How You'll Make An Impact

Creating an Amazing Culture and Building Customer Love are two of our most strategic values at Boomi.   The Boomi Customer Success team lives and breathes these values every day.  A critical element of Boomi’s strategy is helping our customers accelerate their time to value and expand their relationships with Boomi.  This is a key differentiator for us and we believe that our customers deserve a unique and exceptional experience. When we do this well, our customers succeed and Boomi succeeds by increasing our renewal and growth rates. 

We currently have several openings in our team for an experienced Customer Success Manager for our hyper-growing commercial segment.

We seek energetic and highly productive CSMs for our ever-growing customer base. You will work with a large portfolio of customers to proactively launch and drive adoption and act as the voice of your customers internally at Boomi. You are relentless and dedicated to orchestrating high-value engagements including adoption, implementation, value creation, business reviews, roadmap alignment, and documenting measurable outcomes for our customers.

This is a hybrid role based in our Vancouver office, with in-office days Tuesday, Wednesday and Thursday.

What You'll Do

• Develop and maintain a deep understanding of our customer's business objectives, challenges, and opportunities and help deliver value-driven engagements

• Identify, design, and being able to achieve the customer's goals in a short-term relationship

• Maintain a deep understanding of our platform and make recommendations on how customers can use it to accelerate their business objectives

• Deliver proactive and reactive customer success motions through touchpoints that require product knowledge, joint planning, problem-solving and ability to multi-task 

• Collaborate with internal teams, including sales, services, support, and product to ensure adoption as well as mitigate any adoption risks

• Track and report on key metrics related to customer engagement, adoption,  satisfaction, and retention

• Proactively identify opportunities to expand the usage of Boomi products and services within existing customer accounts

The Experience You Bring

• 4 - 6 years of experience working as either Success Manager, Technical Consultant, Architect, or in other roles with a project, delivery, or technical account management focus

• Experience working with a large portfolio of customers (+100) and being able to manage multiple accounts at different stages in the life cycle. 

• Excellent ability to understand and communicate complex business and technical subjects to both technical and non-technical audiences

• Ability to actively listen to customers and translate their business needs into personalized consultation

• Proven business and technical acumen to proactively identify customer needs and implement success, adoption, and outcome realization plans

• Have a data-driven and analytical mindset to prioritize, manage, and deliver multiple tasks and initiatives simultaneously

• Technical proficiency and a strong understanding of cloud-based software solutions

• Develop, test, and iterate on scaled playbooks and engagement strategies

• Impeccable verbal and written communication skills as well as customer-facing experience

Bonus Points If You Have

• 2-3 years of working as a Customer Success Manager for a SaaS or a cloud-based platform

• Experience in iPaaS, Automation, or Data/Application Integration space

• Experience with Customer Success Management tools like Gainsight, Totango or ChurnZero

• Nice to Have Language Skills - Japanese, Mandarin, French, German

Aren’t sure if you’re a match? We know that impostor syndrome and the confidence gap can prevent us from meeting spectacular candidates — so don’t hesitate to apply; you could be the perfect fit!

Compensation and Benefits 

Boomi is committed to fair and equitable compensation practices. The On Target Earnings (OTE) ranges from $110,000 - $137,000 CAD annually. Final compensation will be determined by various factors including the candidate’s knowledge, skills, experience, and geographic location. 

#LI-JL1 #LI-HYBRID

DIRECTOR, CUSTOMER MARKETING  

This candidate can reside in the following office locations to fill this position: 

New York, NY - US
Pittsburgh, PA - US
Montreal - Canada
Massy - France

Founded in 2000, Ivalua is a leading global provider of cloud-based procurement solutions.

COMPANY OVERVIEW

At Ivalua we are a global community of exceptional professionals, who believe that digital transformation revolutionizes supply chain sustainability and resiliency to unlock the power of supplier collaboration. 

We achieve this through our leading cloud-based spend management platform that empowers hundreds of the world's most admired brands to effectively manage all categories of spend and all suppliers to increase profitability, improve ESG (environmental, social, and corporate governance) performance, lower risk, and improve productivity. Driven by our passions and fueled by our shared ambitions, we empower and challenge each other to create meaningful experiences for our colleagues, customers, partners, and communities. 

Learn more at www.ivalua.com. Follow us on LinkedIn 

THE OPPORTUNITY

CONTEXT: 

Ivalua is seeking a strategic and visionary Director, Customer Marketing responsible for shaping how we engage, enable, and expand relationships with our global enterprise customers. In this role, you will drive the overall customer marketing strategy—from onboarding and retention to advocacy and expansion.

ROLE: 

You will architect the content and engagement strategy that connects customers across every stage of the journey: evaluation, onboarding, education, advocacy, and long-term partnership. Working closely with Product Marketing, R&D, Sales, and Customer Success organizations, you will drive platform adoption and satisfaction across a thriving community of users around the world.

WHAT YOU WILL DO WITH US 

Enterprise Lifecycle Marketing & Expansion

• Drive Growth & Retention: Build and lead enterprise-focused lifecycle marketing programs that deepen engagement, drive advanced platform adoption, and accelerate expansion within top global accounts.
• Cross-Functional Collaboration: Partner with Customer Success, Sales, and Product Marketing, R&D teams to identify customer growth opportunities and deliver coordinated go-to-market motions across renewal, upsell, and cross-sell stages.
• Segmentation Strategy: Develop segmentation and journey frameworks for executive, business, and practitioner personas, ensuring tailored messaging and experiences throughout the customer lifecycle.
• Data-Driven Insights: Leverage data and insights to measure health, engagement, and expansion readiness across accounts. Mine market insights to inform strategic marketing decisions and stay ahead of industry trends.

Customer Advocacy & Content Strategy

• Build Champions: Spearhead customer advocacy initiatives aligned to product and solution narratives that amplify our customers' success and foster brand loyalty. You will deliver the requisite case studies, video stories, analyst references, and speaking opportunities needed to drive our next wave of growth.
• Strategic Content: Define and execute a customer content strategy that aligns with enterprise adoption journeys—including success stories, executive narratives, and best-practice thought leadership.
• Global Storytelling: Partner with Corporate Communications and Brand to elevate customer storytelling that showcases innovation and measurable outcomes achieved with Ivalua.
• Executive Programs: Build ongoing executive engagement programs, including roundtables, innovation councils, and strategic listening forums, to inform product direction and strengthen executive alignment.

Events & Community

• Event Strategy: Own the customer event strategy for enterprise audiences—driving participation in flagship experiences (such as Ivalua NOW), regional executive summits, and customer innovation sessions.
• Community Building: Influence and help to shape our customer community events as well as our online community, ensuring a consistent voice of the customer is woven through marketing, sales, and product storytelling.

YOUR PROFILE

If you have the below experience and strengths this role could be for you:

Skills and Experience:

• Experience: 10+ years of B2B marketing experience, including 5+ years in customer, enterprise, or lifecycle marketing leadership.
• Advocacy Expert: Proven track record of building world-class customer advocacy programs and executive-level engagement programs that drive measurable business impact.
• SaaS Knowledge: Deep understanding of enterprise customer journeys, particularly in SaaS, Procurement, or Supply Chain technology environments.
• Content & Storytelling: Strong background in content strategy, storytelling, and event design for senior audiences.
• Collaboration: Excellent cross-functional leadership skills, with experience collaborating closely with Sales, Customer Success, Product, and Communications teams.
• Global Mindset: Ability to work effectively across different time zones and cultures (US and EMEA).
• Language Skills: English is required as we serve customers throughout Canada from our Montreal location, and a significant majority of business is conducted in English; however, wherever possible, we will support the employee's right to work in French. French proficiency is a strong plus. 

Soft Skills:

• Passion: A passion for elevating the customer experience at every touchpoint.
• Strategic Translation: The ability to engage with executives and translate strategic customer insights into business action.
• Technical Sensibility: You don’t necessarily have a deep technical background, but you love experimenting with new tools and have a personal interest in how AI and innovation drive business value.
• Balance: A balance of creative vision and operational discipline—with a focus on measurable impact, relationship depth, and customer lifetime value.
• Ambiguity: Comfort with breaking new ground on processes and principles in a fast-growing environment.

WHAT HAPPENS NEXT

If your application fits this specific position’s needs, our skilled Talent team will reach out to schedule an initial screening call. Get one step closer to achieving your goals – apply today! 

Our Talent team will guide you through every step of the interview process - from preparation to completion. They're here to support you! 

Our recruitment process is designed to assess your competencies through a series of personalized interviews with internal stakeholders relevant to the role. 

Interviews will be conducted virtually via video or on-site with face-to-face meetings.

LIFE AT IVALUA

• Hybrid working model (3 days in the office per week)
• We're a team dedicated to pushing the boundaries of product innovation and technology
• Sustainable Growth, Privately Held
• A stable and cash-flow positive Company since 10 years
• Snacks and weekly lunches in the office
• Feel empowered to pursue your goals with improved team collaboration and increased creativity/productivity
• Unlock and unleash your full professional potential with our exceptional training and career development program
• Join a dynamic and international team of top-notch professionals who are experts in their respective fields. Collaborate with like-minded individuals who are deeply passionate and highly motivated about their work. Experience a truly diverse and inclusive work environment where your unique contributions are highly valued
• Regular social events, competitive outings, team running events, and musical activities,
• Comparably recognized Ivalua for the following (https://www.comparably.com/companies/ivalua):

Powered by People - Powered by You!

United by our values we embrace diversity and equity in the broadest possible sense to create an inclusive workplace. To help our customers make supply chains more efficient, sustainable and resilient, we rely on a global team with a variety of backgrounds, skills and views. We believe in equal opportunity and in diversity as a driver of innovation that cultivates a spirit of inclusiveness, creates a productive and fun place to work, and provides fulfilling career opportunities for all Ivaluans. https://www.linkedin.com/company/ivalua/about/

Experience life at Ivalua - check out our captivating video! Gain insight into our unique company culture and get a glimpse of what it's like to work with us.

#LI-HYBRID #LI-AP1 #LI-DNI

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

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 Finance Data Team sits at the intersection of Finance & Accounting teams and Life360’s data. We provide the data ingestion / processing / reporting / egress needed by our partner teams in Finance & Accounting to enable their work and ensure SOX compliance with rigor. We push the envelope on how work is done through implementation of AI tools and capabilities to enhance our own pace of development and capabilities that we deliver to our stakeholders.

We are hiring a bar-raising Staff Data Engineer to drive our ingress / egress capabilities and build cross-cutting capabilities to drive developer experience and security. This role requires someone who can step into ambiguity, make sound architectural decisions, eliminate operational fragility, and establish an engineering discipline that others adopt.

You will serve as a technical reference point - shaping standards, influencing cross-team architecture, and driving initiatives to clear, production-ready outcomes. We value engineers who are direct, collaborative, and proactive in surfacing risks early, while helping build a team culture where high standards and psychological safety coexist.

About the Job

The Life360 Finance Data Team works as the integrator for numerous systems - bringing data into the Finance Data Warehouse, transforming it, and pushing it to its relevant destinations (reporting, data asset deliverables, tools, etc).  To support our role we are continuously building and enhancing our system - adding new data, new transformations, and new tooling to improve developer velocity and ‘buy down’ overhead costs associated with maintaining our system.

As a Staff Data Engineer you will drive forward the:

• Data ingestion suite - a mix of capabilities ranging from Fivetran to completely custom connectors that bring data into our warehouse and monitor for data quality.
• Data transformation suite - enhancing our dbt environment (dbt core) and the suite of tools that we leverage to build data models, semantic models, and other interfaces.
• Data egress suite - a mix of capabilities that allow us to push data to its end destinations.
• CI/CD pipelines and other tools / capabilities to enhance the developer experience and velocity.
• Infrastructure and networking behind our warehouse and related connectors.
• Databricks configuration and capabilities.
• Security posture and access controls.

The ideal candidate:

• They have spent years building out data platforms / infrastructure as well as creating ingress / egress data frameworks that are used in pipelines.  They have tackled numerous challenges and found novel solutions to problems for data ingestion, processing, and egress.
• They have learned how to leverage LLMs for development velocity and analytics - not just asking it to write the code but leveraging the tools to support their development under clear guidance and accepts ownership of the work produced as their own.
• They have learned to think about scalability / velocity / experience of future development and not just shipping the current project.
• They are part software engineer, part data integration engineer, and part data platform engineer.
• They adhere to the controls / procedures / separation of duties necessary to maintain our SOX compliance.

We are looking for someone with strong engineering depth who demonstrates ownership, decisiveness, and the ability to elevate both the system and the team around them.

For candidates based in the US, the salary range for this position is $190,000 to $280,500 USD. For candidates based out of Canada, the salary range for this position is $220,000 to $260,000 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.

AI / LLM Usage

The Finance Data Team leverages LLM’s to support code generation, analysis, and other use cases.

• Cursor / Claude Code.
• Other tools (Wispr Flow, Claude & Claude Cowork, Gemini / Codex).

Your experience with AI / LLM usage should include managing code generation with a close eye on quality, standards, and testing - owning the outputs as your own.  Your work with and ability to leverage these tools will drive your velocity and ability to effectively work within our environment.

What You’ll Do

• Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring. 
• Architect and evolve our CI/CD processes - enhancing the testing environment and observability (such as building LLM-driven reviews with context awareness through data diffing, lineage analysis / downstream impact analysis, and general context).
• Architect delivery architecture of data assets to external team partners to reduce manual operational overhead associated with month end close.
• Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.
• Enhance our security posture in our AWS / Databricks environment.
• Design and implement distributed data processing systems using Spark and Databricks on AWS.
• Establish clear ingestion and integration boundaries that eliminate single points of failure.
• Proactively surface risks, dependencies, and tradeoffs before they impact delivery.
• Produce clear technical artifacts and recommendations for stakeholders and leadership.
• Design logical and physical data models balancing flexibility, performance, governance, and scalability.
• Partner closely with the Analytics Engineers on the Finance Data Team to support high-quality downstream data modeling & reporting.
• Harden pipelines with monitoring, alerting, SLAs, and recovery mechanisms.
• Mentor engineers and elevate distributed systems rigor across the team.

What We’re Looking For

• 8+ years designing and operating high-volume distributed data systems in production.
• Deep expertise with a cloud data platform (Databricks strongly preferred) and AWS from an infrastructure / services architecture, deployment, and ownership perspective.
• Strong proficiency in Python, SQL, and Spark for large-scale processing.
• Strong proficiency with modern CI/CD practices (creating GitHub Actions, writing Terraform code to manage infrastructure in Databricks / Airflow / AWS / and others).
• Hands-on experience with dbt from an infrastructure / deployment perspective and understanding of how platform decisions impact downstream modeling.
• Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization.
• Experience with Airflow and data flow orchestration.
• Experience with networking challenges in data ingestion (e.g., VPC peering, firewall traversal, API rate limiting, cross-AWS account access, etc.)
• Able to effectively leverage / oversee LLM-supported code development while maintaining a high quality bar.
• Demonstrated experience with AI tools to support / enhance development - Claude Code, Cursor, etc.
• Demonstrated ability to independently scope ambiguous problems and drive them to decisive outcomes.
• Track record of proactively escalating risks and closing long-running efforts with clear recommendations.
• Experience defining ingestion validation standards and implementing data quality controls.
• Proven ability to reduce operational fragility and eliminate single points of failure.
• Strong systems design skills across distributed and event-based architectures.
• Demonstrated technical leadership influencing cross-team architectural decisions.
• Excellent communication skills across engineering, analytics, product, and executive stakeholders.
• BS in Computer Science, Engineering, Mathematics, or equivalent 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 creates a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the qualifications above, you should still seriously consider applying!

#LI-Remote

____________________________________________________________________________

As a Senior Software Engineer at Clariti, you’ll work at the intersection of Salesforce, distributed SaaS architecture, and off-platform services. Our product is delivered as managed packages into customer orgs and supported by Java- and Node-based services, so this role goes beyond single-org Salesforce development.

You’ll help shape how we build, scale, and operate a multi-tenant product used across many customer environments.

What you’ll do 🚀

• Architect and develop complex Salesforce solutions designed for managed packages and multi-org distribution
• Design systems that span Salesforce and off-platform services (Java, Node.js, APIs, event-driven integrations)
• Lead technical design discussions and mentor engineers across Salesforce and backend domains
• Apply package-safe patterns, versioning strategies, and upgrade paths for enterprise customers
• Optimize performance, reliability, and scalability across Salesforce and external services
• Collaborate with Product, Platform, and Backend teams to translate business needs into robust technical solutions
• Leverage AI-assisted development tools to improve developer productivity, code quality, and delivery speed
• Stay current with Salesforce releases while balancing innovation with long-term platform stability
  
  

What do you bring to the team? 🧠

Please note: for this role you must be living in and working out of Canada

We’re especially interested in candidates who fit one (or more) of the following archetypes:

🟦 Salesforce Expertise (Beyond a Single Org)

• Deep expertise in Salesforce (Apex, LWC, APIs, security, limits, data modeling)
• Hands-on experience building managed packages or products distributed across multiple customer orgs
• Strong understanding of Salesforce limits, packaging constraints, and upgrade-safe design patterns
• Opinions about Salesforce architecture and the experience to back them up
• Comfortable designing solutions where Salesforce is part of a larger system, not the entire system
  
  

🟩 Technical Skills & Experience

• Experience architecting systems across multiple platforms and runtimes
• Working knowledge of backend service development, RESTful and asynchronous APIs, and integration patterns
• Ability to dive into unfamiliar codebases and ship meaningful improvements quickly
• Familiarity with modern engineering practices: CI/CD, observability, testing strategies, and system design
• Excitement about applying strong engineering fundamentals to both Salesforce and off-platform services
  
  

Bonus Points 🎉

• Experience building or maintaining SaaS products delivered via managed packages
• AI-assisted development experience (e.g., Copilot, Codex, Claude Code etc)
• Exposure to event-driven or asynchronous architectures
• Experience supporting enterprise customers in production environments

What’s in it for you?🫵

We invest in and empower our team members with competitive compensation packages, well deserved time off and benefits to keep you and your family healthy! *

💰 The base salary range for this role is expected to be between $103,000- $160,000 based on the candidate’s skills, experience, and qualifications while considering internal pay equity and our broader pay philosophy. 💰

If you have questions about compensation as we move through the process, we’re happy to discuss further.

*Benefits depend on employment type (full-time, part-time, contract, etc).

How do you want to pay? It’s a question you’ve answered on-screen or in-person thousands of times, but your choices have always been limited. Imagine the flexibility to pay however you want – credit, debit, multiple currencies, frequent flyer miles, loyalty points, or digital payments - all on the same card or digital wallet. Sound impossible? Episode Six makes the seemingly impossible happen every day. 

We’re a global provider of API-based payment processing and wallet management infrastructure. We’re 100% cloud-native, hyper-configurable, and a “Top 10 Place to Work in Fintech.” And we’re changing how people think about payments. 

Today, we’re powering payments for one of the world’s largest banks and airlines and numerous innovative fintechs. E6 is headquartered in Austin with offices in Tokyo, Singapore, Brisbane, and London. We provide technology for clients in 24 countries on four continents. Since 2018 when we launched with HSBC, we have grown more than 10x. 

Interested in redefining what’s possible in payments? Join Episode Six today. 

What we’re hiring for:  

We are a growing fintech organization looking to add a Solutions Architect for our Global Delivery team!

What you’ll be responsible for in this role:  

• Lead technical pre-sales exercises with customers 
• Prepare and deliver technical presentations 
• Lead design of creative solutions from conception to delivery, shaping our clients’ thinking 
• Support sales in answering RFI/RFP/RFQ (technical focus) and other customer proposals 
• Crafting well defined description of operations/statement of works, partitioning solutions, supporting definition of project specifications, requirements and any development needs 
• Working with development teams and project managers to deliver client solutions as per the agreed scope 
• Providing solutions assurance, ensuring our proposals meet our client’s business requirements and align with our technology strategy & standards 
• Articulating and managing technical risks 
• Supporting Episode Six’s goals and objectives such as those related to sales, productivity, profitability and industry penetration 
• Assisting in developing strategies and materials in support of the Episode Six’s overall solution architecture practice, business development and sales effort 
• Contributing to our roadmap, shaping our future solutions 
• Providing subject matter expertise to our clients and colleagues 
• Traveling as required, mostly in UK region 

What experiences and skills are necessary to be successful in this role:  

• 10 years of experience in customer-facing roles, solution architecture & technical design, and payments industry with a strong focus on card payments, including credit, debit, and prepaid products
• Hands-on experience in card processing systems and standards such as ISO 8583, and integration with card networks including Mastercard and Visa
• Excellent communication skills (English) – ability to engage across a broad range of stakeholders at an appropriate level, business or technical 
• Ability to articulate ideas/solutions clearly, visually and written 
• Experience working with APIs 
• Strong technical understanding, capability and willingness to learn and develop skills on a daily basis 
• Very driven and self-motivated, able to work autonomously 
• A team player with a ‘can-do’, entrepreneurial attitude that thrives in an agile, ever-changing world 
• Knowledge of payment concepts and global payments landscape; preference to the local regulatory landscape in the US region 
• Application architecture/domain expertise in Java based applications and cloud/on-premise infrastructure 

What makes a successful E6er?  

• We appreciate the unique backgrounds, skill sets, experiences, and contributions each E6er brings. With a strong culture of respect for all, we foster an inclusive and supportive environment for every E6er to excel and grow. 
• We take immense pride in everything we do, no matter how big or small. We work hard, we work smart, and we sweat the details. We are humble enough to know that we do not know it all. We are excited to come to work every day, knowing we will be learning, improving, innovating, and making an impact. 
• A people first mentality. Professional development from day 1, a 360 focus on your wellbeing, and the ability to work where you need to, we’re here to support you. 

Authorization to work in either the U.S. or Canada is a precondition of employment at E6. We unfortunately are not able to provide employment sponsorship at this time. 

Episode Six is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics.

Episode Six is committed to providing reasonable accommodations for qualified individuals with disabilities who may require assistance during the application or interview process. Please reach out to E6’s Talent Acquisition Team at recruiting@episodesix.com if you need any support.

How do you want to pay? It’s a question you’ve answered on-screen or in-person thousands of times, but your choices have always been limited. Imagine the flexibility to pay however you want – credit, debit, multiple currencies, frequent flyer miles, loyalty points, or digital payments - all on the same card or digital wallet. Sound impossible? Episode Six makes the seemingly impossible happen every day. 

We’re a global provider of API-based payment processing and wallet management infrastructure. We’re 100% cloud-native, hyper-configurable, and a “Top 10 Place to Work in Fintech.” And we’re changing how people think about payments. 

Today, we’re powering payments for one of the world’s largest banks and airlines and numerous innovative fintechs. E6 is headquartered in Austin with offices in Tokyo, Singapore, Brisbane, and London. We provide technology for clients in 24 countries on four continents. Since 2018 when we launched with HSBC, we have grown more than 10x. 

Interested in redefining what’s possible in payments? Join Episode Six today. 

What we’re hiring for:  

We are a growing fintech organization looking to add a Solutions Architect for our Global Delivery team!

What you’ll be responsible for in this role:  

• Lead technical pre-sales exercises with customers 
• Prepare and deliver technical presentations 
• Lead design of creative solutions from conception to delivery, shaping our clients’ thinking 
• Support sales in answering RFI/RFP/RFQ (technical focus) and other customer proposals 
• Crafting well defined description of operations/statement of works, partitioning solutions, supporting definition of project specifications, requirements and any development needs 
• Working with development teams and project managers to deliver client solutions as per the agreed scope 
• Providing solutions assurance, ensuring our proposals meet our client’s business requirements and align with our technology strategy & standards 
• Articulating and managing technical risks 
• Supporting Episode Six’s goals and objectives such as those related to sales, productivity, profitability and industry penetration 
• Assisting in developing strategies and materials in support of the Episode Six’s overall solution architecture practice, business development and sales effort 
• Contributing to our roadmap, shaping our future solutions 
• Providing subject matter expertise to our clients and colleagues 
• Traveling as required, mostly in UK region 

What experiences and skills are necessary to be successful in this role:  

• 10 years of experience in customer-facing roles, solution architecture & technical design, and payments industry with a strong focus on card payments, including credit, debit, and prepaid products
• Hands-on experience in card processing systems and standards such as ISO 8583, and integration with card networks including Mastercard and Visa
• Excellent communication skills (English) – ability to engage across a broad range of stakeholders at an appropriate level, business or technical 
• Ability to articulate ideas/solutions clearly, visually and written 
• Experience working with APIs 
• Strong technical understanding, capability and willingness to learn and develop skills on a daily basis 
• Very driven and self-motivated, able to work autonomously 
• A team player with a ‘can-do’, entrepreneurial attitude that thrives in an agile, ever-changing world 
• Knowledge of payment concepts and global payments landscape; preference to the local regulatory landscape in the US region 
• Application architecture/domain expertise in Java based applications and cloud/on-premise infrastructure 

What makes a successful E6er?  

• We appreciate the unique backgrounds, skill sets, experiences, and contributions each E6er brings. With a strong culture of respect for all, we foster an inclusive and supportive environment for every E6er to excel and grow. 
• We take immense pride in everything we do, no matter how big or small. We work hard, we work smart, and we sweat the details. We are humble enough to know that we do not know it all. We are excited to come to work every day, knowing we will be learning, improving, innovating, and making an impact. 
• A people first mentality. Professional development from day 1, a 360 focus on your wellbeing, and the ability to work where you need to, we’re here to support you. 

Authorization to work in either the U.S. or Canada is a precondition of employment at E6. We unfortunately are not able to provide employment sponsorship at this time. 

Episode Six is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics.

Episode Six is committed to providing reasonable accommodations for qualified individuals with disabilities who may require assistance during the application or interview process. Please reach out to E6’s Talent Acquisition Team at recruiting@episodesix.com if you need any support.

Overview

Instacart's Enterprise Solutions Architecture & Engineering team collaborates closely with leading retailers to develop and implement a wide range of tailored solutions. With expertise in cloud architecture, solution design, and domain-specific systems, the team navigates complexities in loyalty programs, payments, and eCommerce platforms. The team's work spans from straightforward integrations to highly complex, customized systems that drive retail innovation. Specialists in our team are adept at designing and delivering scalable solutions that meet the diverse needs of the retail sector. Their deep understanding of both technology and business ensures that each solution enhances the retailer's competitive edge.

A Solutions Architect at Instacart plays a crucial role in owning the technical design and solutioning responsibilities for our enterprise Retailer partners. This role works directly with partners to onboard them onto our platform, integrate with our suite of APIs, and ensure that our solutions meet their specific needs. The role involves high-level client interactions, managing technical and business requirements, and collaborating with internal teams to deliver exceptional solutions.

About the Job

• Lead the design and execution of comprehensive solutions, addressing both system and business needs. Develop solution proposals, drive execution, and ensure successful project launches.
• Build and maintain strong relationships with technical and business stakeholders at Enterprise Retailer partners. Understand their requirements, constraints, and integration needs.
• Work closely with Product, Engineering, and Business Development teams at Instacart to ensure alignment and drive successful project outcomes.
• Serve as a subject matter expert on Instacart's platform and external-facing APIs. Provide deep technical insights and guidance to partners and internal teams.
• Develop tools, processes, and documentation to scale partnerships and enhance solution delivery. Continuously seek ways to improve efficiency and effectiveness.
• Address complex business challenges and technical issues, balancing client needs with technical constraints. Make trade-offs as necessary and raise risks proactively.

About You

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• 1-3 years of experience as a Software Engineer or Architect, with a strong background in solving complex business challenges. Experience in a client-facing or consulting role is highly desirable.
• Proficiency in code/scripting/automation (e.g., SQL), and a solid understanding of e-commerce solutions, integration, and API connections.
• Exceptional ability to convey technical concepts to non-technical audiences. Experience interacting with stakeholders at all levels, including Directors and above.
• Demonstrated comfort and competence in managing client expectations, handling technical demands, and delivering under tight deadlines.
• Strong sense of ownership and ability to navigate complex scenarios, balancing technical and business needs.

Preferred Qualifications

• Recent hands-on experience in system design or engineering.
• Experience in external-facing or client-facing roles involving technical discussions and product presentations.
• Experience leading technical initiatives, guiding projects, and aligning teams.
• Understanding of retail systems.

#LI-Remote

Drive the future of resilient, cloud-first database platforms powering mission-critical payment ecosystems.

The Role

We are seeking a highly skilled AppOps DBA to join our Technology & Engineering team. In this role, you will play a key part in developing, operationalizing, and supporting next-generation on-premises and cloud database solutions. You will provide technical leadership across Oracle, Exadata, and Aurora PostgreSQL platforms, helping to ensure high availability, scalability, security, and operational excellence across mission-critical environments.

Working closely with Development, QA, Platform Engineering, and AppOps teams, you will contribute to automation-led database operations, cloud transformation initiatives, and continuous performance optimization in a fast-paced, highly collaborative environment.

What You’ll Do

• Manage and optimize Oracle, PostgreSQL, Aurora, AWS RDS, and Exadata database environments to ensure performance, reliability, and availability.
• Lead database operationalization initiatives including automation, observability, resiliency, backup, recovery, replication, and disaster recovery strategies.
• Support and influence cloud migration programs from Oracle on-premises environments to AWS-based Oracle and Aurora PostgreSQL platforms.
• Implement CI/CD pipelines, Infrastructure as Code practices, and intelligent automation to streamline deployment and operational processes.
• Collaborate cross-functionally with engineering, product, and support teams while participating in rotating on-call production support activities.

What We’re Looking For

• Strong hands-on experience managing Oracle Exadata, AWS RDS, Oracle, and Aurora PostgreSQL database environments.
• Expertise in AWS technologies including EC2, S3, Aurora, Redshift, AWS DMS, and AWS Schema Conversion Tool (SCT).
• Deep understanding of database architecture, SQL tuning, PL/SQL, performance optimization, backup and recovery strategies, and high-availability design.
• Experience with DevOps methodologies, container platforms such as Kubernetes and Docker, and Infrastructure as Code tools including Terraform, CloudFormation, and Ansible.
• Excellent communication, collaboration, and technical documentation skills, with the ability to work effectively across business and technical teams.

Bonus Points For

• AWS Certified Database – Specialty certification.
• AWS Certified Data Engineer or AWS Certified Solutions Architect certification.
• Oracle Cloud or Oracle Database certifications.
• Experience mentoring technical teams and driving operational best practices.
• Previous experience supporting large-scale distributed production environments in financial services or highly regulated industries.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment.
• Retirement Savings Program – RRSP with optional employer matching contributions.
• Virtual Health Care and Employee & Family Assistance Program available to employees and dependents.
• Enhanced parental leave benefits, wellness reimbursement, and new parent support programs.
• Business Coach from Day 1 with continuous learning and development opportunities.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

#LI-hybrid

Location: This role can be based at our office in Bothell, WA (US) or in Oxford, England (UK).
Travel: Twice per year
Job ID: 1453

The Role

As a Staff Software Engineer for Developer Tools, you will be responsible for delivering the next generation of quantum compiler tools and features, with the focus of integration into quantum software applications, overall developer experience, documentation and developer tooling. Your work will involve setting high-level technical standards, mentoring senior engineers and scientists, and providing deep expertise to solve the most challenging problems in quantum compilation, optimization, and hardware interfaces. You will drive the adoption and enhancement of critical, user-facing compiler infrastructure, ensuring our tools are aligned with cutting-edge quantum research (e.g., advanced error mitigation, novel compiler optimization techniques). You will work across organizational boundaries, Compiler, QEC, Applications, and Engineering, to support scientific breakthroughs and define the technical strategy for packaging, documentation, and release processes for major components of IonQ’s developer tooling ecosystem.

The Developer Tools team builds the critical software layer for IonQ’s quantum software tools. In this Staff role, you will be a key driver in shaping the future of this ecosystem, and bridging the gap between critical parts of our engineering and computing organizations. Your impact will be measured by the successful delivery of critical, cross-functional projects and the elevation of technical execution across the entire team.

As a Staff Software Engineer, your influence extends beyond a single project; you define the technical bedrock upon which IonQ's developer ecosystem is built. The compiler is the critical interface where quantum algorithms are realized on hardware, and your architectural decisions will dictate the performance ceiling and accessibility of our systems. You will lead the charge in making advanced quantum techniques, from sophisticated hardware-aware compilation to state-of-the-art error mitigation, seamlessly available to every developer. This role offers the unique opportunity to leverage your deep experience to solve fundamental technical challenges, mentor the next generation of quantum software leaders, and accelerate the global adoption of quantum computing.

Responsibilities

• Define the technical strategy and roadmap for major components of the compiler toolchain, optimization suite, and developer interfaces, ensuring long-term maintainability and performance.
• Serve as the primary architect and technical lead for large, complex engineering projects spanning multiple teams (e.g., integrating a new compilation paradigm or full-stack error mitigation strategy).
• Drive the design and implementation of highly scalable and robust interfaces for hardware-specific compilation features, including advanced pulse-level control and system diagnostics.
• Establish best practices and mentor engineers on software architecture, design patterns, testing methodologies, and maintainership.
• Collaborate closely with research teams to evaluate, prototype, and productize novel quantum algorithms and compilation techniques, bridging the gap between research and production.
• Oversee the comprehensive documentation, examples, tutorials, and packaging strategy for all compiler-related developer tools to ensure ease of adoption and a world-class user experience.
• Act as a key technical resource for the Applications Engineering team, providing deep expertise to employ compilation techniques to solve customer-specific challenges and gather requirements for new features.
• Champion continuous improvement in software engineering processes, automated testing, CI/CD, and validation standards across the Developer Tools organization.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Physics, or a related field, or equivalent training, fellowship, or work experience.
• 10+ years of professional software engineering experience, with a significant portion spent in a technical leadership or architectural role.
• Deep expertise in Python and experience designing and maintaining large-scale, performance-critical software systems.
• Expert-level understanding of quantum computing principles, quantum circuits, optimization techniques, and compiler fundamentals.
• Proven track record of driving complex, cross-functional engineering projects from concept to production delivery.
• Experience in system-level architecture and design, translating high-level requirements into clear, actionable technical specifications and implementation plans.
• A history of mentorship and elevating the technical capabilities of a multi-level engineering team.
• Familiarity with Agentic AI coding tools and techniques, and experience integrating them into modern software development workflows.
• Exceptional written and verbal communication skills, with a track record of authoring impactful technical papers, specifications, and external documentation.

Preferred Qualifications:

• An advanced degree (PhD or Master's) in Physics, Computer Science, or a related field with a focus on quantum computing or compiler technologies.
• Direct experience in compiler development (classical or quantum), particularly with optimization passes, intermediate representations, or static analysis tools.
• Deep expertise in system-level programming (C++, Rust) for high-performance computing or hardware interaction.
• Significant contributions to open-source software, especially in the quantum computing ecosystem (e.g., Qiskit, Pennylane, Cirq, ucc, jeff).
• Experience with low-level hardware control, pulse-level programming, dynamic circuits, or systems programming.
• A strong background in applied quantum error correction (QEC) or advanced quantum error mitigation techniques.
• A demonstrated ability to influence technical direction across organizational boundaries and secure buy-in for strategic initiatives.

The approximate base salary range for this position is $167,808 - $219,704 (USD). The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

Role Overview 

We are seeking an accomplished Principal Engineer to lead the technical architecture and evolution of our hybrid digital ecosystem. In this pivotal role, you will drive the strategic integration of multi-modal AI into our core infrastructure while architecting an omnichannel platform capable of supporting complex customer journeys. You will balance the adoption of proven third-party AI solutions (OpenAI, Anthropic) with the development of proprietary optimizations where they deliver a competitive advantage. As a technical leader, you will champion a vendor-agnostic, ethically grounded, and Privacy by Design approach to AI implementation.

Key Responsibilities

• Infrastructure Modernization: Lead the roadmap for migrating legacy data pipelines to AI-native architectures. You will design modern data orchestration solutions utilizing Apache Airflow, dbt, and Kafka to replace outdated batch processing with real-time, event-driven flows.
• AI-Native Web Transformation: Define the web infrastructure required for a high-agility ecosystem. Architect the evolution of our Headless CMS environments (AEM, Contentful) and modern frontend frameworks to enable automated page assembly and AI-driven UI components.
• Agentic Pipeline Development: Design and build autonomous pipelines that bridge the gap between design systems, automated component development, and publishing workflows.
• ML & Data Engineering Leadership: Establish standards for RAG, vector databases, and LLM orchestration. Provide architectural guidance for the seamless integration of AI capabilities across headless and omnichannel systems while ensuring consistency, performance, and security.
• Engineering Productivity: Champion the use of AI-assisted coding and engineering productivity tools such as Claude Code and Cursor to accelerate development cycles and optimize architectural decision-making.

Required Qualifications

• Experience: 8–10 years in software engineering, specializing in SaaS platform architecture and distributed systems design.
• Leadership & Advocacy: Excellence in technical diplomacy and stakeholder influence. Proven ability to translate complex AI/Data roadmaps into business value while mentoring senior teams and advocating for architectural best practices.
• Data Orchestration: Strong hands-on experience with Apache Airflow (or similar), Kafka, and dbt to support real-time AI applications.
• AI & Web Convergence: Proven expertise integrating LLMs into production web environments with a focus on agentic workflows and autonomous UI generation.
• Architectural Vision: Deep understanding of headless CMS, composable, and event-driven patterns that allow for programmatic content and UI generation.
• Modern Delivery: Experience with cloud-native technologies (AWS/GCP, Docker, Kubernetes) and a deep expertise in data privacy frameworks and AI ethics.

#LI-Hybrid

#P24079_3413893

See yourself at Twilio

Join the team as Twilio’s next Senior Sales System Engineer ( Application Engineer 3 )

About the job

Twilio is looking for a Senior Salesforce Developer to join the GTM Automation team. This is a great role for an experienced Salesforce developer looking to work more closely with the business, apply their mastery on the Salesforce platform to deliver impact, and expand the breadth of exposure beyond Salesforce. You will be in the unique position of joining a growing development team that you can learn with and help shape. 

You are right for this role if you excel at solving multi-faceted problems, managing large volumes of data,  and building world-class tools that drive impact. The ideal candidate is able to deeply understand the core business problem being addressed, balance speed and quality, and provide solution alternatives. You are a results-oriented individual who is motivated to tackle complex problems, has a "can do" attitude, and is comfortable asking questions.

Responsibilities

In this role, you’ll:

• Work with the GTM Automation Systems team on evolving a Salesforce data model that is technically scalable, easily reportable, and functionally intuitive for end users.
• Utilize SOQL API’s, Apex controllers, Apex Web Services, Apex callouts, and other development tools to build custom functionality that tailors our sales systems to our unique business and operating model.
• Participate in technical analysis activities together and document requirements for application Integration and also involved in integration design activities working with architects and other stakeholders.
• Review and assure quality in all code entering our codebase.
• Continually evaluate and refactor our existing codebase for increased extensibility.
• Architect and implement solutions specifically designed to stay within Salesforce multi-tenant constraints (e.g., Heap Size, CPU timeouts, and SOQL limits).
• Ability to learn new technologies depending on project requirements.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 4-6 years of experience building and maintaining Salesforce environments supporting enterprise-scale systems.
• Must have hands-on experience building Lightning Web Components, Apex,SOQL GitHub, and other CI/CD tools within Salesforce.
• Solid understanding of Salesforce integration patterns (REST/SOAP APIs, platform events, asynchronous processing)
• Strong experience designing Salesforce data models for complex workflows and integrations
• Experience leveraging AI-assisted development tools (e.g., Claude, Cursor) to accelerate the development of Apex code, Flows, and Salesforce metadata while maintaining code quality and best practices
• Debug issues, troubleshoot errors, and help maintain existing Salesforce solutions for performance and reliability
• Collaborate with team members, business analysts, and stakeholders to understand requirements and implement solutions
• Stay updated with Salesforce features, tools, and releases while continuously improving technical and problem-solving skills.
• Proficiency in developing unit tests with assertions for core functionality

Desired:

• ​​Platform Developer 1 and ​​Platform Developer 2 certification 
• Experience in SQL, Python, Data Cloud, Snowflake
• Hands-on experience with MuleSoft/Informatica or similar middleware
• Experience developing and deploying through Heroku.
• Experience with Agentforce (AI bots, agent assistance, automated routing and classification) Einstein, AI tools/technologies , Tray.io

Location

This role will be based remotely in British Colombia, Alberta, or Ontario Canada

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

The estimated pay ranges for this role are as follows:

• CAD $109,600 - $137,000

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. 

See yourself at Twilio

Join the team as our next Senior Business Systems Analyst, Top of Funnel

About the job

This position is needed to build extraordinary tools and solutions for our rapidly growing Go-To-Market teams. The GTM Systems Operations is crucial for the success and scalability of our Go-to-Market efforts. We are the drivers of the system, process, and data improvements that unlock new possibilities across the Sales, Revenue Operations  and GTM organization. The Sr. BSA, Top of Funnel, will work within the Sales Automation team to support, build and maintain solutions for the Top of the Funnel  value stream.

Responsibilities

In this role, you’ll:

• Collaborate with product owners, builders, and program managers to architect and manage solutions within Salesforce as well as adjacent technologies
• Develop and maintain a holistic view of CRM-based processes and user personas to ensure your projects are compatible with upstream and downstream systems and processes
• In partnership with the product owner and Technical Lead, Own projects end to end to improve the way our Go-To-Market and internal teams leverage Salesforce, Salesloft, DataCloud and ETL tools.
• Translate business requirements into technical solutions and balance project timelines from a diverse group of stakeholders with varying priorities and levels of technical acumen.
• Engage in requirement gathering and stakeholder management for the prioritized work.
• Partner with 3rd party vendors to implement new out of the box features and design custom solutions.

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 4-8 years of experience with Salesforce implementation, Support and Maintenance. 
• Must have experience with Salesforce admin work and Sales Cloud / CTA management
• Demonstrated ability to understand business needs and translate user requirements into system requirements
• Salesforce Admin Certification
• Advanced knowledge of and experience with Salesforce Flow
• Strong presentation, communication, and facilitation skills
• Demonstrated ability to translate complex technical architecture into digestible information for varying levels of experience and detail
• Experience collaborating with a global team

Desired:

• Salesforce Platform App Builder or Salesforce Developer 1 Certifications
• Experience designing and building in Salesforce for a large user base (2000+)
• Prior technical consulting experience
• Analytics, SOQL and SQL experience
• Experience partnering with third-party tool vendors and collaborating on feature implementation

Location 

This role will be remote and based in Ontario, British Columbia or Alberta, Canada. 

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.

The estimated pay ranges for this role are as follows:

• Based in British Columbia: CAD 99,760.00 - CAD 124,700.00 
• Target Bonus Percentage: 12.5%

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Customer Experience:

The Customer Experience Team at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a AI/ML Specialist Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work remotely from the US or Canada.

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5 - 10 + years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 225k - 315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

Customer Experience:

The Customer Experience Team at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work remotely from the US or Canada.

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5 - 10 + years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 225k - 315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from the United States or Canada.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $255k - $315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

Role & Team

As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You’ll help shape the next generation of Overstory’s modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.

Reporting to our VP of Product Engineering, you’ll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready – balancing scientific rigor with practical engineering excellence. As a senior technical leader, you’ll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.

Time zone requirement: Eastern North America (NST, AST, EST)

What You’ll Do

In collaboration with data, ML, and science colleagues, you will:

• Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
• Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
• Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
• Build reproducible experimentation frameworks and model evaluation workflows.
• Scale models from research to production with a focus on performance, reliability, and explainability.
• Lead the evolution of ML systems, tooling, and processes — ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
• Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.

Skills & Experience

• Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
• 10+ years of experience designing and building production-grade ML pipelines and systems 
• Strong background in deep learning, computer vision, or remote sensing
• Skilled in designing end-to-end ML systems — from data ingestion and preprocessing to deployment and monitoring
• Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
• Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
• Strong communication skills and ability to collaborate across technical and scientific domains
• Comfortable leading architectural discussions and mentoring other engineers

Nice To Have

• Background in wildfire science, forestry, or remote sensing
• Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
• Experience in model interpretability and data provenance for environmental ML systems
• Experience with deep learning models for weather or climate data
• Experience in remote-first or globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Little more about the team:

The Solution Architecture team sits at the intersection of technology, customer advocacy, and revenue, working Honeycomb's most strategic opportunities. We partner with world-class engineering organizations to solve complex observability challenges and change how teams build and operate software. This is a team of hands-on technical leaders who want to shape major customer decisions, influence go-to-market strategy, and redefine what great technical selling looks like.

What you’ll do in the role:

• Drive technical strategy on Honeycomb's largest, most complex deals, partnering with Strategic AEs and Sales Leadership across the region.
• Lead discovery, solution design, and executive conversations that connect Honeycomb's platform to real engineering and business priorities.
• Own the technical win. Shape the success criteria, guide the POCs, run competitive bake-offs, and build stakeholder conviction from first call to close.
• Advise engineering leaders and executives at global enterprises on AI-era observability, modern operations, and how great teams build and run software.
• Turn complex customer environments into clear architectures and solution narratives that land with both developers and decision-makers.
• Leverage AI tools and get efficient and creative while maintaining accuracy and reliability. Human-in-the-loop is a real thing!
• Get hands-on when it matters. Instrument apps, unblock technical issues, and help customers prove outcomes in real environments. 
• Build things that scale: technical content, reusable demos, repeatable architectures, and bring thought leadership that makes the whole team better.
• Deliver demos, workshops, and presentations that move people, not just inform them.
• Work across Sales, Product, Marketing, Field Engineering, and DevRel to sharpen the go-to-market motion and improve how we show up for customers.
• Bring field signals back into the company. Help shape the product direction and demo strategy.
• Mentor peers and model the judgment and autonomy this role demands. Illustrate a clear path to broader leadership.

What you’ll bring to the role:

• 7+ years of pre-sales, solution architecture, or customer-facing technical experience in B2B SaaS. Ideally on strategic or enterprise accounts.
• A track record of winning complex, high-value deals with sophisticated buying committees and multiple technical stakeholders.
• Experience selling into developer, platform, SRE, or engineering-led organizations with the ability to earn credibility fast, with both technical depth and business fluency.
• Executive presence and the range to tailor your message from hands-on practitioners to the C-suite.
• Sharp solutioning skills: you whiteboard clearly, simplify complexity, and build compelling technical strategies for ambiguous, high-stakes situations.
• Hands-on fluency across modern cloud environments, CSPs, containers, Kubernetes, distributed systems, API-driven architectures.
• Strong working knowledge of observability, distributed tracing, and OpenTelemetry. You understand how modern teams instrument, troubleshoot, and optimize complex systems.
• Comfort navigating code and implementation details across languages and frameworks; enough to guide instrumentation and validation work directly.
• Strong instincts for unblocking deals, reframing challenges, and finding practical paths forward when things get ambiguous.
• Experience owning complex POCs and evaluations, defining success criteria, managing risk, and driving disciplined outcomes.
• A collaborative, cross-functional approach with experience influencing Product, Engineering, and GTM teams.
• A point of view on where observability, developer tooling, and AI-assisted workflows are headed and genuine enthusiasm for helping customers modernize.
• A mentorship and growth mindset: you share what you know, build reusable assets, and make the people around you better.
• Familiarity with MEDDPICC or Command of the Message is a plus.
• Willingness to travel ~20% for customer engagements, field events, and internal collaboration.

The Identity Threat Protection Team

Identity Threat Protection (ITP), powered by cutting-edge Okta AI, shatters the mold of traditional login security. We deliver real-time, surgical defense against the most sophisticated and rapidly evolving threats. By deeply integrating with existing security infrastructure, ITP relentlessly analyzes user behavior and system data to proactively hunt down and neutralize risks before they impact our customers.

Join an elite team of full-stack engineers, visionary data scientists, and pioneering ML engineers. We are not just redefining cloud authentication—we are engineering the next-gen security platform that continuously evaluates global threats and constructs a comprehensive, dynamic risk. ITP stands as the uncompromising guardian of trust and security, placing decisive risk prioritization at the core of every authentication and authorization decision.

Identity Threat Protection with Okta AI

The Staff Software Engineer Opportunity

Okta is seeking a Staff Software Engineer to be a driving force on the ITP engineering team. This is your chance to dive into the deep end and solve the most critical and complex security challenges facing enterprises today. We seek a candidate who has not just experience, but a proven record of designing, building, launching, and scaling world-class security products—from concept to global deployment.

You will be a technical cornerstone of a team that lives and breathes elegant solutions and uncompromising quality. Our philosophy is rooted in relentless automated testing, rigorous code reviews, and the design of systems for massive, planetary-scale operations. As a Staff Engineer, you are a player-coach and a standard-setter, demonstrating absolute excellence in software engineering.Our environment is high-speed, fiercely innovative, and highly autonomous, utilizing agile cycles where individual ownership is paramount. If you crave stimulating, mission-critical security projects, pioneering emerging technologies, and conquering complex security and Machine Learning challenges, this is your defining career opportunity.

What you’ll be doing 

• Architect and Lead: Command the design, development, delivery, and supportability of cloud-native security products—leading the charge from initial concept to final, production-ready implementation.
• Drive Collaboration: Build solid, cross-group partnerships and demonstrate exceptional interpersonal communication, working closely with engineering, product management, design, support, and documentation teams.
• Uphold Excellence: Commit to the highest programming standards through rigorous code reviews and the creation of comprehensive unit and functional tests.
• Lead Remote Teams: Excel at working with remote teams and individuals while relentlessly ensuring product quality, agility, and velocity.
• Mentor and Empower: Act as a player-coach to mentor, groom, and educate junior engineers.

What you’ll bring to the role

• 7+ years of experience building Java-based web applications.
• Deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
• Experience thriving in fast-paced software development teams that leverage continuous integration and deployment practices.
• Strong communication skills and the ability to work across functions.
• A powerful security background and a proven track record of championing best practices.

And extra credit if you have experience in any of the following!

• Experience building anomaly detection systems or risk systems is a monumental advantage.
• Expertise in cloud security, identity, and/or authentication protocols.
• Hands-on experience with one or more cutting-edge UI technologies such as Angular, ReactJS, Backbone, and Vue.

(P23225_3240232)

#LI-Hybrid 

#BB-1

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

____________________________________________________________________________

About the role:

Samsara’s Core GTM Programs team enables a high-performance go-to-market organization by leveraging technology, automation, and best-in-class methodologies to streamline operations, improve forecasting accuracy, and maximize efficiency & effectiveness across Sales, Customer Success, and related functions.

Within this team, the CS Core Programs PMO plays a critical role in driving the operating rhythm and execution of Samsara’s Customer Success organization. As a Senior Program Manager I, you will lead and deliver large-scale, cross-functional programs that support strategic CS priorities, including, retention and risk reviews, cross-functional alignment and operational scalability.

The ideal candidate brings strong analytical and business acumen, a passion for building scalable processes, and a proven track record of leading complex programs in fast-paced environments. This role requires a strong focus on change management, stakeholder alignment, and delivering measurable business impact across the post-sales journey.

We are looking for candidates who will champion, role model, and embed Samsara’s operating principles as we scale globally and across new offices.

This is a remote position open to candidates residing in Canada.

You should apply if:

• You want to impact the industries that run our world: Every phone call you answer and every email you send can affect whether truck drivers deliver goods on time and without accidents, whether students get dropped off safely from school, or whether power gets restored quickly after a natural disaster.
• You thrive the most when solving problems: Our constantly expanding technology and the complexities faced by our customers provide an exciting range of challenges for our GTM teams. With a growth mindset and a desire to learn, you will strategically partner with our customers to find unique solutions to help keep their operations safe, efficient, and sustainable.
• You are a natural relationship builder: Whether the relationship is with our customers or with cross-functional teams in Samsara, you are in constant communication and collaboration with key stakeholders to win as a team.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. This GTM Programs  team is still shaping its future and you will have plenty of autonomy and opportunities to master your craft in a hyper-growth environment.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by the best and brightest professionals out there.

In this role, you will own:

• Program Execution & Operational Cadence: Own and manage core Customer Success cadences, including QBRs, risk reviews, top deal reviews, and internal planning forums, ensuring consistent structure, clear outputs, and strong follow-through.
• Business Reviews & Execution Forums: Drive end-to-end coordination of key CS meetings and execution moments, including blitz days and cross-functional cadences, ensuring alignment, accountability, and high-quality execution.
• Operating Calendar & Planning Rhythm: Build and maintain the CS operating calendar, including planning cycles, key milestones, and recurring forums, to ensure alignment across teams and visibility into priorities.
• Product Release & Readiness Coordination: Partner with Product, Enablement, and CS leadership to manage the new product release calendar, ensuring readiness, communication, and effective rollout to the field.
• Cross-Functional Alignment: Partner closely with Customer Success, Sales, Support, Product, Operations, and Finance to drive clear ownership, communication, and alignment across all core programs.
• Program Measurement & Continuous Improvement: Track program effectiveness through defined KPIs and feedback loops, and continuously improve cadences to drive better execution and customer outcomes.

Minimum requirements for the role:

• Bachelor’s degree from a 4-year institution; MBA a strong plus.
• 6-8 years of experience in program management, sales operations, strategy, or consulting, ideally in a high-growth B2B SaaS environment
• Demonstrated success leading cross-functional GTM programs that improve sales execution and scalability
• Strong program management skills with expertise in end-to-end delivery (i.e. framing the need, scope requirements, document project roadmaps, partnering with teams, defining KPIs and reporting out on results)
• Ability to ramp up quickly on business priorities and derive insights from data to inform decisions
• Strong communication and written language skills including clear and concise documentation
• Proven track record of building trust and effectively partnering with a wide variety of stakeholders: executives, managers, front-line teammates and cross-functional partners 
• Diplomacy, tact, and poise under pressure when working through issues, skilled at having prioritization conversations and discussing tradeoffs 

Ideal Candidate has:

• Experience with B2B hardware and SaaS products 
• PMP certification, Agile/Scrum Certification  
• Experience using AI-powered tools to accelerate program design, automate execution tasks, or surface strategic insights.

About the role:

Are you a talented software engineer who’s excited to drive measurable business growth through technology? At Samsara, we’re looking for a Senior Software Engineer - Growth to help accelerate revenue by building products, systems, and AI agents that power scalable growth. You’ll work closely with our go-to-market (GTM) teams to identify opportunities, design and build solutions, and measure their real-world impact. We value engineers who are curious about the business, eager to learn new technologies, and capable of delivering quickly without compromising long-term quality. 

You’ll work across the full stack, from architecture and deployment to testing and iteration. Our stack includes Python for back-end development, JavaScript (Vue) for the front end, and AWS for infrastructure. We believe deeply in solving meaningful business problems through software, data, and collaboration across teams. The Growth Engineering team is the engine behind Samsara’s expansion and revenue acceleration. This role goes beyond writing code, it’s about engineering strategic impact across the customer journey and go-to-market lifecycle. You’ll partner with marketing, sales, and product to turn data-driven insights into experiments and platforms that scale.

If you thrive in a fast-paced environment, bring a sense of urgency, and love turning ideas into measurable results, we’d love to have you help shape the future of growth at Samsara.

This role is open to candidates residing anywhere in the US and Canada. 

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Leverage data to understand our customers and our funnel in depth, identify opportunity areas and execute projects to grow customers and revenue.
• Build and scale products that power Samsara's revenue engine, including customer acquisition funnels, revenue pipeline generation platforms, lead management infrastructure, and GTM AI products.
• Develop AI-powered products and agents that drive revenue pipeline and improve GTM operational efficiency - whether that's enhancing lead scoring models, automating content generation and multi-step GTM workflows, enriching data, or building smarter seller-facing tools.
• Partner closely with Product, Design, Sales, and Marketing to implement growth initiatives.
• Serve as a technical leader, mentoring junior engineers, driving engineering discussions and architectural decisions, influencing adoption of AI, and implementing product development best practices.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 6+ years of professional software engineering experience, preferably in full-stack or growth-focused environments.
• Proficiency in Python (Flask or similar frameworks) and JavaScript (ideally Vue.js or comparable frontend frameworks).
• Experience working with AWS or other cloud infrastructure platforms for deployment and scalability.
• Strong understanding of web architecture, performance optimization, and security best practices.
• Demonstrated ability to design, build, test, and deploy production-quality systems end-to-end.
• Experience using data and analytics to identify opportunities, measure impact, and iterate on solutions.
• Proven ability to collaborate cross-functionally with marketing, sales, and product teams to align technical solutions with business goals.
• Excellent debugging, technical communication, and problem-solving skills.

An ideal candidate also has:

• Strong business acumen and a curiosity about growth strategy, customer journeys, and go-to-market metrics.
• Adaptable, experiment-driven mindset with a track record of learning from testing and iteration in fast-paced environments.
• Experience using AWS services: Elastic Beanstalk, Amplify, Lambda, CloudFront, Kinesis, EventBridge and  experience developing Google Chrome Extensions
• Knowledge of any of the following GTM services: Salesforce, Contentful, Hightouch or any similar products.

Your role
As a Sr. Software Engineer on the Tel Core team, you are the steward of our media engine’s evolution. You will bridge the gap between high-level product goals and technical execution, ensuring our telephony stack remains resilient as we scale. You’ll mentor peers and shape the long-term roadmap while fostering a culture of engineering excellence. Your success is defined by the seamless, high-quality audio experience of millions of users.

This position reports to an Engineering Manager in the Telephony Core team and has the opportunity to be based in either Vancouver or Kitchener, Canada locations 

We don’t mind if you come from a different engineering background or haven’t worked in real-time media before. Just be excited to learn, to contribute to the team, and to build a fast, reliable, elegant product that delights our customers.

What you’ll do

• Maintain and modernize the real-time services that run on the Telephony Engines. Architect backend libraries and APIs to integrate with the broader Telephony Platform.
• Build and optimize low-latency media pipelines for voice and video—tuning codecs, RTP flows, and congestion-control behavior to deliver consistently clear conversations over unreliable networks.
• Investigate and resolve complex production issues across PSTN, WebRTC, and carrier boundaries using Telephony Engine logs, PCAPs, observability tools, and data-driven experimentation.
• Run load, failover, and regression tests on Telephony Engines and backend services to validate scalability, resilience, and capacity limits
• Partner with Tel Cloud, Tel Edge, Calling, and AI teams to design end-to-end call flows and integrations
• Participate in on-call and release rotations, owning Terraform- and GKE-backed rollouts, monitoring health, and driving follow-ups that continuously make the platform safer and easier to operate.
• Shape the Tel Core roadmap by turning broad epics into clear designs and mentoring other engineers.

Skills you’ll bring 

• Bachelor's degree in Computer Science or equivalent practical experience.
• 5+ years of software engineering experience, including owning substantial production backend systems in a SaaS or real‑time communications environment.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Deep expertise in C/C++ and Python.
• Experience with (or strong interest in learning) SIP, WebRTC, RTP/RTCP, DTLS/SRTP, and media codec negotiation in a production setting.
• Experience troubleshooting and improving real‑time media quality (e.g., jitter, packet loss, choppy audio, codec issues) is a strong plus.
• Comfortable working on KTLO (bugs, refactors, upgrades) as well as strategic roadmap items, and using data to prioritize impact.
• A deep understanding of reliability engineering, including the ability to build observability into services, eliminate performance bottlenecks, and manage the lifecycle of safe software releases.
• A strong sense of urgency, personal agency, and customer empathy.
• Passion for data driven decisions, building resilient systems, and solving classes of problems.

Our tech stack

• C, C++, Python, Go, Lua.
• Kubernetes, Redis, ElasticSearch, BigQuery.
• Google Cloud Platform: Cloud Run, GKE, Datastore, Pub/Sub.

About AlayaCare 

At AlayaCare, we’re more than just a fast-growing SaaS company, we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients.   

With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.

About the Role

We are seeking a Staff Data Developer to join our Data & Intelligence division. Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products.

As a senior member of the team, you’ll collaborate closely with data scientists, software engineers, and product managers to enhance the reliability and performance of our data systems, while influencing the enterprise-wide data architecture. You will also mentor junior engineers and drive best practices in data engineering.

What You’ll Do

• Design, develop, and maintain scalable, cost-effective, and reliable data pipelines for structured and unstructured data.
• Translate business needs into technical requirements and ensure alignment with product and customer success teams.
• Architect and implement data storage solutions (data lakes, warehouses, real-time processing systems) and supporting cloud infrastructure.
• Optimize pipelines for performance, scalability, cost-efficiency, and automation.
• Ensure data quality, integrity, and security across all systems.
• Evaluate and adopt new tools, technologies, and processes.
• Partner with DevOps and engineering teams for seamless deployment, monitoring, and troubleshooting.
• Document workflows and processes for knowledge sharing and maintainability.
• Stay current on industry trends in data engineering, ML, and cloud computing.
• Provide mentorship and technical leadership to junior engineers.

What You Bring to the Team

• 5+ years of hands-on experience with data software development.
• Experience with AlayaCare’s stack (Python, PHP, Vue.JS, AWS).
• Bachelor’s or advanced degree in computer science, mathematics, or related fields.
• Strong skills in DBT, SQL, Python, Snowflake, Iceberg, Spark, and AWS (ECS, S3, Aurora, RDS).
• Experience with streaming technologies such as Kafka, Kinesis, and Flink.
• Familiarity with Docker and Kubernetes.
• Expertise in dimensional data modeling and semantic layer design.
• Strong collaboration, communication, and problem-solving skills.
• Experience in Agile development methodologies.
• Mindset encouraging transparency, accountability, and trust.
• Experience in healthcare, home health, or medical devices is an asset.
• Familiarity with data governance concepts & tools is an asset.
• Bilingual in French and English is an asset.

Why Join AlayaCare?  

Work With Purpose  

At AlayaCare, you’ll help build technology that empowers care providers and improves outcomes for patients and families. Every line of code and every customer interaction contributes to making care more connected, accessible, and human.  

Grow in a High-Trust Culture  

We believe in transparency, feedback, and assuming positive intent. Here, you’ll feel safe to share your ideas and career goals, and be supported to achieve them through mentorship, career mobility, and a promote-from-within philosophy.  

Balance That Works for You  

We value flexibility and well-being. From “Wellness Fridays” to volunteer time off, to flexible vacation, we make sure you have the space to recharge, contribute to your community, and live your best life.  

Benefits That Matter  

• Equity in a well-funded, scaling company.  
• Comprehensive health benefits, telemedicine, and lifestyle spending accounts.  
• Parental leave top-up and family support programs.  

Inclusive by Design  

We celebrate diverse perspectives and foster belonging through our DEIB initiatives. Employee-led events, summits, and social activities, both in-person and virtual, create meaningful connections across our global teams.  

Location and Work Model

This role is based in Montreal. At AlayaCare, our hybrid model includes 2 set in-office collaboration days/week, and it is expected that team members are present in the office on those days to foster connection, innovation, and teamwork.  

Ready to Join Us?  

Apply today and be part of a company that makes a real difference in the future of home and community care. Not the right role for you? Share this posting with someone who might be a great fit.  

AlayaCare uses AI tools during our hiring process to support fair, consistent, and objective decision-making. Some initial screening steps may be automated to help identify qualified candidates. If your application is declined automatically, you may request a human review.  

We’re committed to creating a workplace where everyone belongs. If you require accommodation during the application process, please reach out to talentacquisitionteam@alayacare.com. 

Location: Toronto (Hybrid) | Practice Area: Wealth & Asset Management | Type: Permanent

Design and deliver data architectures that power the future of wealth and asset management.

The Role
As a Data Architect at Capco, you will play a key role in shaping and delivering data strategies and architectures for leading wealth and asset management clients. You will work closely with business and technology stakeholders to design scalable, secure, and high-performing data solutions that enable advanced analytics, regulatory compliance, and digital transformation.

What You’ll Do

• Design and implement enterprise-level data architectures aligned with business and technology strategies
• Lead data modeling, data governance, and data integration initiatives across complex environments
• Collaborate with stakeholders to define data requirements and translate them into scalable solutions
• Support cloud data platform implementations (e.g., AWS, Azure, GCP) and modern data frameworks
• Ensure compliance with data regulations, security standards, and best practices within financial services

What We’re Looking For

• Must have proven experience as a Data Architect within wealth and asset management or broader financial services
• Strong expertise in data modeling, data warehousing, and data integration patterns
• Experience working with cloud-based data platforms and modern data architectures
• Ability to engage with both technical and non-technical stakeholders effectively
• This role requires fully bilingual proficiency in French and English - written and verbal. French is required to support clients in Quebec, and English is used for collaboration across Capco’s global organization.

Bonus Points For

• Experience with regulatory data frameworks in wealth and asset management
• Knowledge of data governance tools and frameworks (e.g., Collibra, Alation)
• Familiarity with real-time data processing and streaming technologies
• Experience delivering data solutions in consulting environments
• Relevant certifications in cloud or data architecture

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
• Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution
• Virtual Health Care – Company-paid program available to all employees and their dependents/partners
• Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and their dependents/partners
• Parental Leave Top-Up – Enhanced parental leave benefits available from Day 1 of employment

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open
We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

About the team + role 

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

At Robinhood, Developer Productivity is the backbone that enables every engineer to deliver exceptional software; faster, safer, and at scale. We design and build the systems, platforms, and experiences that make software development seamless and reliable across the company.

We believe infrastructure should be invisible when working perfectly, intuitive, resilient, and empowering. Our mission is to eliminate friction, enhance feedback loops, and drive developer productivity through operational excellence, intelligent automation, and world-class tooling.

We’re looking for a Senior Staff Software Developer to lead the evolution of our developer experience and AI-powered engineering ecosystem. In this role, you’ll operate as a technical leader and architect across the organization, shaping strategy, defining standards, and driving large-scale initiatives that improve developer velocity, system reliability, and engineering quality.

You’ll work at the intersection of developer tooling, platform infrastructure, and AI-assisted development, pioneering how Robinhood engineers build, test, deploy, and operate software.

This role is based in our Toronto office(s), with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

Technical Leadership & Architecture

• Architect and build scalable systems that enable fast, reliable delivery of full-stack applications, with a strong focus on enhancing the overall developer experience
• Set technical direction and standards for developer infrastructure across build systems, CI/CD, testing, and local development
• Lead design reviews, operational readiness, and post-incident analysis for critical developer platforms
• Leveraging AI to power the next generation development workflow

Developer Experience & Productivity

• Identify and eliminate friction across the software development lifecycle
• Build and evolve developer tooling including CLIs, configuration systems, and local/remote development environments
• Drive improvements in build systems, test automation, and deployment workflows
• Champion best practices in code quality, observability, and operational excellence

AI Tooling & Intelligent Automation

• Lead adoption of AI-assisted development tools (e.g., Copilot, Claude) across engineering teams
• Design and implement agentic workflows for development and operations (e.g., automated code generation, incident triage, root cause analysis)
• Evaluate and integrate AI agents for anomaly detection, alert correlation, and automated remediation
• Establish best practices for safe, secure, and effective use of AI in software development

Cloud, Infrastructure & Platform Systems

• Design and operate services on AWS with strong attention to scalability, cost efficiency, and security
• Lead Kubernetes-based platform improvements, including developer workflows for containerized environments
• Drive Infrastructure as Code (Terraform) strategy and adoption across environments
• Build and optimize CI/CD pipelines (e.g., Harness, Jenkins, CircleCI) with a focus on reliability and speed

Reliability & Operations

• Own non-functional requirements including availability, scalability, latency, and security
• Ensure systems are observable through metrics, logs, and alerting
• Lead incident response, postmortems, and continuous improvement efforts
• Reduce operational toil through automation and platform improvements

Cross-Functional Leadership

• Partner with Product, Platform, and SRE teams to align on long-term technical strategy
• Lead large-scale, cross-functional initiatives spanning multiple engineering teams
• Mentor senior engineers and raise the technical bar across the organization
• Contribute to a strong engineering culture centered on ownership, quality, and continuous improvement

What you bring 

• 10+ years of software engineering experience, including 3+ years operating at Staff or Senior Staff level
• Deep expertise in developer infrastructure (CI/CD, build systems, testing frameworks, dev environments, observability)
• Strong backend engineering skills with proficiency in Go, Python, or TypeScript/JavaScript
• Proven track record of leading complex, cross-functional platform initiatives at scale
• Exceptional system design skills, with a focus on reliability, scalability, and performance

Infrastructure & Platform Experience

• Experience with cloud-native technologies (Kubernetes, Docker, service discovery, distributed systems)
• Strong understanding of CI/CD systems (e.g., CircleCI, Jenkins, Harness) and release orchestration
• Experience building internal developer platforms, CLIs (preferably in Go), and productivity tooling
• Familiarity with Infrastructure as Code (Terraform) and cloud platforms like GCP

AI & Emerging Tooling

• Experience leveraging AI-assisted development tools in production environments
• Interest or experience in applying AI to developer productivity, incident management, or automation
• Ability to evaluate and safely integrate AI systems into engineering workflows

Leadership & Influence

• Strong technical leadership with the ability to influence across teams and organizational boundaries
• Excellent communication skills, with experience driving alignment across engineering and product stakeholders
• Passion for developer experience and enabling other engineers to do their best work

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

About This Role

Caylent's Anthropic Enablement & Engineering (AE2) practice is a dedicated AI services team built in partnership with Anthropic. We were Anthropic's first pure-play delivery partner, and are working closely with them to define the next evolution of Software Development.

The Forward Deployed AI Strategist leads the work that defines what transformation looks like before a single Architect is deployed. You own blueprint engagements — comprehensive assessments of how an organization builds software across the full SDLC and PDLC, where AI can change the economics, and what a credible multi-phase roadmap looks like. You then lead the execution programs that follow, coordinating Agentic Architects across parallel workstreams and driving outcomes against the plan you set.

On engagements where scope and timeline call for it, you step in part-time as an Agentic Architect.

Your clients are PE portfolio companies, growth-stage software businesses, and enterprise engineering organizations where transformation decisions are made at the C-suite and board level.

What You'll Do

Transformation Strategy

• Lead AI transformation blueprint engagements: current-state assessment across SDLC and PDLC, gap analysis, and prioritized initiative roadmap
• Run executive discovery with CTOs, CPOs, and VP Engineering to surface strategic goals, constraints, and success criteria
• Assess AI adoption posture across engineering and product functions — tooling, workflows, org design, delivery practices
• Define initiative sequencing: what to address first, what to automate, where to standardize
• Develop board-ready transformation cases that connect AI investment to PE value creation metrics — revenue per head, time-to-feature, delivery predictability
• Facilitate executive alignment workshops that move stakeholders from awareness to decision

Execution Leadership

• Lead multi-team AI transformation programs following blueprint delivery
• Coordinate Agentic Architects across parallel workstreams; translate roadmap priorities into sprint-level milestones and delivery plans
• Own the executive-sponsor relationship through delivery close
• Step into Agentic Architect responsibilities on engagements where hands-on execution is required

Business Development

• Shape follow-on scope throughout blueprint delivery — by handoff you have a working hypothesis for the execution program
• Present the execution proposal at blueprint readout
• Surface expansion signals across the client organization and route them to the account team

Internal Contribution

• Codify transformation methodology: translate blueprint and execution patterns into reusable frameworks for the practice
• Mentor Agentic Architects on executive engagement, strategic framing, and scoping

What We're Looking For

Required

• Significant experience across 12+ years across software development, technical consulting, or a combination, with demonstrable knowledge / experience on both SDLC and PDLC sides of a software organization
• Proven success 5+ years leading transformation, strategy, or technical advisory engagements with engineering and product organizations
• Hands-on experience with Claude Code or equivalent AI-assisted development tools in a real workflow
• Experience building and presenting technology transformation roadmaps to C-level and board audiences
• Strong working knowledge of modern SDLC (CI/CD, DevOps, cloud-native) and product development (agile delivery, roadmapping, product operations)
• Experience sizing and sequencing multi-team, multi-quarter transformation programs
• Prior professional services delivery experience with scope ownership and deliverable accountability

Preferred

• Certified Claude Architect
• Background in PE or growth-equity-backed software companies — understand value creation timelines and board expectations
• Experience leading programs that span engineering and product simultaneously
• Familiarity with developer experience and delivery metrics frameworks (DORA, DevEx, SPACE)
• Experience designing AI governance and adoption guardrails for enterprise organizations
• Direct experience building or operating agentic AI systems in production

Who Thrives Here

• Thinks in roadmaps, not tasks. You see where an organization needs to be 12 months from now and can build a credible path to get there. Strategy that isn't accountable to outcomes is not strategy.
• Can still do the work. You use Claude for all of your work. You'll step into Agentic Architect engagements when the situation calls for it. Seniority here means broader scope, not distance from delivery.
• Credible at the board level. You've presented transformation cases to PE sponsors and C-suites and know how to connect technical decisions to business value without hand-waving.
• Makes the methodology better. Every blueprint you run should make the next one faster. You feed patterns back into the practice rather than keeping them in your head.
• Multiplies Architects. You can set direction, coordinate execution, and step back. You know what effective oversight looks like versus micromanagement.

This is a poor fit for purely advisory profiles. You own outcomes, not just recommendations.

Why This Team

• Ground floor of something real: this BU is early, well-resourced, and anchored to Anthropic. You're writing the playbook, not inheriting one
• Define the methodology: you are shaping how AI transformation gets scoped and delivered at scale. The frameworks you build here will drive how this practice grows
• Proximity to the PE channel: your clients are PE portcos and enterprise engineering orgs at the frontier of AI adoption where transformation decisions are being made now
• Revenue upside: Strategists who drive account expansion earn on revenue generated, not just delivery margin
• AI-native by default: this team uses AI in how it works. Specification-First Engineering is how we move from prototype to production fast
• Outcomes, not hours: advancement tied to delivery performance and account growth, not utilization

Overview:

We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship.

We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier.  You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up.  You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams.  If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.

What you will do:

• Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on.
• Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams.
• Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release.
• Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring.
• Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks.
• Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality.
• Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve.
• Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization.
• Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement.

What we are looking for:

Required:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus.
• Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership
• Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms.
• AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection)
• Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you
• Travel is required: Yes – Approximately 10%

AI Skills/Knowledge:

• Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis.
• Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards.
• Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows.
• Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices.

Preferred Skills:

• Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization.
• Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets).
• Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations.
• Exposure to security testing practices, compliance frameworks, or regulated industry quality standards.
• Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level.
• Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.

#LI-SR1

About The Role

The Inference Core Platform group is at the heart of Cerebras' mission to deliver the world’s fastest AI inference. Our team builds the foundational software and hardware infrastructure that powers low-latency, high-speed, high-throughput deployment on the Cerebras Wafer-Scale Engine (WSE). We are responsible for the full stack—from model compilation and scheduling down to custom hardware kernels and driver development.

The ML Performance Benchmarking team plays a pivotal role in shaping the performance and scalability of AI inference on one of the most advanced computing systems ever built. We drive the bring-up of core inference capabilities and deliver performance improvements at every stage of development – from early prototyping to production deployment.

We're looking for passionate engineers to join us in redefining the limits of AI inference. If you thrive on building systems that measure, analyze, and optimize performance at scale, this is your opportunity to make a transformative impact on the future of AI.

Scope of the team includes:

• Core Inference Observability – Design and implement end-to-end telemetry systems across the software stack, providing deep visibility into inference performance and enabling rapid iteration before and after deployment.
• Benchmarking Infrastructure – Architect, build, and scale the automation that generates, analyzes, and visualizes performance data used to inform business decisions across engineering and leadership.
• Performance Analysis – Dive deep into system behavior, dissect performance bottlenecks, and deliver actionable insights that directly influence which features ship and how they evolve.
• Feature Integration – Partner closely with Core Platform teams to define rigorous testing methodologies that validate inference features for peak performance.

Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Systems Engineering, or a related field.
• Proficiency in Python and/or C++ programming.
• Proven experience in building and scaling automated infrastructure.
• Strong background in throughput and performance optimization techniques, especially in complex, large-scale systems.
• Excellent problem-solving skills and a strong analytical mindset.
• Demonstrated ability to dive deep into new domains.
• Ability to work in a fast-paced, ambiguous, and collaborative environment.

Preferred Skills & Qualifications

• Familiarity with problem-solving at the intersection of hardware and software.
• Hands-on experience with AI workloads and architectures is a plus.

Location

• On-site or hybrid at our Toronto office

#LI-WA1

What do we need

We are seeking a Scientific Technical Solutions Lead to join the team developing scientific Solutions built on Dotmatics LUMA, a next-generation, multi-tenant, AI-powered data management and workflow automation for multimodal scientific discovery. As a Scientific technical lead on the team, you will work closely with other Solution Architects, product management, engineering teams, and external stakeholders to deliver exceptional product capabilities via Luma Solutions.

Your focus will be on designing and implementing the configuration necessary to realise product vision and on ensuring that this configuration follows best practices within the Life Sciences and Chemical & Material space.

This role offers the opportunity to shape a foundational part of the modern lab—helping scientists work faster, smarter, and with greater impact.

In this role you will get to:

• Design configuration: Collaborate with Product to determine application structure, define entity/data models, specify task workflows (Scientific Workflows) , and define desired data visualization experiences
• Develop configuration: Create registration entities, data flows, task templates, data visualization experiences, and other configurations in support of developing Luma Solutions that will be delivered as part of the product
• Test and troubleshoot configuration: Perform in-team testing of configuration and assist is handing test cases to the QA group for release testing. Troubleshoot configuration to understand why it is not producing desired results.
• Contribute to documentation: Write draft documentation of configuration and workflows and collaborate with the Documentation team to develop final customer-facing documentation
• Train internal and external users: Train members of other Dotmatics teams and early customers on how to use Luma Solutions configuration and the workflows it supports
• Provide input into new product features: Use new product features in Luma Solutions and provide feedback on the experience, participate in user experience testing, and provide input to the Product team about features that will enable the best Solutions
• Champion quality and best practices: Actively participate in the development of best practices for Luma configuration, and ensure these best practices are followed in the development of Luma Solutions

We are looking for people who have 10+ years of hands-on experience building and delivering informatics solutions for Life Sciences customers. The ideal candidate holds a Bachelor's or advanced degree in Life Sciences, Data Science, Chemistry, Biology, Bioinformatics, or a related technical discipline — and brings a genuine passion for quality and continuous improvement, fueled by a drive to solve problems that truly matter.

The key skills we are looking for: 

• Life Science Industry experience, either as a Scientific Solution Architect, technical application Scientist or a Scientist who has been heavily involved with designing products or technical applications
• Advanced expertise in data modeling, with a proven ability to design robust, scalable data structures
• Expert-level proficiency in configuring low-code platforms and designing end-to-end workflows
• Demonstrated success delivering scientific data platforms or tools spanning data modeling, ETL, APIs, and BI/reporting
• Expert-level SQL skills, with strong working knowledge of Python and JSON
• Deep experience integrating tools and modules to architect complete, cohesive solutions
• Strong analytical ability to translate product requirements into precise technical configuration designs
• Excellent communication skills — able to distill complex technical concepts for both technical and non-technical audiences at all levels
• Experience running and/or supporting scientific workflows in a production or research environment

You may also have 

• Experience running scientific test cases
• Understanding of software testing and or SDLC
• Working knowledge of Databricks
• Drug Discovery or Biotechnology industries or Other scientific Industries

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

The Solutions Consultant will provide high-quality demonstrations of the product to prospective customers by working with sales staff and clients to understand the customer’s business and workflows. They will also be responsible for maintaining content used by both sales staff and clients. The Solutions Consultant will mentor sales staff on product knowledge and be the go-to resource for all technical requests during the pre-sales phase. They will also work with the sales staff to collect customer feedback.

What you’ll do:

• Provide the necessary tools and processes to accelerate deals, execute contracts, and improve sales team efficacy.
• Connect with a variety of customers to help drive sales across all verticals including manufacturing, facilities management, government, and other maintenance and operational businesses.
• Team with sales to present MaintainX to prospective clients, using examples appropriate to their business and communication needs.
• Import real customer data into trial accounts so the customer can interact with their own assets and engage with the platform in the most compelling way.
• Be the go-to product expert who can accurately respond to technical product questions from across the sales teams.
• Stay informed on product updates (3x/week on average) and incorporate the latest functionality into demos, as needed.
• Build trust with customer stakeholders based on product and functional expertise.
• Learn to anticipate customer needs. Utilize your intuitive consulting and selling skills to engage with customer pain points and present possible Sales with MaintainX.
• Collaborate with a Sales Architect to develop customer-specific integrations, between MaintainX and 3rd party software, as needed.
• As a member of a cross-departmental sales team, work with marketing, product management, engineering, implementation, and customer support to find solutions for prospective customers.
• Develop and launch new sales assets and collateral.
• Keep existing sales assets and collateral up-to-date.
• Mentor sales staff by reinforcing product knowledge and messaging/positioning from our product marketing managers, during collaborations.
• Collect marketing and product feedback from day-to-day customer interactions, and provide feedback to the product marketing team.

About you:

• 3+ years of related experience, such as technical sales, implementation, solutions building, or sales/solutions engineering.
• Background in manufacturing, industrial operations, or warehouse environments, preferably with direct exposure to operational workflows.
• Comfortable multi-tasking and keeping the energy high.
• Outstanding verbal and written communication ability.
• Interpersonal and listening skills.
• Insanely detail-oriented and organized.
• Effective problem-solving capabilities.
• Ability to adjust communication style based on customers’ personalities and based on stakeholders’ objectives.
• Ability to present effectively and command attention with a variety of stakeholder perspectives.
• Personality traits: empathic, positive, passionate, creative, smart, high integrity, startup mentality.
• BA degree or higher.

Bonus if you have:

• Prior consulting and/or sales experience.
• Experience with modern sales tech stacks: Salesforce, Salesloft, DiscoverOrg, etc.
• Experience with startups and entrepreneurial organizations.
• Experience working with ERP, CMMS or facility operations software.
• Experience working in a manufacturing facility.
• Ability to perform in a remote work setting.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We are seeking a Senior Machine Learning Engineer to join the Growth Tech Alliance. In this role, you will architect and deploy the robust infrastructure behind our intelligent marketing systems. You will be responsible for maturing algorithmic prototypes into high-performance production systems, ensuring our AI-driven marketing optimization is served reliably and autonomously at a global scale.

S'more about the team

We are hiring a Senior Machine Learning Engineer to take our AI tooling to the next level by architecting and deploying the robust infrastructure behind our intelligent marketing optimization systems. You will provide critical engineering execution for our AI initiatives. You will develop scalable microservices for predictive scoring, orchestrate complex LLM-based agents for creative intelligence. As the ML engineering expert for the team, you will drive the maturation of algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented scale.

Lettuce share what this role will be responsible for

As a core member of the engineering team, you will focus on productionizing ML infrastructure across several domains:

• Build robust integration layers for visual AI pipelines that process multi-modal embeddings that power various predictive models.
• Transition proof-of-concept models into resilient production microservices and architect LLM-based orchestration frameworks.
• Engineer high-throughput, low-latency data pipelines to process 1P data and pipeline signals into external platforms like Meta and Google.
• Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency.
• Establish CI/CD processes, feature stores, and drift detection to ensure continuous delivery and model reliability.
• All other duties, as assigned

Sound a-peeling? Here's what we're looking for

• Experience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring.
• Expertise in leveraging hyperscaler ecosystems (AWS, GCP, Azure) to build cost-effective, resilient, and automated ML infrastructure.
• Deep technical proficiency with modern ML frameworks (PyTorch, TensorFlow, HuggingFace)
• Expert programming skills in Python and PySpark.
• A BS/MS in Computer Science or a related engineering field, coupled with a proven track record of bringing ML systems from prototype to high-traffic production.
• Proven experience engineering robust data architectures that reliably process and combine diverse data formats, ranging from structured offline conversion data to unstructured multimedia assets.
• A demonstrated bias for action and extreme ownership, eager to adopt Gen AI tools to creatively solve architectural challenges and enhance engineering velocity.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

#Engineering

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

About the role

We are looking for a business-oriented leader to architect and own the financial operating model for our entire cloud infrastructure. This isn't a reporting role; you are the single-threaded owner responsible for optimizing one of the company's largest technology investments. Your mission is to transform our cloud spend from a complex cost center into a predictable, efficient engine for innovation. You will report to senior leadership and be empowered to support the negotiation of multi-million dollar contracts, drive cultural change across engineering, and provide the financial clarity required for strategic business decisions.

What You'll Do

• Cultural Change: Act as the evangelist for Cloud FinOps. Champion a culture of cost ownership across our engineering organization by empowering teams with the dashboards, insights, and training needed to make cost an integral part of their design and operating principles.
• Governance & Visibility: Architect a system of governance and accountability. Design and implement a universal resource tagging strategy, moving beyond simple reporting to create robust showback/chargeback models that give engineering teams true ownership of their spend.
• Optimization & Efficiency: Drive a company-wide optimization program. Go beyond "low-hanging fruit" to create a continuous optimization program, partnering with engineering to refactor applications for cost, adopt new pricing models, and eliminate systemic waste.
• Commercial Strategy & Negotiation: Develop and execute the strategy to lead negotiations with our cloud vendors, right-sizing our commitments to align with our business strategy and eliminating financial risk.
• Forecasting & Budgeting: Build and operate our data-driven forecasting model. Partner directly with the Tech and Finance organizations to eliminate spending volatility and provide the business with a reliable cloud budget and accurate forecast.

What You'll Bring

You are a seasoned leader who operates at the intersection of technology and finance. You are just as comfortable debating architectural trade-offs with a principal engineer as you are presenting a business case to a CFO. You are a strong team player who loves to share knowledge, enable others, and provide and receive feedback.

• Proven Experience: A track record of 7+ years in dedicated Cloud FinOps or Cloud Financial Management roles, with clear success in managing significant AWS spend.
• Mastery of Cloud Economics: Deep expertise in AWS cost structures, including the nuances of Savings Plans, Reserved Instances, Spot, and the Cost and Usage Report (CUR).
• Data-Driven Strategist: Exceptional analytical and financial modeling skills. You don't just create dashboards; you build data-driven business cases to influence executive-level decisions.
• Technical Credibility & Influence: You have hands-on experience and a proven ability to partner with engineering teams to optimize application architecture for cost. You can engage and communicate complex ideas effectively to both technical and non-technical stakeholders.
• Proven Negotiator: Demonstrable, material experience leading or participating in large-scale commercial negotiations with a major cloud vendor.
• Builder's Mentality: You have a proven track record of designing and building a Cloud FinOps practice from an early stage, creating process and strategy where none existed before. Proficiency with scripting (e.g., Python/Bash) and experience with third-party tools (e.g., Vantage, CloudHealth) are strong pluses.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

#LI-HYBRID

As a Staff Software Engineer, you will serve as a technical leader and architect for our backend systems. You will be responsible for defining the technical vision of our platform, mentoring senior engineers, and solving complex challenges related to scalability and reliability. Your role is to be a force multiplier, ensuring that our engineering practices and architectures enable teams to deliver high-quality software at a global scale.

What You’ll Do

• Technical Strategy: Define and drive the long-term technical roadmap for Golang-based backend services, ensuring alignment with broader business objectives and platform initiatives.

• Architectural Leadership: Lead the design and evolution of Postgres-backed distributed systems, prioritizing high performance, multi-region reliability, and complex data workflows (CDC).

• Complexity Reduction: Identify systemic redundancies across teams; lead efforts to consolidate tools and services to simplify the developer experience and reduce organizational complexity.

• Operational Excellence: Set the standard for observability and operational health. You will influence the strategy for platform availability and lead initiatives to improve system resilience.

• Cross-Functional Influence: Partner with Product, Infrastructure, and Security leadership to negotiate technical trade-offs and ensure the platform scales efficiently.

• Sponsorship & Mentorship: Actively sponsor the growth of Senior and Mid-level engineers through deep technical guidance, rigorous code reviews, and career-shaping feedback.

• Culture of Excellence: Champion best practices in software design, CI/CD, and automation, fostering a culture of technical rigor and continuous improvement.
  
  

What You’ll Bring

• Professional Depth: 8+ years of software engineering experience, with a track record of leading large-scale initiatives from architectural design to production.

• Golang Mastery: Expert proficiency in Golang and a deep understanding of distributed systems design, concurrency patterns, and performance optimization.

• Data Architecture: Significant experience with Postgres, including advanced schema design, query optimization at scale, and managing high-volume data pipelines.

• Systemic Thinking: Proven ability to design resilient, high-availability services that operate under heavy global load.

• Influence Without Authority: Exceptional ability to drive consensus across multiple engineering teams and influence technical direction through collaboration.

• Communication: Excellence in distilling complex technical concepts into clear, actionable strategies for both technical and non-technical stakeholders.

• Proactive Problem Solving: A history of identifying and resolving ambiguous, high-impact technical debt and architectural bottlenecks.
  
  

Preferred Qualifications

• Distributed Systems: Experience with modern microservices communication patterns and service-oriented architectures.

• Polyglot Awareness: Exposure to other languages such as TypeScript, JavaScript, or Node.js in a service-oriented environment.

• Cloud Infrastructure: Familiarity with container orchestration (e.g., Kubernetes) and deploying/operating services within major cloud providers (AWS or Azure).

• Infrastructure as Code: Experience or familiarity with automating infrastructure deployment and management.
  
  #LI-Hybrid
  P24756_3384767

The Auth0 platform secures more than 100 million logins each day for customers all around the world - and we're growing fast! The Platform Runtime team enables Auth0 engineers to move faster by giving them the foundational infrastructure to deploy and manage their services on AWS and Azure. This is a role with a huge impact. You will get to work with engineers throughout the organization and what you build will be a foundational piece of the infrastructure that allows Auth0 to scale for years to come.

We are looking for a Senior Engineer who is passionate about distributed systems, availability, and delivering customer value. Because we build and support the overall Auth0 platform, the ideal candidate is someone who is passionate about low level infrastructure, operations, and not intimidated by cross-organization coordination and collaboration.

You will:

• Serve as the ultimate technical authority and final escalation point for advanced Kubernetes cluster troubleshooting, ensuring the continuous stability and resilience of our foundational infrastructure.
• Define and enforce organization-wide standards and architectural guidelines for Terraform. You will maintain core provider functionality and oversee critical security protocols, including automated credential rotation machinery.
• Develop and maintain application deployment standards, managing Kustomize and built-ins to standardize and streamline deployments across all product teams.
• Orchestrate complex GitOps workflows leveraging ArgoCD and Argo Workflows. You will take full ownership of Environment Lifecycle Management, handling everything from environment creation, synchronization, and user onboarding to failover procedures and safe deletion.
• Architect the Testing Automation Framework to support dynamic environment provisioning and destruction. This will enable advanced quality assurance practices, such as chaos testing, while empowering teams to manage their own test workflows.
• Oversee the Control Plane infrastructure, guaranteeing operational stability and managing essential platform services, including HashiCorp Vault and our fleet of self-hosted GitHub Action Runners.
• Lead the intra-space network architecture, driving the implementation, management, and scaling of our Service Mesh to ensure secure and efficient service-to-service communication.
• Participate in the team's on-call rotation.

You might be a good fit if you:

• Have 5+ years of software development experience, specifically working with infrastructure or platform.
• Are proficient in Golang.
• Have a deep understanding of Kubernetes and containerization.
• Have DevOps experience using cloud-agnostic, cloud-native technologies.
• Demonstrable knowledge of TCP/IP and HTTP fundamentals.
• Have demonstrable expertise managing cloud resources (AWS/Azure) via code, specifically for automated provisioning.
• Have experience managing infrastructure with Terraform at scale.
• Bring a Tier-1 Service mindset: you write code that handles edge cases, network partitions, and partial failures gracefully.
• Tend to deliver work incrementally to get feedback and iterate over solutions.
• Have a passion for working on systems that are highly reliable, maintainable, scalable and secure.
• Bring the right attitude to the team: ownership, accountability, and attention to detail.
• Are comfortable working on a fully-distributed team.
• Have a relentless passion for ownership, accountability, and diving into complexity to deliver highly reliable and performant systems.

Extra Points:

• Significant experience with PostgreSQL for managing complex, relational entity state.
• Experience building custom Kubernetes controllers or extending Terraform providers.
• Familiarity with gRPC for high-performance internal service communication.

#LI-Hybrid

P24752

The PAM Team

Ever wonder how large organizations make sure the right people can access their most critical systems? That's the problem the Okta Privileged Access Management (PAM)  team solves.

Our solution controls who can reach sensitive servers, databases and cloud resources and grants access only when it's needed. It is the security layer between people (and non-human-identities) and the systems they need to do their jobs.

The Staff Backend Engineer Opportunity

We are seeking a world-class Staff Engineer to help us architect and build the high-performance core of our non-human identity platform.

Your work, in close collaboration with our principal engineers and architects, will be the foundation of our strategy for managing privileged access in the modern enterprise. If you are a systems programmer who thrives on influencing the design of high-performance, concurrent, and resilient security software, this is the role for you.

What you’ll be doing 

• Contribute to Core Architecture: Partner with principal engineers and architects to design and implement a low-latency, high-throughput secrets engine for non-human identities
• Solve for Massive Scale: Write highly concurrent, performance-critical code capable of handling millions of machine-to-machine authentication and authorization requests
• Shape Technical Strategy: Play a key role in defining the long-term technical roadmap for scalability and performance, ensuring our platform can meet the demands of the largest enterprises
• Mentor and Elevate: As a senior engineer on the team, you will work with junior engineers to help them advance their SDLC expertise.
• On-Call: Participate in the rotational on-call activities with SRE and product development team

What you’ll bring to the role

• Required Experience:
  • 8+ years of professional software engineering experience, with a heavy focus on backend or systems-level development
  • Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience
• Core Technical Expertise:
  • Deep, hands-on expertise in multi-platform Go development and building high-performance, concurrent applications
  • Experience designing or operating distributed systems
  • Experience with secure systems (authn/authz, encryption, TLS, token handling, PKI, CAs, diagnosing TLS issues)
  • Deep expertise in distributed storage systems, with a focus on replication, backup, and restore, and data management. (Postgres, etc.)
  • Direct experience designing, building, or contributing to a secrets management, service mesh, or machine identity platform
  • Expert-level at ergonomic API design (gRPC/openAPI), and building for reliability at scale
  • Deep knowledge of cloud-native infrastructure

And extra credit if you have experience in any of the following! 

• Experience at a leading Cybersecurity or Infrastructure-as-Code company
• Contributions to open-source projects in the identity, security, or infrastructure space

(P24956_3414025)

#LI-Hybrid 

#BB-1

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

As a Principal Architect for EPM, you will be a senior member of the technical team that sets the vision and overall design of our software solutions. You will partner closely with product engineering, platform teams, and stakeholders across the Office of the CTO to shape the next generation of our EPM platform. This role sits at the intersection of large-scale cloud architecture, big data systems, and product engineering. You will define architectural direction, drive key technical decisions, and ensure our platform continues to scale securely and efficiently as our customer base and data volumes grow.

What You’ll Do

• Set the technical vision and architectural direction for the EPM platform
• Partner with product engineering teams to design scalable, resilient, cloud-native services
• Drive technical decisions across scalability, resilience, security, and cost optimization
• Document and communicate architectural decisions, trade-offs, and roadmaps to engineering teams, leadership, and cross-functional stakeholders
• Provide input on technology selection and help drive best practices for cloud-native development, observability, and operational excellence
• Help define overall architectural principles, frameworks, and standards that other product teams can adopt
• Contribute to the architecture strategy as it aligns to the EPM and broader platform product roadmap
• Mentor senior engineers and architects, raising the technical bar across the organization

What You’ll Bring

• 10+ years of experience delivering and supporting enterprise-ready cloud-based systems, with at least 3+ years in a Principal, Staff, or Architect-level role
• Deep expertise with at least one major public cloud (AWS, Azure, or GCP) and working familiarity with others
• Hands-on experience architecting big data and analytics platforms, including ingestion, schema design, partitioning, and query performance tuning across technologies such as Elastic, ClickHouse, Databricks, or similar
• Microservices and cloud-native design patterns, including containerization and orchestration (Docker, Kubernetes)
• Solid understanding of modern design patterns and practices such as Infrastructure as Code (Terraform) and CI/CD
• Competency in a core programming language
• Demonstrated experience leading architecture for SaaS platforms at meaningful scale
• Experience with the full lifecycle of development and product release in an agile environment
• You can move fluently between architectural diagrams and a code review
• Strong ability to communicate well with all aspects of the business, from individual engineers to executive stakeholders

Nice To Have

• Event streaming platforms (Kafka) and stream processing (Flink, Spark Streaming)
• Service mesh technologies (Istio) and continuous delivery tooling (ArgoCD)
• Experience designing security and compliance in regulated environments (SOC 2, FedRAMP, ISO 27001)
• Prior experience in privileged access, endpoint security, or the broader cybersecurity domain

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DF1

ABOUT THE ROLE

We are seeking a highly skilled and intellectually curious analyst to shape the future of financial data at Instacart, driving innovation at the intersection of systems, analytics, and business strategy.

In this role, you will architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale. 

You’ll collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant, while also advancing large-scale systems initiatives, accelerating the month-end close, and optimizing cloud spend in our AWS environment.

ABOUT THE TEAM

The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for compliance and a catalyst for strategic decision-making. We combine technical depth with financial expertise to build scalable, high-value data solutions—transforming complexity into clarity and empowering leaders to act with confidence.

KEY RESPONSIBILITIES

• Bridge Data & Business Needs – Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
• Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
• Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
• Support Revenue Accounting – Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
• Ensure Compliance & Governance – Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.
• Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
• Drive Continuous Improvement – Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting.
• Leverage AI & Next-Generation Analytics – Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered—accelerating insights, scaling workflows, and shaping the future of financial analytics.

ABOUT YOU

Minimum Qualifications

• Bachelor’s degree in a related field
• 5+ years (7+ preferred) of experience in data analytics or analytics engineering roles
• Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.)
• Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
• Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive)
• Strong communication skills with the ability to engage effectively across technical and non-technical teams

Preferred Qualifications

• Public company experience with exposure to SOX compliance
• Background in high-growth technology environments
• Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
• Project management experience a plus
• Demonstrated ability to support Finance and Accounting teams with scalable data solutions
• Cloud cost management experience, ideally in an AWS environment
• Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks)

#LI-Remote

About the Role:

We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto.  As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. 

The Data Platform position is a software development role with knowledge of data architectures and data delivery. The ideal candidate is passionate about developing software, working with data, and

Here’s what you’ll do day-to-day:

• Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
• Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
• Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
• Work as part of a team. We value team players who share their knowledge and like collaborating with others.

Here’s what we're looking for:

• • At least 7 years of software engineering experience.
  • Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR).
  • Experience with OLAP databases (Clickhouse)
  • Experience building data pipelines at scale, Airflow and Python preferred.
  • Experience with streaming systems desired (Kafka, Kinesis, or similar).
  • Ability to turn vague requirements into clear deliverables with minimal guidance.
  • Experience building and maintaining a modern data stack in production.

Our cash compensation amount for this role is targeted at $163,000-$204,000/year in Denver, $178,000-$223,000/year in Los Angeles, and $197,000-$247,000/year for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Job Description 

The Mission: Architecting the Next Chapter of ShareGate

ShareGate is a household name in the Microsoft ecosystem. For 15 years, we’ve been the "gold standard" for migration. Now, we’re doing something even more ambitious: evolving from a single-product tool into a comprehensive platform (Protect, Backup, and beyond) for the IT buyer. As the Director of Account Management, you aren't just overseeing a department; you are the lead architect of our retention and expansion engine. 

The Mandate: Humans + AI

Reporting to the CRO, you will lead the strategy for a customer base that already loves us. Currently, our motion is 100% human-driven. Your mandate is to identify where we can leverage AI automation to augment our people—removing the "robotic" work from our managers so they can focus on high-value human relationships. 

• Lead the Leaders: Manage a team of two managers who oversee our Account Management and Renewal squads. Coach them to move from order-takers to growth owners. 
• Modernise the Motion: Build the first version of our AI-augmented expansion playbook. You'll identify opportunities to use AI for customer health monitoring, automated renewal touches, and predictive cross-sell signals. 
• Design the Multi-Product Playbook: Define how we cross-sell new products (Protect and Backup) into an established base of thousands of IT pros. 
• Operationalize Excellence: From enterprise account planning to automated SMB motions, you will build the scalable structures that make $100M+ ARR look easy. 
• Cross-Functional Collaboration: Partner with Product and RevOps to ensure the feedback loop is tight, reducing churn and identifying new "wallet share" opportunities.

The Challenge: Renewal + Expansion

The "Migrate" motion is well-versed and successful. The "Protect" and "Backup" motion is the new frontier. The primary challenge is shifting the team from "handling a renewal" to "expanding a partnership" while simultaneously transitioning from a purely manual workflow to one powered by AI and automation. You’ll help us figure out how to get more out of our business and our people by embracing the next wave of tech.

Qualifications

• The SaaS Veteran: 10+ years in B2B SaaS, ideally supporting the IT/Technical persona. 
• The Leader of Leaders: 3+ years experience managing managers. You know how to scale yourself through others. 
• The AI-Forward Thinker: You aren't afraid of automation. You have a vision for how AI can make a GTM team more efficient and effective, and you’ve ideally experimented with AI tools in a professional setting. 
• The Scale Specialist: You’ve operated in (or helped build) a $100M+ ARR environment. 
• Direct & Execution-Oriented: You don't just "set direction"—you stay close to the business to ensure the discipline is there to win. 

Why Workleap?

We believe in working better. That applies to our products and our people. You’ll join a GTM leadership team that is collaborative, high-performing, and focused on building a generational Canadian tech company. 

About the Role

The Solutions Architect advises customers, partners and channel partners how to build and implement strategic solutions on a complex scale. Additionally, the Solutions Architect acts as a conduit between the field systems engineer team and Veeam cross-functional product groups.  This senior technical role is heavily involved in application virtualization, storage, and multi-cloud infrastructures. The position has a focus on designing availability solutions, including data protection and monitoring using Veeam products. The Solutions Architect also serves as an escalation point for partner solutions as well as the Pre-Sales Organization.

What You’ll Do

• Engage with sales teams in supporting sales opportunities from pre-sales through post-sales relationships
• Provide architectural designs and engage in large scale proof of concepts, technical alliance validations, and post-sales deployments supporting Veeam service delivery partners
• Provide subject matter expertise in the Veeam product suites to customers, partners, and internal Veeam teams
• Develop whitepapers, best practice guides, competitive analysis documentation, and compete strategies as required to support deployment engagements and sales opportunities
• Be an active contributor in the Veeam Community Forums
• Attend marketing and technical presentations representing Veeam at a subject matter expert level

What You’ll Bring

• Deep experience with hypervisor technologies from multiple vendors including Vmware, Microsoft and RedHat.
• Hands on experience of large and complex datacenter infrastructure operations
• Experience and understanding of the top three Hyperscalers (AWS, Azure and Google Cloud)
• Experience with relational database software.
• Experience with programming/scripting language for automation
• Excellent written and verbal communication skills
• Be comfortable presenting to groups, both on the phone and in person
• Be available to travel within the assigned region as directed
• Be a self-starter with the ability to learn new technologies quickly
• Possess project management skills
• Demonstrated expert capabilities in focused solutions
• Demonstrated logical mindset and problem solving skills

#LI-Remote

#LI-JW1

Overview: 

Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. 

This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. 

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do 

• Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. 

• Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS). 

• Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction. 

• Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants. 

• Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring. 

• Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs. 

• Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards. 

• Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings. 

 What You'll Bring 

• Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems. 

• Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments. 

• Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm). 

• Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required. 

• AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift. 

• Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark). 

• Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications. 

• Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers. 

What We Offer:  

The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits: 

• Paid Time Off 

• Comprehensive benefits plan 
• Company RRSP Match 
• Development opportunities through the LinkedIn Learning platform 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-SP1

#LI-Hybrid

The Role

We’re looking for a Senior Full-Stack Software Engineer with deep expertise in Next.js, TypeScript, PostgreSQL/Supabase, and AI-assisted development to design, build, and deliver the scalable, secure systems behind our cybersecurity platform.

This is a hands-on, product-focused role for an engineer who:

• Thrives at the intersection of secure software engineering, data-heavy systems, and product innovation
• Is fluent in AI tooling (Cursor, Devin, Copilot, etc.) and knows how to turn them into real velocity — not toys
• Can design full-stack solutions, think strategically about risk and performance, and help us move business logic closer to the data layer (Postgres + Supabase)

What You’ll Do

• Full-Stack Development: Build and maintain secure, scalable web applications using Next.js/React, TypeScript, and Node – backed by PostgreSQL on Supabase (and AWS RDS during migration). Own features end-to-end from UI to database.
• Database-Centric Application Logic: Design and implement business logic close to the data using Postgres functions, views, triggers, Row-Level Security (RLS), and Supabase Edge Functions, minimizing unnecessary middleware and enabling high performance and strong data isolation.
• AI-Accelerated Development: Treat tools like Cursor, Devin, GitHub Copilot, and agent frameworks as core parts of your workflow. You'll use them to scaffold and refactor full-stack features, generate and evolve schemas, migrations, and RLS policies and build internal agents that automate repetitive engineering tasks and glue systems together
• Application Security First: Embed security best practices into every layer of development — from secure coding and dependency management to data protection and authentication/authorization (Supabase Auth, OAuth2/OIDC, SSO). Collaborate with security researchers to ensure features align with threat models.
• Product Collaboration: Work hand-in-hand with product managers and designers to translate customer pain points into impactful, intuitive features. Participate in product discovery and help shape roadmaps with a strong technical and data-informed perspective.
• Architect & Scale: Design and optimize API contracts, edge endpoints, and event flows using Next.js (server components, API routes) and Supabase (Edge Functions, real-time). Consider performance, resiliency, and multi-region deployment (read replicas, data partitioning) as first-class concerns.
• Data Expertise: Model and optimize relational data in PostgreSQL for large, multi-tenant workloads. Own indexing strategies, query performance, and data partitioning approaches to support 10x–30x growth in customers and data.
• Security-Integrated DevOps: Support automated testing, CI/CD pipelines, database migrations, and vulnerability scanning throughout the development lifecycle. Work closely with infrastructure engineers on Supabase + AWS environments, observability, and performance tuning.
• Mentorship & Collaboration: Provide guidance and thoughtful code reviews to peers, fostering a culture of quality, security, and ownership. Help raise the bar on full-stack, data-centric, and AI-native engineering practices.
• Continuous Learning: Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js, and modern Postgres/Supabase practices, and share what you learn with the team.

What We’re Looking for

• Senior Full-Stack Engineer with experience building and shipping production web apps using Next.js/React, TypeScript, PostgreSQL, and a Node-based backend
• AI-native developer who regularly uses AI-assisted dev tools (e.g., Cursor, Copilot, Devin) to move faster, improve code quality, and explore design options, and knows when to verify output
• Strong backend and data modeling skills in Postgres; experience with Supabase (Auth, RLS, Edge Functions, migrations) or similar Postgres-based platforms is a plus
• Security-conscious engineer with a solid understanding of secure web application development, authentication/authorization, and modern security best practices; familiarity with software supply chain security or interest in learning quickly
• Experience deploying and operating applications in the cloud (ideally AWS), with working knowledge of Docker, CI/CD, and modern managed or serverless platforms
• Product-minded and collaborative, balancing technical rigor with user and business needs, caring about testing and maintainability, and communicating clearly in a remote, cross-functional team

Your 90-Day Success Path

• 30 Days: Ship small full-stack features in our Next.js + Supabase stack; learn our security and data architecture; demonstrate effective use of AI tools + agentic workflows in your day-to-day work.
• 60 Days: Own and deliver secure, high-impact features end-to-end; contribute to schema and API design; help refine patterns for RLS, migrations, edge functions, and internal AI/agent tooling.
• 90 Days: Lead new initiatives, drive improvements in performance and security posture, shape our full-stack and AI-native architecture, and mentor peers on Next.js, Supabase, and AI-accelerated development.

Our Tech Stack

• Languages: TypeScript, JavaScript, Python
• Frontend: Next.js, React
• Backend / Platform: Supabase (PostgreSQL, Auth, Edge Functions, Storage), Node/TypeScript services
• Data: PostgreSQL (Supabase + AWS RDS during migration), Redis
• Auth & Security: Supabase Auth, OAuth2/OIDC, GitHub, Trivy, Snyk
• Infrastructure: AWS, Docker, Kubernetes (for supporting services), modern CI/CD
• AI Tools: Cursor, Devin, GitHub Copilot, and modern agent frameworks where appropriate

Why Finite State?

• Be a part of building the leading platform for connected device cybersecurity.
• Join a fast-moving team that values transparency, innovation, and impact.
• Work fully remotely with a high degree of autonomy and ownership.
• Comprehensive Benefits
• Investment: We offer learning stipends to support your professional development
• Equity: We offer equity so you can share in our growth and success
• Help solve some of the most pressing cybersecurity challenges facing connected device  manufacturers and the millions of people who depend on them

Compensation

• Tier 1 (San Francisco, New York, Seattle): $227,000 - $270,000 
• Tier 2 (All Other Locations): $181,000 - $216,000

About This Role

Caylent’s Anthropic Business Unit is a dedicated AI services practice built in partnership with Anthropic. 

The Forward Deployed AI Lead is the strategic and architectural lead on AI engagements. Paired with a Forward Deployed Engineer (FDE) who handles hands-on implementation, you own the engagement arc: shaping AI strategy, designing operating models, mapping AI outcomes to business value, and guiding executive stakeholders through adoption. You lead the room — the FDE builds what you architect.

This is a cross-functional role. You engage across lines of business, not just engineering, connecting AI initiatives to the outcomes that matter to each part of the organization. Every engagement is anchored to Anthropic’s platform and focused on real AI adoption outcomes.

Your clients span PE portfolio companies, growth-stage software businesses, and enterprise organizations. You are the strategic face of Caylent from kickoff through handoff.

What You’ll Do

Strategy and Architecture

• Own AI engagements end-to-end as the strategic lead, from discovery through executive handoff, partnered with an FDE who drives implementation
• Run structured discovery across engineering, product, and business stakeholders to map organizational context, AI readiness, and strategic goals across lines of business
• Design AI operating models that define how the organization adopts, governs, and scales AI. Not just within engineering, but across the business
• Define AI outcome maps that tie initiatives to measurable business results: efficiency gains, revenue impact, risk reduction, and time-to-value
• Lead AI maturity assessments and architect near-term and long-term adoption roadmaps aligned to Anthropic’s platform capabilities
• Facilitate executive workshops and enablement sessions for audiences ranging from engineering teams to C-suite leaders
• Deliver executive presentations to CTOs, VPs of Engineering, and line-of-business leaders covering current-state findings, ROI projections, and strategic recommendations
• Direct FDE work on Claude Code tooling, prompt architecture, and workflow automation. You set the technical direction, the FDE executes

Client Relationship and Business Development

• Identify expansion opportunities across lines of business. AI strategy work naturally surfaces adjacent needs in departments beyond the initial engagement
• Shape follow-on scope throughout the engagement: by Week 1, you should have a working hypothesis for the next engagement; by the final on-site block, you present it
• Build executive relationships that position Caylent as a long-term AI strategy partner, not a one-time vendor
• Attend on-site for the final Catalyst block: readout, workshop, and executive presentation

Internal Contribution

• Contribute reusable strategy frameworks, delivery artifacts, and methodology improvements back into the practice at engagement close
• Lead AI strategy engagements spanning multiple teams, platforms, and business functions
• Collaborate with FDEs to refine the architect-engineer delivery model and improve handoff patterns

What We’re Looking For

Required

• 8+ years of software development or technical architecture experience across varied stacks, including hyperscaler environments
• 3+ years in engineering leadership, technical consulting, solutions architecture, or a combination
• Demonstrated ability to engage across lines of business. You can talk to a VP of Engineering about CI/CD and a COO about operational efficiency in the same week
• Experience designing or advising on AI operating models, technology adoption strategies, or digital transformation programs
• Hands-on familiarity with Claude Code or equivalent AI-assisted development tools — you don’t need to configure them daily, but you need to speak the language credibly and direct an FDE’s work
• Certified Claude Architect
• Experience running structured stakeholder interviews, discovery sessions, and facilitated workshops with both technical and business audiences
• Strong executive communication: writing and presenting to CTOs, VPs of Engineering, and line-of-business leaders
• Experience delivering professional services engagements, including scope management, deliverable ownership, and client advisory
• Working knowledge of CI/CD pipelines, DevOps practices, and modern software development workflows

Preferred

• Experience mapping AI initiatives to business outcomes (revenue, efficiency, risk, time-to-value) with executive-level ROI framing
• Familiarity with PE portfolio company environments and board-level communication
• Background in solutions architecture, platform engineering, or enterprise technology strategy
• Experience with LLM prompt engineering, agentic AI workflow design, or AI product development
• Direct experience with Claude Code’s extensibility model
• Familiarity with SDLC maturity frameworks or workforce analytics (DORA, DevEx)
• Experience designing and facilitating workshops for mixed audiences — engineers, product managers, and business stakeholders

Who Thrives Here

The Forward Deployed AI Lead who do well here are a specific profile:

• Sat in the seat. You’ve led engineering teams or technology strategy inside a product company and understand the pressures executives navigate when adopting AI. Clients can tell.
• Thinks across the business. You don’t stop at engineering. You see how AI impacts operations, product, and go-to-market — and you can have those conversations with the people who own them.
• Knows when to slow down. You surface risks before committing to an approach. When the client’s definition of the work is wrong, you say so.
• Closes the next engagement. The final week of a Catalyst is a conversion window. You treat it that way — and the cross-LOB relationships you’ve built give you multiple paths to expand.
• Makes the methodology better. Every engagement teaches you something. You feed it back into the practice rather than keeping it in your head.
• Earns trust at the executive level. You’re as comfortable presenting an AI operating model to a COO in the morning as reviewing prompt architecture with your FDE that afternoon.

This is a poor fit if you want someone else to handle the sales motion or prefer execution-only roles. You are accountable for both strategic delivery quality and account expansion.

Why This Team

• Ground floor of something real: this BU is early, well-resourced, and anchored to Anthropic. You're writing the playbook, not inheriting one
• Own the methodology: you are shaping how AI-DLC enablement gets delivered. Every engagement you run improves the one after it
• Proximity to the market: your clients are PE portcos, enterprise engineering orgs, and Anthropic-referred customers at the frontier of AI adoption
• Revenue upside: Forward Deployed AI Lead who drive account expansion earn on revenue generated, not just delivery margin
• AI-native by default: this team uses AI in how it works. Specification-First Engineering is how we move from prototype to production fast
• Outcomes, not hours: advancement tied to delivery performance and account growth, not utilization

Benefits

Base Salary Range: The expected base salary range for this position is CAD $215,000 - $235,000 per year, commensurate with experience and qualifications.

Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.

Role Description

Dropbox, we believe in simplifying the way people work together. We provide a range of innovative cloud-based solutions to empower individuals and businesses to share, access, and collaborate on their files seamlessly. Staff Engineers are pivotal in shaping our mission of building a more enlightened way of working where everyone can unleash their creative potential without constraints.

This role owns large, ambiguous problem spaces directly tied to company metrics and translates them into a clear six-month technical roadmap, leading delivery for 15–20 engineers across team boundaries. The leader collaborates on ideas that shape area-level decisions, communicates effectively at all levels, and continuously integrates evolving business context into product and platform direction. They set and model high standards for engineering and operational excellence—driving reliability, scalability, execution rigor, and long-term maintainability across foundational systems—while remaining deeply hands-on through daily coding, design authorship, critical reviews, and architectural leadership. The role influences Core Engineering roadmaps, establishes technical direction, and brings strong instincts for high-quality consumer-facing experiences. They mentor senior talent, raising the technical bar through coaching and example, and extend their impact through org-level technical leadership. Over time, this leader grows from a cross-team technical driver into an org-level technical strategist, optimizing for the company as a whole rather than a single scope.

This team will own project Optimize Activation and Engagement Flows for Team Users. Lead a multi-year plan to modernize onboarding and activation, clean up core Dropbox surfaces, and build intelligent, adaptive systems that boost team activation, invites, and long-term engagement across platforms. Opportunity for large impact on the business helping Teams users activate on the right features to drive down churn. 

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the technical delivery of a team of 12 engineers to deliver high-impact business and customer outcomes.
• Shape technical direction and partner with Product Management as the DRI for critical company-wide objectives.
• Own massive, ambiguous technical and product problems that create company-wide opportunity.
• Be a prolific, hands-on coder who owns and implements the most critical, complex, and foundational components of the system.
• Influence roadmaps across orgs, breaking silos and steering decisions that change how Dropbox builds.
• Architect foundational systems that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.
• Demonstrate senior technical leadership and maintain high engineering standards in a virtual-first environment.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent technical experience
• Minimum of 12 years of experience as a software engineer 
• Must have worked in a consumer user-facing team (versus a platform team, a developer-facing API-based product, etc) 
• Must have a strong mix of skills and depth across multiple areas, including three or more of frontend, mobile, search, databases, storage, concurrency, and modern ML and LLM-based APIs and agentic frameworks

Role Description

Dropbox, we believe in simplifying the way people work together. We provide a range of innovative cloud-based solutions to empower individuals and businesses to share, access, and collaborate on their files seamlessly. Staff Engineers are pivotal in shaping our mission of building a more enlightened way of working where everyone can unleash their creative potential without constraints.

This role owns large, ambiguous problem spaces directly tied to company metrics and translates them into a clear six-month technical roadmap, leading delivery for 15–20 engineers across team boundaries. The leader collaborates on ideas that shape area-level decisions, communicates effectively at all levels, and continuously integrates evolving business context into product and platform direction. They set and model high standards for engineering and operational excellence—driving reliability, scalability, execution rigor, and long-term maintainability across foundational systems—while remaining deeply hands-on through daily coding, design authorship, critical reviews, and architectural leadership. The role influences Core Engineering roadmaps, establishes technical direction, and brings strong instincts for high-quality consumer-facing experiences. They mentor senior talent, raising the technical bar through coaching and example, and extend their impact through org-level technical leadership. Over time, this leader grows from a cross-team technical driver into an org-level technical strategist, optimizing for the company as a whole rather than a single scope.

This team will own project Optimize Activation and Engagement Flows for Team Users. Lead a multi-year plan to modernize onboarding and activation, clean up core Dropbox surfaces, and build intelligent, adaptive systems that boost team activation, invites, and long-term engagement across platforms. Opportunity for large impact on the business helping Teams users activate on the right features to drive down churn. 

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the technical delivery of a team of 12 engineers to deliver high-impact business and customer outcomes.
• Shape technical direction and partner with Product Management as the DRI for critical company-wide objectives.
• Own massive, ambiguous technical and product problems that create company-wide opportunity.
• Be a prolific, hands-on coder who owns and implements the most critical, complex, and foundational components of the system.
• Influence roadmaps across orgs, breaking silos and steering decisions that change how Dropbox builds.
• Architect foundational systems that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.
• Demonstrate senior technical leadership and maintain high engineering standards in a virtual-first environment.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent technical experience
• Minimum of 12 years of experience as a software engineer 
• Must have worked in a consumer user-facing team (versus a platform team, a developer-facing API-based product, etc) 
• Must have a strong mix of skills and depth across multiple areas, including three or more of frontend, mobile, search, databases, storage, concurrency, and modern ML and LLM-based APIs and agentic frameworks