Strong operational and customer-facing documentation skills with the ability to produce clear, engaging internal and external support guides
• Experience implementing and growing communication channels beyond phone and email
• Proven success in integrating AI solutions into BPO operations from generative AI tooling to agentic implementation of voice or chatbots

Your Manager

• Jena Baker, Ops Director of Global Customer Support Operations

Typical Process

• Application Submission
• Recruiter video call
• Hiring manager video call
• Virtual “Onsite” consisting of 4-5, 45 min calls

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD,  is: 114,500 - 143,000

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company 
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave

The Role

As a Customer Solutions Consultant (CSC), you will play a critical role in the post-sales success of Ada’s clients. Acting as a trusted advisor, you’ll guide organizations through their digital transformation journey by ensuring the effective deployment, adoption, and optimization of Ada’s AI-powered customer experience (ACX) solution. You’ll manage a portfolio of clients, drive measurable outcomes such as automated resolution and customer satisfaction, and help clients realize long-term value from their investment in Ada.

Responsibilities

• Act as the primary point of contact for clients, addressing questions, providing guidance, and ensuring a seamless partnership experience throughout the customer lifecycle.
• Own and manage a book of business, ensuring each client achieves measurable outcomes tied to their ACX goals (e.g., automated resolution, CSAT, ROI).
• Partner with clients to deploy, scale, and mature their ACX programs using Ada’s ACX Framework as a blueprint for success.
• Serve as a technical consultant and product expert, guiding clients through integrations, data flows, and system architecture across SaaS and API environments (e.g., Salesforce, Zendesk, Shopify, HubSpot)
• Support clients in optimizing their AI Agent performance through transcript reviews, data analysis, training updates, and implementation of best practices.
• Ensure client knowledge sources are accurate, well-structured, and continuously optimized to maximize the AI Agent’s effectiveness.
• Drive adoption and utilization of Ada’s solutions across the client’s organization by fostering alignment with key stakeholders and building internal advocacy.
• Identify opportunities to expand use cases and deepen integrations within client ecosystems.
• Track, analyze, and report on success metrics such as Automated Resolution Rate, CSAT, and ROI to demonstrate business impact and guide strategy.
• Translate complex technical concepts into clear, value-driven recommendations for non-technical stakeholders.
• Improved automated resolution rates and customer satisfaction for client programs.
• Strong client advocacy leading to renewals, expansions, and strategic partnerships.
• Continuous feedback loop between clients and internal teams to enhance Ada’s platform and services.

About You

• 4+ years in customer success, solutions consulting, or post-sales technical consulting, or equivalent experience, preferably within SaaS, CX, or AI technology environments.
• Proven experience managing enterprise or mid-market clients, driving measurable business outcomes, and fostering long-term relationships.
• Strong technical aptitude — comfortable working with APIs, integrations, and system configurations.
• Analytical thinker with the ability to interpret performance data and turn insights into actionable recommendations.
• Exceptional communication, presentation, and relationship management skills across both technical and executive audiences.
• Curious, proactive, and resilient — you thrive in fast-paced, dynamic environments and love solving complex challenges through technology.

Compensation:  $105,000 - $134,000 OTE CAD 

Pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law. #LI-NS1

Please note:  The successful candidate for this role must be located in British Columbia.

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

On Cash App's Controls team, we build essential platform infrastructure that protects millions of Cash App customers while ensuring fair and equitable access to financial services. We partner across engineering, product, and risk teams to build highly-available infrastructure that powers critical trust and safety decisions throughout Cash App's ecosystem. We are an AI-driven engineering team — we use agentic coding tools across our entire development lifecycle, from design exploration through implementation and review, and we expect every engineer to do the same. In this role, you'll implement scalable solutions that enable billions of safe customer interactions that create a holistic experience that fosters the trust, safety, security, and support of our customers and their assets, directly contributing to Block's mission of economic empowerment through accessible and secure financial services.

You Will

• Partner closely with product managers, designers, engineers, and business leads to scope, plan, design, build, and launch new features as well as maintain existing functionality of our product controls ecosystem
• Lead technical discussions within your team and contribute to design and product discussions with partners across the organization
• Leverage your experience and knowledge to grow your teammates' technical breadth and depth through mentoring
• Direct AI agents across the full development lifecycle — from prototyping and implementation to debugging and code review — operating as the architect and decision-maker while AI handles the building
• Expand what's possible with AI tooling — identify opportunities to automate repetitive work, improve code quality through AI-driven review, and share effective patterns with your team

You Have

• 6+ years experience building and operating highly available services
• Experience contributing to cross-functional technical efforts and coordinating across teams
• Strong collaboration skills and customer empathy
• A growth mindset and comfort navigating open-ended problems
• Well-developed curiosity and initiative to build creative solutions to complex problems
• Contributed to the growth of fellow engineers through technical leadership and mentoring
• Demonstrated fluency with AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot, or similar agentic coding tools) in real production work — not just familiarity, but regular, effective use
• You stay current on the rapidly evolving landscape of AI tooling and actively experiment with new capabilities as they emerge

Technologies We Use and Teach

• AI-Driven Development: Claude Code, Goose (Block's open-source AI agent), Cursor, GitHub Copilot, Anthropic's Model Context Protocol (MCP)
• Kotlin, Java
• HTTP, JSON, gRPC, Protocol Buffers
• DynamoDB, MySQL
• Event-driven architecture (Kafka)
• DataDog, Prometheus
• AWS, Kubernetes

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations throughout the recruitment process. If you require an accommodation, let your recruiter know.  Want to learn more about what we’re doing to build an inclusive workplace? Check out our Inclusion & Diversity page.

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 95.8 million monthly active users (MAU), as of December 31, 2025, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. 

We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

Data Science at Life360 is a lean, high-impact, matrixed team with individuals embedded in business units and working cross-functionally with Product, Analytics, Engineering, and business stakeholders. We are dedicated to enhancing and optimizing the user experience, accelerating growth, and generating revenue through subscriptions, partnerships, and ads. We leverage a variety of technical skills and tools including experimentation, machine learning, advanced analytics, and agentic AI (AI-Native development) to deliver exceptional customer value.

About the Job

We are seeking a Senior Data Scientist to scale Life360’s growth and user retention efforts. This role will be a core contributor to the Growth team’s strategy and operations. You will work closely with business leads, lifecycle marketing, and user acquisition teams to optimize the entire funnel—from registrations to subscriptions and churn reduction. Your expertise will help Life360 make smarter, faster, and more scalable decisions, directly impacting millions of users.

This role requires strong technical expertise and practice experience in machine learning, statistical modeling, experimentation, and causal inference, as well as the ability to collaborate with cross-functional teams to drive measurable business outcomes.

For candidates based in the US, the salary range for this position is $129,000 to $190,000 USD. For candidates based out of Canada, the salary range for this position is $149,500 to $176,000 CAD. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

• Experimentation & Causal Inference: Design and implement scalable A/B tests to train causal inference models and multi-armed bandits to optimize registration, trial conversion, and retention strategies.
• Automation & Personalization: Build and scale automation tools for experimentation and segmentation, ensuring teams can efficiently test and iterate on hypotheses.
• Growth Optimization: Develop predictive models and statistical frameworks to improve trial-to-subscription conversion, reduce churn, and enhance overall customer LTV.
• User Segmentation & Personalization: Leverage clustering, behavioral analysis, and geospatial data to identify key user segments and tailor experiences accordingly.
• Product Development: Collaborate with product managers and engineers to conceive and develop innovative product ideas, driving feature iteration and development to make impact.
• Cross-functional Collaboration: Partner closely with growth, lifecycle marketing, and user acquisition teams to translate insights into scalable marketing and product strategies.
• Data Infrastructure & Tooling: Work with data engineering to improve the data ecosystem, ensuring robust, scalable pipelines for experimentation and analysis.
• Thought Leadership: Act as a mentor and thought leader within the data science team, helping to define best practices in experimentation, machine learning, data-driven decision-making, and agentic AI (AI-Native) best practices.

What We’re Looking For

Desired Experience & Qualifications

• 4+ years of experience in data science, machine learning, or analytics, with a focus on growth, experimentation, and user retention.
• Strong experience in causal inference, A/B testing methodologies, and statistical modeling.
• Deep understanding of machine learning models for user segmentation, personalization, and predictive analytics.
• Proficiency in Python (Pandas, Scikit-learn, PyTorch, or TensorFlow) and SQL for data manipulation and analysis.
• Experience with big data technologies such as Spark, AWS, Databricks.
• Experience with product development or customer life cycle management.
• Strong business acumen with the ability to translate data insights into actionable business strategies.
• Excellent communication and leadership skills, with the ability to influence cross-functional teams.
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field

Preferred Qualifications

• Experience in subscription-based products, lifecycle marketing, or user acquisition.
• Experience with geospatial data and mobile location-based services.
• Familiarity with Bayesian modeling, uplift modeling, and reinforcement learning for experimentation.
• Experience with workflow automation tools for experimentation and data science operations.
• Experience in the consumer technology sector, particularly within a fast-paced and sometimes ambitious development setting.

Core Expectations

• Problem-solving mindset - You structure ambiguous problems precisely before reaching for a tool, AI or otherwise
• Collaborative approach - You can explain technical tradeoffs and articulate ideas effectively, work well across teams, and value diverse perspectives
• Ownership mentality - You take responsibility for your work from design through production and beyond
• AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams rather than hand-holding one agent at a time

We believe culture fit and problem-solving ability matter more than checking every technical box. We're happy to help you grow into areas where you have less experience.

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.

Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 

• Be a Good Person - We have a team of high integrity people you can trust. 
• Be Direct With Respect - We communicate directly, even when it’s hard.
• Members Before Metrics - We focus on building an exceptional experience for families. 
• High Intensity High Impact - We do whatever it takes to get the job done. 

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.  

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

____________________________________________________________________________

Engineering at Ada

As an Ada engineer, you’ll have the autonomy to make a huge impact and the opportunity to work alongside talented peers who challenge and inspire you. We move fast, take ownership, and always strive to improve, both as individuals and as a team. As a Senior Software Engineer on Ada’s integration team, your work will have a fundamental impact on Ada’s company growth. You will be integral in building a scalable, efficient, and robust ecosystem of integrations to expand our addressable market and provide powerful tools for our customers. 

Our Role

Your goal will be to deliver new integrations and features to drive amazing experiences for customers. You will be building on top of Ada’s API and integration framework. Features you deliver will be adopted by the cutting edge of Ada’s client base, and will be used to open up new avenues for growth through our integration marketplace. Furthermore, as the main consumer of Ada’s API platform, your projects will be used to inform & drive Ada’s core architecture and strategy long term.

About You

• 7+ years of experience as an Infrastructure / Back-End / Full Stack Developer.
• Proficient with backend technologies (Python and AWS are assets)
• Strong understanding of distributed cloud systems architecture and relevant technologies, for example; Terraform, Serverless Framework and AWS CloudFormation.
• Strong understanding of non-relational databases (e.g. DynamoDB), and message queues (e.g. AWS SQS).
• Experience working with public APIs to build reliable third-party integrations.
• Experience working on observability, incident response and management, and root cause analysis.
• Experience leading and managing software development projects with autonomy.
• Experience collaborating with team members, providing code reviews and aligning on development patterns
• Self-starter, problem solver and strong communicator with a bias toward simplicity in software design.

Outcomes

• Execute on our ambitious Ada integration roadmap through long-term technical exploration and planning
• Be hands-on in building features, solving scaling and reliability challenges.
• Provide expertise to identify areas of opportunity / innovation and help level up our current development practices.
• Ensure the team is providing a scalable and maintainable platform for integrations.
• Help raise the bar for technical excellence, foster a collaborative community, and teach everyone something new.

#LI-NS1

The Role

As an Implementation Consultant (internally known as Professional Services Consultant), you will lead enterprise customers through the entire onboarding and implementation journey—starting post-sale and ending with a successful launch. You will serve as both a technical partner and strategic advisor to clients, helping them design scalable solutions, integrate Ada’s platform into their ecosystem, and realize value quickly.

Your work will involve building logic-based workflows, configuring Generative AI, implementing integrations, and enabling clients to confidently manage the platform post-launch. You’ll also collaborate cross-functionally with teams across Sales, Technical Services, Product, and Engineering to align on requirements, remove blockers, and ensure each project is delivered smoothly. Implementation projects involve deploying Ada across messaging, email, and voice channels, and are tailored to align with each client’s infrastructure and strategic priorities.

Outcomes

• Own the end-to-end delivery of client implementations, from kickoff through go-live, ensuring launches are timely, high-quality, and aligned with client objectives.
• Collaborate with clients to understand their goals and technical environment, translating these into actionable implementation plans and tailored automation solutions.
• Provide strategic guidance and best practices on how to leverage Ada, helping clients design scalable user journeys and automation strategies that support their long-term goals.
• Design and configure logic-based workflows within Ada’s platform, including the implementation of Generative AI experiences tailored to each client’s business objectives and automation strategy.
• Implement integrations with client systems, such as CRMs (e.g., Salesforce), eCommerce platforms (e.g., Shopify), authentication providers (e.g., Okta), and custom APIs, to enable automation, personalization, and reporting.
• Test and refine GenAI responses through iterative adjustments, ensuring response quality, consistency, and alignment with project goals.
• Coordinate with client stakeholders and internal teams, managing project milestones, proactively addressing blockers, and ensuring a seamless implementation experience.
• Provide training and supporting documentation to equip clients for successful adoption and long-term management of the Ada platform.
• Collaborate with Product and Engineering teams, sharing insights from implementations to identify areas for improvement and help shape product direction based on client needs.

About You

• 3+ years of experience in implementation consulting, professional services, or a related field, preferably within a SaaS environment.
• Strong technical aptitude, with working knowledge of APIs, the ability to troubleshoot data flows, and communicate effectively across technical and non-technical stakeholders.
• Solid understanding of SaaS ecosystems, with experience integrating tools like Shopify, Salesforce, Zendesk, or HubSpot into client environments.
• Excellent communication and relationship-building skills, with the ability to explain technical concepts to non-technical audiences and influence VP-level stakeholders.
• Strong understanding of logic-based workflows, with the ability to confidently design and troubleshoot decision trees, conditional logic, and automation flows.
• Comfort operating in ambiguity, solving complex problems, and staying on track amidst shifting priorities.
• A curious and resilient mindset, with a bias for action and a passion for continuous learning, iteration, and driving progress.

Bonus: Knowledge and experience implementing Generative AI solutions or CX automation tools is a strong asset.

Compensation: $100,000 - $120,000 OTE CAD

Pay will be determined based on several factors such as past experience, qualifications, geographic location and other job related factors permitted by law. 

#LI-N1

Description

Sprout Social empowers businesses worldwide to harness the immense power and opportunity of social media in today’s digital-first world. Processing over one billion social messages daily, our platform serves up essential insights and actionable information to over 30,000 brands, informing strategic decisions that drive business growth and innovation, and fostering deeper, authentic connections to their end customers. Our full suite of social media management solutions includes comprehensive publishing and reporting functionality, customer care solutions, influencer marketing, connected workflows, business intelligence, and proprietary agentic AI. 

What you’ll do

• Ensure we build, scale, ship, and monitor our AI and Agent platforms reliably, leveraging technologies such as Java, Python, MySQL, OpenSearch, Redis, AWS, and Kubernetes.
• Integrate generative AI and agentic AI across Sprout’s existing ecosystem and infrastructure, helping define and build frameworks for platform AI enablement. 
• Build with AI and agentic AI in your own work, using tools such as Claude Code. 
• Influence and contribute to technical roadmaps by researching and prototyping emerging AI technologies, frameworks, and state of the art methods.
• Partner with product managers, designers, applied AI/ML scientists, and other engineers to define requirements and complete feature work.
• Uphold project quality and planning through meeting deadlines, breaking down work, and ensuring proper testing and monitoring.
• Contribute to the team’s growth through mentorship, knowledge sharing, and providing feedback on PRs and technical designs.

What you’ll bring

We’re looking for an experienced and impact oriented engineer to join our team in building great software. If you enjoy working on cutting edge and rapidly changing technology, thinking through secure system design, and want to accelerate building generative AI and Agentic AI features, we’d love to talk with you! 

The minimum qualifications for this role include:

• 4+ years of experience designing, developing, and supporting production-grade backend distributed systems or platform services at scale in languages such as Java or Python. 
• 3+ years of experience improving architectural patterns of large-scale software applications. 
• 1+ years of experience driving root-cause analysis and resolving complex architectural and performance bottlenecks across the entire stack. 

Preferred qualifications for this role include:

• 1+ years of experience architecting high-throughput, cost-optimized, and scalable systems that power AI-enabled features.
• 1+ years of experience implementing and leveraging LLM and agent orchestration frameworks (e.g., LangChain4j, LangGraph, CrewAI).

Bonus: 

• Experience designing and implementing secure, extensible java MCP architectures.
• Experience supporting server-driven UI, with the ability to contribute across both platform and web. 

How you’ll grow

Within 1 month, you’ll plant your roots, including:

• Completing Sprout’s New Hire training program alongside other new Sprout team members.
• Acclimating to the team's current Mission, Goals, and Objectives along with future product roadmaps.
• Deploying and making changes to our production systems.
• Collaborating regularly with the development team to deliver value to our users.
• Getting regular team feedback on your work through code reviews and pairing.
• Proactively monitoring the health of our services in production to ensure our customers always have a world-class experience
  
  

Within 3 months, you’ll start hitting your stride by:

• Learning, updating, and improving Sprout’s existing AI platform services and frameworks.
• Being the first line of defense against product outages and bugs while on support duty.
• Working with your dev team to come up with the MVPs of new features.
  
  

Within 6 months, you’ll be making a clear impact through:

• Being “point person” on a project, including writing design documents, coordinating dependencies, and acting as domain owner.
• Collaborating with product managers, applied AI/ML scientists, and web-engineers to identify opportunities for improving the scalability, reliability, latency, and cost of Sprout’s AI systems. 
• Staying up to date with generative AI, agentic AI, and MCP related technologies and leveraging that knowledge to improve and influence our technical roadmap.
  
  

Within 12 months, you’ll make this role your own by:

• Shipping, and making it easier to ship and support, AI Agents and generative AI solutions at Sprout. 
• Owning cross-organizational projects and mentoring other engineers to help them grow.
• Surprising us! Use your unique ideas and abilities to change your team in beneficial ways.
  
  

Of course, what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager.

Our Benefits Program

We’re proud to regularly be recognized for our team, product and culture. Our benefits program includes:

• Insurance and benefit options that are built for both individuals and families
• Progressive policies to support work/life balance, like our flexible paid time off and parental leave program 
• High-quality and well-maintained equipment—your computer will never prevent you from doing your best
• Wellness initiatives to ensure both health and mental well-being of our team
• Ongoing education and development opportunities via our Grow@Sprout program and  employee-led diversity, equity and inclusion initiatives.
• Growing corporate social responsibility program that is driven by the involvement and passion of our team members
• Beautiful, convenient and state-of-the-art offices in Chicago’s Loop and downtown Seattle, for those who prefer an office setting

Whenever possible, Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office, it will be evident in the job listing and your offer letter.

Individual base pay is based on various factors, including whether you’re located in Zone 1 or Zone 2, as well as relevant experience and skills. In the United States, we have two geographic pay zones. For this role, the expected base pay ranges for new hires are:

• Zone 1 (New York, California, Washington): $164,200 - $220,00 USD annually
• Zone 2 (All other US states): $149,200 - $220,000 USD annually

The listed ranges represent earning potential in this position. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.

Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. Employees (and their dependents) are covered by medical, dental, vision, basic life, accidental death, and dismemberment insurance, and Modern Health (a wellness benefit).  Employees are able to enroll in Sprout’s company’s 401k plan, in which Sprout will match 50% of your contributions up to 6% with a maximum contribution. Sprout offers “Flexible Paid Time Off” and ten paid holidays. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package.

Sprout Social is proud to be an Equal Opportunity Employer. We do not discriminate based on identity- race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law. Because Sprout Social is a federal contractor, we affirmatively recruit individuals with a disability and protected veterans. Learn more about our commitment to diversity, equity and inclusion in our latest DEI Report.

If you require a reasonable accommodation for any part of the interview process or to submit your application, please email us at accommodations@sproutsocial.com. Include the nature of your request and your preferred contact information. We'll do everything we can to support your success during our recruitment process while upholding your privacy. Please note that only inquiries regarding accommodations will receive a response from this email address; other inquiries will not be addressed (e.g., you send your resume but are not requesting an accommodation).

For more information about our commitment to equal employment opportunity, please click here (1) Equal Opportunity Employment Poster and (2) Sprout Social's Affirmative Action Statement. 

Additionally, Sprout Social participates in the E-Verify program in certain locations, as required by law. 

#LI-REMOTE

^{PolyAI is on the hunt for exceptional Agent Designers! PolyAI builds enterprise voice AI agents that handle millions of customer conversations for global brands, delivering conversational experiences so natural they feel like talking to a real person. This is a role for people who want to own projects end-to-end and create conversational experiences that will be heard by millions of customers worldwide. This is suitable for people who are looking to start their career - new graduates welcome!}

^{Responsibilities:}

• ^{Designing the customer experience of AI agents, from simple FAQ answers to long and complex conversations}
• ^{Implementing and maintaining agents using our own platform, Agent Studio, as well as Python and other tools}
• ^{Obsessing over metrics to assess performance and customer satisfaction - making sure everything you do is measurable and having a big impact}
• ^{Listening to how real customers interact with your agents, and prioritising the right things to make each interaction even better}
• ^{Helping our engineering team ensure that our implementations of Generative AI are effective, accurate, and safe}

^{Minimum Requirements:}

• ^{BS/MS degree in Interaction Design, Linguistics, Human-Computer Interaction, Artificial Intelligence, Computer Science, or another related field}
• ^{Foundational Python knowledge: variables, lists, loops, conditionals, and functions}
• ^{Experience working with large language models (LLMs) and Generative AI}
• ^{Strong focus on creating great user experiences, with meticulous attention to detail and consistency}
• ^{Ability to explain and distill complex ideas using clear and inclusive language}
• ^{Ability to craft conversational and UX copy that guides users naturally through their journeys, reducing friction at every step}

^{Nice to Have:}

• ^{Knowledge of or aptitude for analytics or data science, including data manipulation, analysis, and visualisation}
• ^{Experience managing internal and external stakeholders through various stages of content development}
• ^{Previous experience in conversation design/AI agent development}
• ^{Experience collaborating with cross-functional teams}

^{We provide a competitive salary range for this role - which is $80,000 – $90,000 CAD depending on level and experience. Please note this range is intended as a guide, not a guarantee. Final compensation will be based on individual qualifications, relevant experience, and the scope of the role. This role also includes equity, giving you the opportunity to share in the long-term success of the business.}

^{The listed expectations reflect what we're hiring for, so we encourage you to review the job description carefully.}

^Benefits

^{💰 Participation in the company’s employee share options plan}

^{🏝 Flexible PTO policy}

^{📚 Annual learning and development allowance: We will reimburse the costs of any certified and non-certified training, including conferences, events, books and subscriptions that are relevant to your role at PolyAI, in addition to any formal training that the company offers}

^{🏡 We’re all about making WFH work for you - that’s why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus!}

^{🏥 Healthcare plan: We offer health insurance through Allianz. Full details on the plan will be shared with you on your first day}

^{🌎 Sabbatical Program: 5-week paid sabbatical available after 5 years of employment}

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. 

This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers.

As a Senior AI Engineer, you will collaborate with machine learning engineers, data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build LLM-powered AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry. 

In this role, you will:

• Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques. 
• Build LLM powered agent systems: Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers. 
• Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. 
• Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations.

Qualifications

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required:

• 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production. 
• Hands on experience with LLM applications in production including prompt engineering and utilizing frameworks for online and offline evaluation
• Experience with LLM assisted search, such as query understanding and augmentation, text2sql, and entity extraction   
• Experience with vector or graph databases
• Experience with document chunking, embedding models, and context window optimization
• Familiarity with metadata-based retrieval and re-ranking strategies
• Hands on experiences with model evaluation metrics (e.g. perplexity, hallucination rate, factual consistency)   
• Familiarity with data security, versioning, and MLOps principles

Nice to Have:

• Experience with enterprise AI applications with strict compliance, audit, or legal requirements
• Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvements. 
• Experience with multi-modal search
• Experience with graph based recommendation systems, such as graph NN. 
• Experience with developing AI applications powered by agent-based systems
• Experience with packaging, CI/CD and pipeline automation. 

Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference. 

How we work:

Our culture is a key part of how we operate, as well as our hiring process:

• We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.
• We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. 
• We make data-driven decisions and make the best decision for the moment based on the information available.

If you’d want to learn more about our values click here.

Work Location: San Francisco, New York, or US Remote (Affinity is registered to employ in certain U.S. states)

For those located in San Francisco or New York, for this role we're embracing a hub-hybrid model, designed to balance flexibility with meaningful in-person collaboration. Team members within commuting distance are expected in-office 2–3 days per week, typically Tuesday through Thursday. We believe great things happen when people come together intentionally to connect, create, and build momentum as a team.

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal & sick days to support your well-being.
• Retirement Planning: We offer a 401(k) plan to help you plan for your future.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
• Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

A reasonable estimate of the current range is $160,000 to $235,000 USD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. 

The Role

We’re looking for a Senior Product Designer to join the Training Team, responsible for the AI Manager experience within Ada’s Dashboard. You’ll help shape how AI Managers train, evaluate, and deploy their company’s AI Agent across channels like chat, voice, and email.

Outcomes

• Streamline the path to value — Design workflows that make it easy to set up and tailor the AI Agent, accelerating the time from launch to meaningful impact.
• Design how the AI Agent improves over time — Create intuitive ways for customers to identify gaps, test changes, and refine their Agent’s behavior with confidence.
• Make complex systems feel approachable — Help AI Managers understand what their Agent is doing, why it’s behaving a certain way, and how to guide it—without needing deep AI expertise.
• Balance structure and flexibility — Build experiences that blend no-code configuration with adaptive AI behavior, giving users power and precision without adding friction.
• Collaborate directly with customers and internal teams — Run discovery with developers, CX leaders, and end users to gather insights, validate ideas, and iterate quickly.
• Lead with insight — Translate ambiguous problems into clear flows, conceptual models, and thoughtful interactions that inform strategy and drive decisions.

About You

• 5+ years of product design experience, including end-to-end work on complex, systems-driven products.
• Strong interaction and visual design skills — You’re precise, thoughtful, and care deeply about both form and function.
• Systems thinker — You design for how things work, not just how they look, and think in terms of patterns, behaviors, and modularity.
• Comfortable in ambiguity — You know how to explore the unknown, define problem spaces, and find signals in noise.
• Customer-obsessed mindset — You relentlessly advocate for the end user, designing for trust, clarity, and control—especially in moments of uncertainty or failure. You seek out real customer signals and let them guide your decisions.
• Collaborative communicator — You work fluidly with cross-functional teams and know how to bring people along through narrative, visuals, and clear rationale.
• Outcome-driven — You measure success by the clarity of the experience, the quality of the system, and the impact on the customer.

Bonus points if you have:

• Experience designing for AI/ML-powered systems or reasoning-based experiences
• A thoughtful perspective on how people and AI can collaborate to solve complex problems

We’re a team of curious, focused builders who care about the deep why and always finding ways to improve. If this role excites you—even if your experience doesn’t line up exactly with every requirement—we’d still love to hear from you.

Compensation: $135,000 - $160,000 CAD

Pay will be determined based on several factors such as past experience, qualifications, geographic location and other job related factors permitted by law. 

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About the Role

We're seeking an experienced Director of Global Consulting and System Integrator Partnerships to build and lead our consulting and SI partner ecosystem. You'll develop relationships with Global Systems Integrators (GSIs), Regional Systems Integrators (RSIs), and consulting firms, driving net new business growth and expanding Ada's presence in customer experience transformation initiatives. You’ll be a strategic alliances leader who knows how to turn partnerships into meaningful revenue impact. You’ll build and scale consulting and SI relationships that drive measurable growth, and you thrive at the intersection of enterprise sales, CX transformation, and ecosystem strategy.

Outcomes 

• Define and execute SI/GSI partner strategy, recruiting top-tier GSI partners and high-performing regional partners.
• Drive partner-sourced pipeline and net new logo acquisition through strategic relationships, identifying high-value opportunities within partner client bases and CX transformation projects
• Serve as executive sponsor for strategic partner relationships, developing joint business plans with revenue targets and success metrics
• Design comprehensive partner sales enablement programs including competitive positioning, value selling techniques, and deal support
• Integrate Ada into partner CX transformation practices and digital transformation roadmaps through joint solution offerings and go-to-market plays
• Collaborate with Ada's sales, professional services, cloud partnerships, technology partnerships, and reseller teams to create cohesive strategies and maximize partner impact
• Partner with Ada's PS organization on joint pursuits, defining clear engagement models and rules of engagement between Ada PS and SI partners
• Build business case models, ROI frameworks, and sales materials that partners leverage in customer engagements
• Track partner performance metrics including pipeline contribution, revenue attainment, and forecast partner-driven business impact

About You

• 8+ years in partner management, alliances, or business development, with 4+ years focused on consulting/ SI partnerships
• Proven track record scaling SI programs across global and regional SI partners with demonstrable net new business growth
• Deep experience in CX transformation, contact center modernization, or digital customer service initiatives
• History of consistently exceeding partner-driven revenue targets and net new logo acquisition
• Experience with major consulting firms/GSIs (Accenture, Deloitte, PwC, Capgemini, etc.) and regional integrators
• Strong enterprise sales background with understanding of complex B2B sales cycles
• Experience in B2B SaaS, enterprise software, or customer experience technology

You also have: 

• Deep understanding of consulting/SI business models, service offerings, partner economics, and CX transformation sales cycles
• Experience structuring professional services partnerships and defining engagement models between internal PS teams and external partners
• Strong executive presence with ability to influence C-level stakeholders at partners and enterprise clients
• Ability to own revenue outcomes and proactively identify, develop, and close new opportunities through partner channels.
• Experience orchestrating cross-functional strategies across different partner types (SI, cloud, technology, reseller)
• Excellent relationship building and consultative selling skills
• Data-driven approach to pipeline management with strong forecasting abilities

Please note: Some travel required to meet with partners and attend industry events, inclusive of company events and offsites.

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