MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.

We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.

As the AI GTM Engineer, Growth Marketing, you’ll build and scale the technical foundation behind MaintainX’s acquisition engine. Reporting to the VP, Growth Marketing & Strategy, this is a hands-on, embedded role within the Growth Marketing team, where you will partner directly with marketers to design, build, and launch campaigns powered by automation and AI. You won’t operate as a separate engineering function, you’ll work side-by-side with Customer Marketing, Performance Marketing, SEO & GEO, Lifecycle, and Field Marketing teams to turn campaign ideas into scalable systems and live experiments. This role is critical to building an AI-native, system-driven marketing engine at MaintainX, enabling us to scale acquisition through automation, personalization, and experimentation.

What you'll do:

• Partner with Marketing to Build & Launch Campaigns
• Work directly with Growth marketers to ideate, design, and launch acquisition campaigns
• Translate campaign ideas into scalable systems, automations, and experiments
• Rapidly prototype and iterate on new growth plays (landing pages, outbound, paid, lifecycle)
• Build Systems That Power Campaign Execution
• Develop tooling for programmatic landing pages, ad creative generation, and email workflows
• Enable marketers to launch campaigns faster through reusable systems and automation
• Balance speed (quick tests) with scalability (systems that can be reused)
• Embed AI into Marketing Workflows
• Partner with marketers to identify high-leverage use cases for AI in campaigns
• Build and deploy AI-driven systems for:
• Creative generation and testing
• Personalization across channels
• Outbound messaging and sequencing
• Turn one-off experiments into repeatable campaign infrastructure
• Own Experimentation with Marketing
• Co-design and implement experiments across paid, SEO, lifecycle, and web
• Build tooling to track performance, attribution, and testing outcomes
• Enable faster, data-driven iteration across campaigns

Audience, Segmentation & Personalization

• Partner with marketers to define target audiences and ICP segments
• Build systems to dynamically segment, enrich, and activate audiences across channels
• Enable real-time personalization across the funnel

• Marketing Data & Performance
• Ensure clean data flows from marketing channels into CRM and analytics systems
• Build dashboards and reporting layers for campaign performance and funnel metrics
• Improve visibility into CAC, conversion rates, and pipeline generation 

What you’ll bring:

Technical Skills

• Strong programming ability (Python, JavaScript, or similar)
• Experience working with APIs, automation frameworks, and event-driven systems
• Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, etc.)
• Experience integrating tools like Salesforce, HubSpot, Segment, Webflow, etc.
• Experience deploying AI/LLM workflows into production
• Marketing Systems Experience
• Experience working closely with marketing teams to build and launch campaigns
• Strong understanding of paid media, SEO, lifecycle marketing, and web conversion flows
• Experience building systems that directly support campaign execution and optimization
• Mindset
• Thinks like a marketer, builds like an engineer
• Optimizes for speed, iteration, and measurable impact
• Focused on pipeline and revenue outcomes, not just outputs
• Defaults to automation and scalable systems over manual work

About you:

• 5+ years in growth engineering, marketing engineering, or technical growth roles, with experience building systems that support marketing and acquisition.
• Strong ability to partner with marketers to design and launch campaigns, and translate those into scalable systems and automation.
• Proficiency in SQL and at least one programming language (e.g., Python, JavaScript), with experience building scripts, workflows, or internal tools.
• Experience working with APIs, data pipelines, and integrating marketing tools (e.g., Salesforce, HubSpot, Segment).
• Experience applying AI/LLMs to automate or scale marketing workflows (e.g., content generation, personalization, outbound).
• Solid understanding of paid media, SEO, lifecycle marketing, and experimentation frameworks.
• Strong analytical skills with experience in testing, attribution, and performance measurement.
• Entrepreneurial mindset: thrives in fast-paced, test-and-learn environments with a bias toward speed and execution.
  
  

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment 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 make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

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

ABOUT THE ROLE

Under the guidance of an engineering manager or field service manager, act as a team design application engineer and regular field implementation. As a fully competent engineer the primary goal of the Physical Design Engineer is to apply sound and diversified knowledge of engineering principles and practices in broad areas of assignments in related fields and to develop broad multi-task, HV Substation experience to effectively manage medium to large sized EPC projects. 

Some of the responsibilities you can expect include the following:

• Independently make decisions regarding engineering problems and methods.
• Utilizing intuition and innovation independently solve design problems.
• Instill a professional image with all dealings with Hut 8 clients, as well as interpersonal relationships with team members. Provide encouragement, insight, mentoring and challenge to team members under your supervision.
• Utilizing advanced techniques, precepts and practices of the engineering field and related sciences and disciplines, independently carry out engineering assignments based on the International Electrical Codes (IEC) as well as American National Standards Institute (ANSI).
• Coordinate QA/QC design reviews as well as final sign-off of documents issued for procurement and construction.
• Develop the detailed design documents, including but not limited to, General Arrangements, Sectional Elevations, Installation Details, Conduit & Grounding Layouts and Details, Foundation and Steel Design.
• Perform lightning, lighting, and bus calculations.
• Generate specifications and BOMs of substation equipment for pricing and procurement.
• Travel to the project site required. 

ABOUT YOU

• BSEE or BSCE with minimum 5 years’ experience in High Voltage Engineering, or an M .S. degree in engineering with sufficient experience required for advancement as determined by management, or a combination of applicable education and experience as determined by management; professional registration or expectation of achieving professional registration within a specified time period.
• While performing the duties of this position the employee is frequently required to sit for long periods of time; occasionally lift a maximum of 20 pounds; specific vision abilities required by this job include close vision, color vision, ability to adjust focus. Occasional travel.
• FLSA STATUS: Exempt.

ABOUT THE WORK ENVIRONMENT

This role is on-site with travel to our various Data Center locations. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a South East territory. 

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426187

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location. 

The ideal candidate should

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273396252

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

Position Summary 

Position Summary

We're looking for an Associate Manager, Technical Account Management with a strong technical background, excellent communication skills, and a passion for customer advocacy. The ideal candidate will have a proven track record of driving product adoption, identifying opportunities for value realization, and resolving customer issues. If you're a seasoned professional with a collaborative mindset and a passion for driving customer success, we encourage you to apply to join our dedicated management team for Technical Account Managers.

As an Associate Manager, Technical Account Management, you will lead the technical aspects of our customer success initiatives and play a critical role in ensuring the ongoing satisfaction and success of our clients. You will serve as the primary technical contact for our most complex and strategic accounts, leveraging your expertise to drive adoption, retention, and expansion of our products and services. In addition, you will manage Technical Account Managers in this player/coach role.

Key Responsibilities

• Provide technical leadership and guidance to customers and internal teams on the implementation, configuration, and optimization of our products and solutions. Act as a trusted advisor to customers, offering insights and best practices to help them achieve their business objectives.
• Serve as the voice of the customer within the organization, advocating for customer needs and priorities. Gather feedback, identify trends, and communicate insights to product management and development teams to drive product improvements and enhancements.
• Proactively engage with customers to understand their business goals and objectives, and identify opportunities for product adoption and expansion. Develop and execute customer success plans to drive value realization and ensure customer satisfaction.
• Identify and mitigate risks to customer success, including technical challenges, adoption barriers, and other factors that may impact customer satisfaction and retention. Develop proactive strategies to address risks and ensure customer success.
• Continuously monitor and assess customer satisfaction and engagement metrics, and identify opportunities for improvement. Collaborate with cross-functional teams to implement process improvements and drive customer success initiatives.
• Work within Business Intelligence tools like PowerBI and CRMs like SalesForce. Create reports and monitor performance of Key Performance Indicators (KPI’s) tied to Technical Account Managers.
• Identify talent while interviewing prospects for Technical Account Management.

Required Qualifications 

• Bachelor's degree in computer science, engineering, or related field.
• 5+ years of experience in a customer-facing technical role, such as customer success engineer, solutions engineer, or technical account manager.
• Previous Management experience is a plus.
• Strong technical aptitude and expertise in software applications, APIs, and cloud technologies.
• Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical audiences.
• Proven track record of successfully managing complex technical projects and driving customer success initiatives
• Project management experience, with the ability to manage multiple projects and priorities simultaneously
• Strong problem-solving and troubleshooting skills, with a proactive and solution-oriented mindset.
• Experience working with enterprise customers and managing strategic accounts is preferred.
• Familiarity with CRM systems and customer success tools (e.g., Salesforce, Gainsight) is a plus.

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

The Opportunity

We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: This fully remote role based in Atlanta, GA. We are looking for someone who is willing to visit customers in their territory.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

Location: This is a hybrid job. We are looking for someone based in Atlanta who will work from home, but is willing to visit customers in the area and in their territory. 

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

The Opportunity

We are looking for a Strategic Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: This fully remote role based in Chicago, IL. We are looking for someone who is willing to visit customers in their territory.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

The Opportunity

We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: This fully remote role based in Dallas, TX. We are looking for someone who is willing to visit customers in their territory.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

Summary: We are seeking a skilled Network Systems Engineer to assist in the planning, forecasting, and implementation of resource requirements for network systems, including wireless, of moderate complexity. This role involves participating in network planning, architecture design, and engineering, as well as integrating and schematically depicting complete network configurations.

Responsibilities:

• Assist in network planning and architecture design.
• Integrate communication architectures, topologies, hardware, software, transmission, and signaling links into network configurations.
• Evaluate new products and perform network problem resolution.
• Assist in the development and documentation of technical standards and interface applications.
• Monitor protocol compatibility, perform system tuning, and recommend improvements.
• Work on projects/systems/issues of medium to high complexity surrounding network planning, configuration, and optimization.
• Participate as a project team member or occasionally as a project team lead.
• Coach more junior technical staff as necessary.

Required Skills:

• Bachelor’s Degree in Computer Science, Information Systems, or related field, or equivalent work experience.
• Minimum of 3 years of IT work experience in infrastructure/network environments performing network engineering, design, planning, and implementation.
• Experience with network planning, configuration, and optimization for medium to high complexity projects.
• Ability to work effectively as a team member and occasionally lead project teams.

#Ll-Onsite

About Nubank

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page https://international.nubank.com.br/careers/

About the role

The Traffic Management team keeps Nubank’s customer‑facing and internal services reachable and secure. It is the layer that routes and protects every service request, from mobile app entry points to service‑to‑service calls across all our regions and environments. This function owns the strategy and execution for our service mesh ensuring our products can scale safely as we grow and expand. In this role, you will drive the reliability, scalability and security of this critical platform, evolving our service mesh, strengthening resilience and observability, and pushing our capabilities so that product teams can ship quickly without compromising stability.

You'll be responsible for

• Lead and Deliver end‑to‑end milestones on the traffic platform, from problem definition to rollout and follow‑up, breaking complex problems into clear tasks and keeping progress and risks visible for the team and key stakeholders.
• Take ownership of complex and sometimes ambiguous problems, analyzing options and trade‑offs, and proposing clear, pragmatic solutions that balance reliability, performance, security and effort.
• Ensure the stability and quality of what you and the team ship: design with failure in mind, put the right tests and observability in place, and react quickly to incidents, driving follow‑ups that prevent them from happening again.
• Collaborate with engineers, product and partner teams to understand needs, align on priorities and turn them into clear technical plans and milestones that are connected to the team’s goals.
• Use AI and agents in an AI‑first way in your routine to investigate issues, write and review code, explore solution options and automate repetitive work, helping the squad adopt safe, effective AI workflows rather than just individual usage.
• Create and maintain clear technical documentation and runbooks that help other engineers understand, use and operate the traffic platform with confidence, and share knowledge through reviews, sessions and participation in function‑level initiatives.
• Help other engineers grow by giving and receiving feedback through code reviews, design discussions, pairing and day‑to‑day collaboration, acting as a reference for good engineering practices inside the team.
• Participate in support and on‑call routines for the area, using incidents, tickets and metrics as input to suggest and drive medium‑term improvements to the platform and to how we work.

We Are Looking for a Person Who Has

• Operated large-scale, high-performance synchronous distributed systems in the cloud, working directly with load balancers, reverse proxies, TLS/mTLS and routing, and using metrics, logs and traces to debug issues, optimize performance and improve overall reliability.
• Worked hands-on with Kubernetes-based infrastructure and Infrastructure-as-Code tooling — defining and evolving manifests, routing and deployment strategies, and managing DNS configuration — with a solid understanding of how these pieces fit together to deliver resilient traffic paths in production.
• Uses AI as part of their daily engineering workflow, leveraging AI tools and agents to investigate issues, write and review code, explore solutions and automate repetitive work, while consistently validating outputs and holding quality and safety as non-negotiable standards.
• Led end-to-end infrastructure platform projects from design to production go-live, breaking work into clear milestones, coordinating across stakeholders, managing risks and trade-offs, and following through post-rollout to stabilize and evolve the solution.
• Experience with Istio or other service-mesh technologies such as Linkerd or Envoy-based solutions — or legacy stacks like Finagle — designing and evolving traffic policies, resilience features and observability for service-to-service communication.
• Worked with AWS networking and compute primitives (ALB/NLB, security groups, VPC, Route 53, IAM) in production environments, with an understanding of how these layers interact with application traffic.
• Hands-on experience using Infrastructure-as-Code tools such as Pulumi or Terraform to design, version and roll out changes to cloud and Kubernetes infrastructure in a safe, repeatable way.
• Previously built platform capabilities or shared libraries for other engineers — abstractions, SDKs or internal tooling — that make it easier and safer for product teams to consume traffic and networking capabilities at scale.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the Role

We are looking for an experienced engineer who thrives on solving "meta-problems"—fixing the tools and processes that other teams rely on. You will be responsible for designing and implementing high-leverage automation, managing enterprise tool rollouts (e.g., Postman, n8n), and defining the technical governance for our next-generation AI workflows.

Key Responsibilities

• Enterprise Automation & Platform Engineering:
  • Lead the implementation and maintenance of automation platforms (e.g., n8n) to orchestrate workflows across business units.
  • Design and optimize critical communication infrastructure (e.g., AWS SES, email delivery resilience) to ensure high availability for internal and transactional messaging.
• AI & "Vibe Coding" Governance:
  • Drive the technical strategy for AI adoption within engineering workflows.
  • Develop governance frameworks to ensure safe, compliant, and effective use of AI coding assistants and agents.
  • Build "Minimum Control Platforms" that balance developer freedom with security and operational risk requirements.
• Internal Tooling Standards:
  • Define and enforce usage standards for developer tools (e.g., Postman for API lifecycle), ensuring consistency across squads.
  • Conduct "Discovery Design" for new internal products, ensuring they are inclusive and scalable across different technical frameworks.
• Cross-Functional Technical Leadership:
  • Act as a technical reference for the domain, influencing architectural decisions beyond the immediate team. Mentor senior engineers and partner with stakeholders (ITSec, Privacy) to align technical solutions with company policies.

What are we looking for?

Technical Skills

• Solid Software Engineering Background: Proficiency in modern programming languages (Clojure, Java, or Python preferred) and distributed systems.

• Infrastructure & Cloud: Strong hands-on experience with AWS (specifically services like SES, Lambda, IAM) and Infrastructure-as-Code (Terraform/CloudFormation).

• Automation Mindset: Experience with workflow automation tools (n8n, Zapier, or custom orchestration engines) and API integration.

• AI/LLM Familiarity: Interest or experience in integrating LLMs/AI agents into developer workflows (e.g., Cursor, Copilot, internal AI agents).

• Advanced English

Behavioral & Strategic Skills

• Governance-Aware: You understand that "efficiency" must be balanced with "security." You can design systems that are safe by default without destroying developer velocity.
• Problem Solver: You are comfortable debugging opaque infrastructure issues (like email deliverability drops) one day and writing a strategic policy document the next.
• Multiplier: You enjoy documenting your work, creating "Golden Paths" for other engineers, and teaching others how to use the tools you build.

Location

• Durham, United States
• Miami, United States
• Palo Alto, United States
• Washington DC, United States

Our Benefits

• Opportunity of earning equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• Life Insurance and AD&D
• Extended maternity and paternity leaves 
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• 401K
• Saving Plans - Health Saving Account and Flexible Spending Account
• Work-from-home Allowance
• Relocation Assistance Package, if applicable.

Work Model for this Role

Hybrid 2–3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Location-Specific Disclosures

• Palo Alto: Total compensation includes base salary, RSUs and benefits. Base salary range: $11,712 - $17,568

Who We Are  

Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly.  We transform energy into high-value compute with unmatched efficiency at scale. The company is a $5 billion publicly traded company (NASDAQ: CORZ).  

We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations.  We own and operate nine data centers in seven states, housing advanced infrastructure for our customers.  

What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts.  

Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific. 

Title 

Staff Site Reliability Engineer 

Reports To 

Site Reliability Engineering Manager 

The Job 

We are seeking a capable, motivated generalist who thrives in a change-controlled, compliant environment and enjoys working across hybrid cloud and on-premises systems. This role partners closely with application architecture and peer engineering teams while contributing hands-on across platform engineering, DevOps, and SRE. 

This position is expected to take ownership of complex technical initiatives and see them through to completion—balancing hands-on implementation with effective delegation and cross-team coordination. 

Responsibilities 

• Lead end-to-end delivery of complex technical initiatives, from problem definition and design through implementation, rollout, and operation 
• Own the design, implementation, and reliability of systems across hybrid cloud and on-premises environments  
• Take accountability for technical outcomes, including system reliability, scalability, and performance in regulated, change-controlled environments  
• Drive execution by coordinating work across engineers and teams, delegating effectively while remaining hands-on where needed  
• Partner with application architecture and peer teams to shape system design and influence technical decisions  
• Build, deploy, and operate infrastructure and applications using automation and infrastructure as code  
• Implement secure, immutable infrastructure using modern tooling (e.g., Terraform, Kubernetes, Helm, Ansible)  
• Improve observability, monitoring, and incident response practices  
• Establish and promote best practices for reliability, security, and operational excellence across teams  
• Mentor engineers and contribute to raising the technical bar across the organization  
• Foster open, respectful, and professional communication directly within the team as well as with co-workers/ teammates and leaders across the organization  
• Performs other duties as assigned 

Qualifications 

• Bachelor's degree in Computer Science or a related field, 7+ years of experience, or equivalent demonstrated impact in SRE, DevOps, or Infrastructure Engineering 
• Broad technical experience across infrastructure and distributed systems, with the ability to design effective solutions, apply appropriate patterns, and anticipate scaling, reliability, and operational challenges  
• Strong understanding of distributed systems behavior, including application runtime characteristics, service-to-service communication, networking, and failure modes in production environments  
• Experience operating in regulated, compliant, or change-controlled environments  
• Experience working in hybrid environments (AWS preferred; on-premises infrastructure required)  
• Strong experience with Infrastructure as Code, configuration management, and orchestration tools (Terraform, Helm, Kustomize, Ansible)  
• Experience with Kubernetes and virtualization technologies  
• Experience with observability platforms (e.g., Datadog), including building monitoring and alerting integrations  
• Experience with build and release systems (e.g., GitHub Actions, Makefiles, Python tooling)  

Location  

To be considered for the role you must reside near Miami, FL or Austin, TX.  

Travel 

Occasional travel may be required 

Work Environment  

This job typically operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones. This role may also travel to data center sites, and the work environment at a data center may contain loud noise, construction, and other operational elements. 

Physical Demands  

While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.    

Position Type/ Expected Hours of Work  

This is a full-time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. The employee is expected to be available generally around U.S. time zones and will be part of an on-call rotation. The current rotation is 1 week every 5 weeks. 

Supervisory Experience (Yes or No)  

No 

Who We Are 

Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly.  We transform energy into high-value compute with unmatched efficiency at scale. The company is a $5 billion publicly traded company (NASDAQ: CORZ). 

We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations.  We own and operate nine data centers in seven states, housing advanced infrastructure for our customers. 

What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts. 

Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific. 

Title 

Enterprise Architect 

Reports To 

Chief Technology Officer 

The Job 

As organizations scale, digital systems outpace the assumptions that shaped them. Permissions accumulate, automation compounds, reconciliation logic ages, and integrations drift until policy and documentation alone can no longer ensure that system behavior reflects operational, financial, and revenue-generating reality. 

We are seeking an Enterprise Architect within the Technology organization to ensure that enterprise systems operate with durable precision as complexity increases. The mandate is dual: contain structural risk and harden the enterprise into a disciplined, programmatic system that accelerates revenue, efficiency, and enterprise value. Reporting to the Chief Technology Officer and operating across engineering, data, finance, and operations, this role carries executive sponsorship aligned with CEO directive to strengthen institutional precision so that technology compounds advantage rather than complexity. 

Digital systems define operational truth and revenue execution. When architecture diverges from real-world behavior, inefficiency compounds quietly, throughput slows, reporting distorts, and value erodes. This role engineers durability directly into system design—strengthening control architecture, validating behavior, eliminating operational debt, and maintaining disciplined access models so efficiency becomes structural rather than dependent on vigilance. 

Success is measured by increasing precision at scale. Systems align with operational and financial reality without constant intervention, weaknesses are surfaced before they compound, automation reinforces accountability rather than obscuring it, and improvements in control architecture translate into faster decision velocity, cleaner financial signal, reduced workflow friction, and measurable performance gains. Hardening removes fragility without introducing bureaucracy; precision increases speed. 

This is not a compliance or audit function. It is a high-trust, senior individual contributor role embedded within live enterprise systems with direct access to the CTO and visibility aligned with CEO mandate. 

Responsibilities 

• Investigate enterprise systems to ensure that digital workflows reflect operational, financial, and revenue-generating reality. 

• Map control surfaces across ERP, CRM, data pipelines, automation frameworks, APIs, and integrations, identifying structural weaknesses or inefficiencies.  

• Analyze reconciliation logic embedded within tooling and validate that assumptions remain sound under current scale and transaction velocity. 

• Detect privilege creep, access model drift, override frequency, structural permission risk, and hidden inefficiencies embedded in nuisance technology. 

• Examine automation layers for masked control failures, redundant workflows, and process friction that suppress throughput. 

• Redesign or reinforce enterprise control frameworks where necessary, strengthening architecture without introducing bureaucratic drag. 

• Use structured data analysis, scripting, and AI-accelerated investigative workflows to surface anomalies, quantify exposure, and model performance impact. 

• Translate technical findings into executive-level analysis that connects control integrity to margin protection, decision velocity, and revenue acceleration. 

• Partner with engineering and operations leaders to eliminate structural inefficiencies and convert fragile workflows into hardened programs. 

• Strengthen traceability, documentation, and institutional memory so that system durability scales with growth. 

• Foster open, respectful, and professional communication directly within the team as well as with co-workers/ teammates and leaders across the organization 

• Performs other duties as assigned 

Qualifications 

We are intentionally open to unconventional backgrounds. Exceptional candidates may have experience as: 

• A senior technical leader responsible for building and hardening systems under pressure. 

• A systems engineer or platform architect who has diagnosed and repaired structural fragility. 

• A forensic or investigative professional with strong technical depth. 

• A security or controls engineer with enterprise exposure. 

• A senior operator who has eliminated operational debt while scaling performance. 

You are likely a solution-oriented operator who derives energy from untangling nuisance technology, cleaning up degraded workflows, and eliminating inefficiencies that others tolerate. 

• Think in systems and control surfaces rather than isolated incidents. 

• Understand that structural failure often begins as unmanaged drift. 

• Recognize operational debt embedded in tooling and process before it becomes material loss. 

• Are materially focused and capable of distinguishing signal from noise. 

• Remain calm and precise in ambiguous environments. 

• Are comfortable operating without formal signature authority. 

• Can interrogate systems without destabilizing trust. 

• Thrive on turning fragility into engineered durability. 

• Prefer building hardened programs over writing policies. 

AI proficiency is foundational in this role. You are expected to use AI as a primary analytical engine, a bridging mechanism between systems, and a general-purpose accelerator for investigation, modeling, and solution design. This includes building repeatable AI-assisted workflows that combine data extraction, anomaly detection, hypothesis testing, and structured reporting. 

• Querying structured data using SQL or similar tools. 

• Writing lightweight scripts in languages such as Python to validate assumptions and test system behavior. 

• Navigating APIs, integration layers, automation frameworks, and permission hierarchies. 

• Using AI to synthesize findings, stress-test logic, generate diagnostic artifacts, and accelerate technical validation. 

• Distinguishing between superficial AI usage and disciplined, reproducible AI-driven system interrogation. 

You do not need to be a full-time software engineer. However, you must be technically literate enough to move beyond dashboards and into underlying system logic, and disciplined enough to operationalize AI into repeatable investigative infrastructure. 

Location 

Austin, TX or Miami, FL. While proximity to our core offices is preferred, we prioritize capability and alignment with mandate and will consider remote candidates where appropriate. 

Travel 

Occasional travel will be required up to 25%. 

Work Environment 

This job typically operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones. This role will also travel to data center sites and the work environment at a data center may contain loud noise, construction and other operational elements,  

Physical Demands 

While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.   

Position Type/ Expected Hours of Work 

This is a full-time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. Some nights and weekends may be required. 

Supervisory Experience (Yes or No) 

No 

Who We Are  

Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly.  We transform energy into high-value compute with unmatched efficiency at scale. The company is a $5 billion publicly traded company (NASDAQ: CORZ). 

We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations.  We own and operate nine data centers in seven states, housing advanced infrastructure for our customers. 

What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts. 

Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific. 

Title 
Data Center Design Engineer

Reports To 
Vice President, Data Center Design  

The Job  

We are seeking a highly experienced and innovative Data Center Design Engineer to lead our data center projects. The ideal candidate will have a deep understanding of data center design, construction, and operations, with a strong background in engineering and project management; roles in operations are a plus but not required. This role involves overseeing the entire lifecycle of data center projects, from initial design through to commissioning and operational handover. 

Responsibilities 

• Lead and manage the design engineering team in the conceptualization, design, and implementation of data center projects, ensuring all systems meet performance, reliability, and safety standards. 
• Provide technical leadership in the design of mechanical, electrical, and plumbing (MEP) systems, ensuring integration with architectural and structural elements. 
• Drive innovation in data center design, incorporating the latest technologies and best practices to enhance efficiency and sustainability. 
• Develop and manage project schedules, budgets, and resources, ensuring projects are completed on time and within budget. 
• Implement and oversee quality control processes to ensure compliance with industry standards, codes, and regulations. 
• Collaborate with clients, architects, contractors, and other stakeholders to ensure project requirements are met and expectations are managed. 
• Identify potential risks and develop mitigation strategies to ensure project success. 
• Maintain comprehensive project documentation, including design specifications, as-built drawings, and operation manuals. 
• Mentor and develop junior engineers, fostering a culture of continuous learning and professional growth within the team. 
• Foster open, respectful, and professional communication directly within the team as well as with co-workers/ teammates and leaders across the organization. 
• Performs other duties as assigned. 

Qualifications 

• A bachelor’s or master’s degree in electrical engineering or a related field is required. 
• 10+ years of experience in engineering, with at least 5 years in a senior or principal role managing data center projects. 
• Professional Engineer (PE) license is preferred. LEED accreditation and other relevant certifications are a plus. 
• Proficiency in AutoCAD, Revit, and other engineering design software. Strong understanding of HVAC, electrical power distribution, and plumbing systems. 
• Proven experience in managing large-scale projects, including budgeting, scheduling, and resource allocation. 
• Excellent verbal and written communication skills, with the ability to present complex technical information to non-technical stakeholders. 
• Strong analytical and problem-solving skills, with a proactive approach to identifying and resolving issues. 
• Demonstrated ability to lead and motivate a team, fostering a collaborative and productive work environment. 

Location 

To be considered for this role, you must reside near the following locations: Miami, FL, Austin, TX, Pecos, TX, Denton, TX, Muskogee, OK, Grand Forks, ND, Calvert City, KY, Marble, NC, Dalton, GA or Auburn, AL 

Travel  

Frequent travel may be required as needed. (50% of the time.) 

Work Environment 

This job operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones.  

Physical Demands  

While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.   

Position Type/ Expected Hours of Work  

This is a full-time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. Some nights and weekends may be required.  

Supervisory Experience (Yes or No) 

No 

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

What We offer:

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

ABOUT THE ROLE 

This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplan employees work. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. 

Anaplan is building its Enterprise AI Center of Excellence (COE) — a one-stop shop for all internal AI at Anaplan — and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. 

The AI Principal Architect will own the technical vision for Anaplan's internal AI — designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. 

This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2–3 year AI technology roadmap — without necessarily holding formal management authority over all contributors. 

You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, for agent development and delivery) and the Transformation & Financial Flexibility team (to identify AI-driven cost-saving opportunities). 

KEY RESPONSIBILITIES 

Reference Architecture & Enterprise AI Engineering 

• Own and publish the reference architecture for Anaplan's internal AI — covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines. 

• Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce. 

• Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects. 

• Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment. 

• Evaluate, select, and onboard new enterprise AI platforms and tools — providing technical recommendations grounded in internal workforce needs. 

• Design the LLM abstraction layer and multi-model strategy to optimize cost, performance, and flexibility. 

• Own technical debt management, system observability, and scalability planning for Anaplan's internal AI systems. 

AI Platform Governance & Enablement 

• Define and maintain technical evaluation criteria for the AI intake process — assessing feasibility, build complexity, security risk, and integration requirements for employee-facing tools. 

• Ensure all internal AI initiatives pass engineering, security, compliance, and responsible AI review before development begins. 

• Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance. 

• Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context. 

• Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday). 

• Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value. 

• Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems. 

• Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets. 

• Establish full lifecycle management for AI agents, including monitoring, feedback loops, and continuous improvement. 

Technical Team Leadership 

• Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams. 

• Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions. 

• Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines. 

• Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs. 

• Foster a culture of engineering rigor, experimentation, and continuous improvement across the internal AI function. 

AI Operations & Workforce Adoption 

• Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees. 

• Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth. 

• Build and maintain engineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics. 

• Translate engineering decisions into executive-ready business value narratives for the Director, CIO, and Finance audiences. 

Innovation, R&D & Emerging Technology 

• Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling to identify internal productivity and cost-saving opportunities. 

• Design and lead proof-of-concept pilots that validate novel internal use cases before committing to full engineering investment. 

• Build and maintain the AI innovation pipeline — a living backlog of high-potential experiments. 

• Contribute the technical perspective on where internal AI capabilities should be invested over the next 2–3 years, collaborating with the Director on the roadmap. 

Cross-Functional Technical Partnership 

• Work hand in hand with the Transformation & Financial Flexibility team to identify and technically validate AI-driven cost-saving opportunities in Anaplan's internal operations. 

• Act as technical advisor and AI subject matter expert to business units identifying internal AI use cases. 

• Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments. 

• Build trusted technical relationships across Engineering, Security, Compliance, Legal, and HR. 

REQUIRED QUALIFICATIONS 

• 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role — ideally with exposure to enterprise IT or internal tooling environments. 

• Deep hands-on expertise across the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, or MLOps pipelines — with experience in enterprise or workforce deployment contexts. 

• Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering. 

• Proficiency in Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling. 

• Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise). 

• Demonstrated ability to provide technical leadership, mentorship, and architectural guidance to engineering teams without formal management authority. 

• Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams. 

• Strong business acumen and communication skills — able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences. 

• Experience in enterprise SaaS environments with complex stakeholder landscapes, security requirements, and compliance obligations. 

PREFERRED QUALIFICATIONS 

• Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments. 

• Familiarity with ServiceNow or similar ITSM platforms and integration patterns. 

• Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs. 

• Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization. 

• Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. 
• Enterprise technology function at a high-growth SaaS company. 

About Nubank

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page https://international.nubank.com.br/careers/

About the role

AI is core to how Nubank builds products — and securing it is one of the most critical and forward-looking challenges in the company. The AI Security team, part of Nubank's Information Technology & Security area, is responsible for ensuring that AI systems are developed and operated safely and securely at scale, across LLM-powered applications, autonomous agents, and the infrastructure that supports them.

As Lead Security Engineer (AI), you will own and drive Nubank's defensive security strategy for AI products and internal tools. You will define frameworks, set technical direction, build runtime protections, and enable engineering teams across the company to ship AI systems securely by default. This role sits at the intersection of cutting-edge AI and high-stakes security — and your work will directly shape how one of the world's largest fintechs builds trustworthy AI at scale.

You'll be Responsible For

• Leading the security strategy for Nubank's AI systems — covering LLM-powered applications, AI agents, and their underlying infrastructure — and building the standards and frameworks that guide secure AI deployment across the company.
• Securing AI agents and autonomous workflows by hardening tool usage, enforcing appropriate permission levels, and monitoring agent behavior and decision-making in production.
• Designing and enabling secure architectural patterns for AI applications, including LLM-based services and agent orchestration systems.
• Developing AI-specific detection and monitoring capabilities to identify abuse, misuse, and anomalous behavior — including telemetry across prompts, responses, tool usage, and agent execution.
• Designing and implementing runtime protections for LLM applications, such as prompt injection detection, jailbreak protection, abuse detection, and output safety controls.
• Collaborating with AI engineers and platform teams to integrate security controls into AI development and deployment pipelines.
• Staying current with emerging threats and AI security trends, translating them into concrete controls, guidelines, and standards across Nubank's engineering organization.

We Are Looking for a Person Who Has

• Deep expertise in product security, application security, or cloud security, combined with hands-on experience building AI agent systems.
• A proven track record leading cross-team technical initiatives — setting standards and driving adoption without direct authority.
• Experience designing and implementing secure systems and controls in production environments.
• Hands-on experience with runtime security controls (input validation, abuse detection, policy enforcement) in high-throughput production systems.
• Solid familiarity with LLM application architectures — including prompt pipelines, tool use, and RAG — and their threat surfaces such as prompt injection, data exfiltration, and jailbreaks.
• Strong understanding of agentic systems and AI infrastructure, with the ability to threat-model novel and non-deterministic systems.
• Experience building monitoring, telemetry, and alerting for production systems.
• Strong programming skills in at least one production language, with the ability to read and review code across the AI stack.

Location

• Durham, United States
• Miami, United States
• Palo Alto, United States
• Washington DC, United States

Our Benefits

• Opportunity of earning equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• Life Insurance and AD&D
• Extended maternity and paternity leaves 
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• 401K
• Saving Plans - Health Saving Account and Flexible Spending Account
• Work-from-home Allowance
• Relocation Assistance Package, if applicable.

Work Model for this Role

Hybrid 2–3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Location-Specific Disclosures

• Palo Alto: Total compensation includes base salary, RSUs and benefits. Base salary range: $15,360 - $23,040

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

At Nubank, our Credit Card platform is the core of our global expansion. We are looking for a Staff Engineer to join our platform team as a technical anchor, ensuring our systems remain scalable and flexible as we maintain sustainable growth and innovation in the countries where we currently operate, while also launching into new international markets. You will play a vital role in evolving the architecture of one of our most complex and strategic products.

You will operate within a high-impact triad alongside Product and Management, focusing on long-term technical strategy and system health. As a hands-on technical leader, you will challenge the status quo, propose innovation and solve deep architectural problems, mentor and become a technical reference for our engineering team. Your work will directly enable millions of customers to access financial products via credit card worldwide.

Responsibilities

• Define and drive the long-term vision and strategy for the global architecture of the core credit card platform, ensuring exponential scalability and continuous evolution capability.
• Lead the strategic partnership with Product and Business leadership (C-level and VPs) to shape the medium and long-term technical roadmap and define the strategic OKRs and global impact KPIs.
• Act as a technical and cultural reference, defining the highest standards of engineering excellence, mentoring other Architects and Principal/Staff Engineers, and fostering a culture of innovation and accountability.
• Lead and resolve the most ambitious and high-risk technical challenges, intervening in critical performance or resilience bottlenecks and driving technical execution for solutions with multi-system and multi-country impact.
• Design and oversee the execution of complex system transformations (e.g., core banking migrations, replacement of legacy platforms) ensuring regulatory compliance in multiple jurisdictions and fiscal regimes, proactively mitigating risks.
• Communicate and defend the technical strategy eloquently and convincingly to the executive board and non-technical audiences, translating architecture decisions into business value and competitive advantage.

Required Qualifications

• Principal/Staff Engineer level experience or equivalent with an extensive and demonstrable history in architecting and scaling mission-critical, high-volume, and low-latency systems in global fintech or e-commerce environments.
• Expert proficiency (demonstrated in code and design) in multiple programming paradigms, with significant hands-on experience in functional programming (e.g., Clojure, Scala, Haskell) and reactive/event-based architectures.
• Proven ability to establish and lead the long-term technical strategy for entire platform ecosystems (not just isolated components), influencing the direction of multiple engineering groups.
• Deep and successful experience in navigating and defining the architecture in highly regulated financial environments (e.g., BACEN, FCA, SOX) and designing systems to meet data residency requirements and complex cross-border transactions.
• History of successfully leading and completing large-scale platform transformations (e.g., transition from monoliths to microservices mesh, migration of data centers or clouds), managing risks and operational impact.
• In-depth knowledge of credit card/payment systems design is a significant differential.

Nice to Have

• Experience with Clojure or similar functional languages.
• Proven interest or experience in leveraging AI to optimize engineering workflows.
• Deep domain knowledge of credit card processing or financial ledgers.

Location & Work Model

This role is based on a hybrid model at one of our Nubank offices in Brazil (São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte), the United States (Palo Alto, Durham, Washington D.C. or Miami), or Canada (Toronto).

Location-Specific Disclosures

Total compensation includes base salary, RSUs and benefits.
Toronto base salary range (CAD): $192.000 - $288.000
Palo Alto base salary range (USD): $230.400 - $288.000

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need accommodations during the application or interview process, please let us know.

This offer is conditional on meeting all applicable regulatory eligibility requirements and successful completion of background checks.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio 

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

ABOUT THE WORK ENVIRONMENT

This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Available Locations: Miami, FL 

*This is a work-from-home role, but you should reside in one of the regions.

What you’ll do as a Senior Solutions Engineer

The Pre-Sales Solution Engineering organization owns the technical sales of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds including but not limited to Sales Consultants, Technical Consultants, Technical Support and Program Managers. 

You are a customer facing technologist within the Cloudflare Solutions Engineering team. You have experience in working in a pre-sales or other technical customer facing role supporting large enterprise accounts or acquiring new enterprise customers, as well as excellent verbal and written communication skills suited to explain the benefits of CloudFlare products and services to existing and potential customers. In this role you will be responsible for partnering with the sales team to understand customer requirements and provide sales support, prepare and deliver technical presentations and demos explaining the benefits of Cloudflare products to existing and potential customers, and run proof of concept trials for customers.

Specifically, we are looking for you to:

• Identify and map customer initiatives and business problems to Cloudflare solutions
• Build relationships and technical champions within customer accounts
• Develop and present customer presentations at every Enterprise Customer’s organization level
• Lead demo and proof-of-concept activities for Cloudflare prospects and customers
• Demonstrate your expertise of Cloudflare with your peers  through the creation of professional content, including white papers, blog posts and other knowledge sharing activities
• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices

Basic Requirements

• Previous experience as a Solutions Engineer or other customer facing technical role with CDN, Security, Networking or SaaS
• Solid communication, written and presentation skills
• Ability to work on several projects and activities concurrently
• Highly driven individuals that are curious, team players and work with a sense of urgency
• Bachelor’s Degree or equivalent in relevant work experience
• The role requires up to 50% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates

Examples of one or more desirable skills, knowledge and experience

• Fundamental understanding of customer network and/or application architectures. 
• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP.
• Understanding, knowledge or experience of application and/or network security 
• Understanding, knowledge or experiences with SaaS application environments
• Understanding, knowledge or experience with VPN and remote access challenges
• Understanding, knowledge or experience with SIEM and log analytics platforms 
• Client OS fundamentals and software distribution

Other desirable skills areas include:

• Experience interacting with senior level/executives to communicate a message of network and security transformation
• Routing, subnetting, split tunnels. SD-WAN, local internet breakout
• End user and application security risks - DDoS, malware, phishing, viruses
• Knowledge of competitive market around CDN providers and internet security technologies

Bonus Points

• Graduate-level degrees in Computer Science, Engineering or related fields. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
• Certifications: Azure/AWS/GCP Architect, etc.

More About You

• You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to IT managers and C-levels in enterprise organizations.
• You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions.
• You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever-growing, and knowing how to identify which parts will solve a customer's particular problem is important.
• You understand how to manage a project, work to deadlines, and prioritize between competing demands.

Available Location: Tampa or Miami

Senior Solutions Engineer -  Mid-Market - Tampa

What we look for in our Senior Solutions Engineers

Our Solutions Engineers come from a wide range of backgrounds: financial consulting, engineering, software development, product management, customer support, and project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realize the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

Responsibilities

• As critical members of Cloudflare’s sales team, Solutions Engineers drive technical discussions and implementations to help generate new business, expand existing business, and keep our customers happy.
• In business generation and expansion, you’ll be tasked with qualification of prospect and customer use cases, technical requirements discovery, leading demonstrations, solution identification and design, and collaborative work on proofs-of-concept (PoCs).
• For our existing customers, Solutions Engineers are part of a dedicated account team that advises the customer on technical best practices, implementation of Cloudflare products and features, and strategic guidance on internet security and performance.
• The role requires 20-30% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates.

Requirements

• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash, Lua, Go) and a desire to expand those skills.
• Expertise in internet technologies: OSI Model layers 1-7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), SSL / TLS.
• Familiarity with Zero Trust Framework and SASE related concepts.
• 12 years plus of experience in a customer-facing sales or consulting role.
• Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology, and our Solutions Engineers are viewed as subject-matter experts. It’s incumbent on us to stay up to date not only with Cloudflare’s specific products, but with industry trends.
• A focus on learning, teaching, collaboration, mentorship, and growth, not only personally but also within the team and company.
• Aside from technical and collaborative skills, we place a high value on project management, relationship building, and EQ.

Desired

• You've built web applications before, or contributed to existing web applications in a meaningful way.
• You understand the role of a firewall, the difference between L3, L4, and L7 firewalls, and that ‘ACL’ doesn't always mean Anterior Cruciate Ligament.
• You're not afraid of command-line interfaces, RESTful APIs, or analyzing HTTP request and response in a browser’s web inspector.
• You can describe the differences between CSRF, XSS, and SQLi in detail, and Cloudflare's role in defending against them.
• Understanding of, or experience with, regulatory requirements such a PCI DSS, HIPAA, and SOC-2.
• An undergraduate degree in Computer Science, Engineering or a related field. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.

Bonus Points

• Graduate-level degrees in Computer Science, Engineering or related fields. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
• Certifications

More About You

• You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to IT managers and C-levels in organizations.
• You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions.
• You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever-growing, and knowing how to identify which parts will solve a customer's particular problem is important.
• You understand how to manage a project, work to deadlines, and prioritize between competing demands.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the Role

As a Trading Operations Engineer at Da Vinci, you’ll work closely with a team of skilled traders, researchers and software engineers. You’ll be responsible for managing our trading systems, making sure they run smoothly in day-to-day operations, with future growth in mind.

As our trading systems are highly customized, balancing stability with ongoing change is one of the key challenges in this job. Our engineers often need to learn on the go, so we are looking for people who enjoy exploring unfamiliar territory.

Da Vinci offers an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion. This is a unique opportunity to be part of a growing and successful company, and to play a key role in achieving our ambitious goals for our new Miami office.

Responsibilities:

• Oversee system performance, stability and uptime
• Automate the environment and test new technology fads
• Architect, implement, maintain and monitor our rapidly growing US production environment
• Manage applications in production, and monitor their behavior
• Address potential failures and bottlenecks to proactively prevent obstacles

Requirements:

• Experience managing mission-critical infrastructure and software support (in a trading environment is a plus)
• Intimate knowledge of networking, hardware and OSs (Windows, Linux)
• Familiar with tooling and best practices regarding change, life cycle and incident management, as well as health and performance monitoring of production systems
• Proficient with scripting (e.g., bash, python)
• Quick at analyzing issues and uncovering their root causes
• Eager to learn and understand all aspects of the trading environment
• Ability to spot inefficiencies and proactive in optimizing systems
• Strong communications skills, including the ability to effectively communicate technical information to a non-technical audience

Benefits:

• An opportunity to work beside the best in the field
• Competitive base salary based on experience
• Excellent variable pay based on performance
• Outstanding performance is also rewarded with shareholding in the company
• Relocation package when moving across states
• Training period in Amsterdam to get to know the team
• Comprehensive benefits package including medical, dental, and vision insurance
• Meals during work hours
• Social events and after-work drinks

We are piloting an AI tool that screens applications based on how candidates’ skills and experience align with job requirements. Human recruiters review all applications and will always make all final hiring decisions. If you have any questions, please contact us at recruitment@davincitrading.com.

About the Role

As a Trading Systems Engineer at Da Vinci, you’ll work closely with a team of skilled traders, researchers and software engineers. You’ll be responsible for managing our trading systems, making sure they run smoothly in day-to-day operations, with future growth in mind.

As our trading systems are highly customized, balancing stability with ongoing change is one of the key challenges in this job. Our engineers often need to learn on the go, so we are looking for people who enjoy exploring unfamiliar territory.

Da Vinci offers an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion. This is a unique opportunity to be part of a growing and successful company, and to play a key role in achieving our ambitious goals for our new Miami office.

Responsibilities:

• Oversee system performance, stability and uptime
• Automate the environment and test new technology fads
• Architect, implement, maintain and monitor our rapidly growing US production environment
• Manage applications in production, and monitor their behavior
• Address potential failures and bottlenecks to proactively prevent obstacles

Requirements:

• Experience managing mission-critical infrastructure and software support (in a trading environment is a plus)
• Intimate knowledge of networking, hardware and OSs (Windows, Linux)
• Familiar with tooling and best practices regarding change, life cycle and incident management, as well as health and performance monitoring of production systems
• Proficient with scripting (e.g., bash, python)
• Quick at analyzing issues and uncovering their root causes
• Eager to learn and understand all aspects of the trading environment
• Ability to spot inefficiencies and proactive in optimizing systems
• Strong communications skills, including the ability to effectively communicate technical information to a non-technical audience

Benefits:

• An opportunity to work beside the best in the field
• Competitive base salary based on experience
• Excellent variable pay based on performance
• Outstanding performance is also rewarded with shareholding in the company
• Relocation package when moving across states
• Training period in Amsterdam to get to know the team
• Comprehensive benefits package including medical, dental, and vision insurance
• Meals during work hours
• Social events and after-work drinks

We are piloting an AI tool that screens applications based on how candidates’ skills and experience align with job requirements. Human recruiters review all applications and will always make all final hiring decisions. If you have any questions, please contact us at recruitment@davincitrading.com.

Sr Staff Software Engineer - CC Core Platforms

About Nubank
Nu is the world’s largest digital banking platform outside of Asia, serving over 123 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. The Company is preparing for its next growth cycle where it will accelerate its internationalization process outside Latin America, and will also enter new verticals beyond financial services in its core markets taking advantage of the significant customer penetration.

Nubank History Video
Check out our Blog About Nu 

About the role
We are looking for a Senior Staff Software Engineer to lead the technical evolution of our Credit Card platform. This is not a traditional maintenance role. You will be the architect of a profound transformation: leveraging Generative AI to automate complex operational tasks and orchestrating the global migration from our current systems to a unified, future-proof architecture. You will be a key partner to the Engineering Leadership and a reference for the entire engineering community.

Mission
Your goal is to design and operationalize a technical strategy that uses AI to increase operational efficiency while accelerating our global migration, ensuring:

• Intelligent Maintenance: Implementing AI agents to analyze tickets and crashes, automating resolutions for the global credit card environment.
• Seamless Migration: Leading the coexistence strategy between legacy and new platforms across Brazil, Mexico, and Colombia, ensuring data integrity and a flawless customer experience.
• Technical Excellence: Solving deep architectural bottlenecks in high-scale distributed systems and raising the bar for software design globally.

Core Responsibilities

• Migration Strategy: Define the long-term roadmap for decommissioning legacy systems, starting with the 1-year migration plan for the Colombian market.
• AI-Driven Engineering: Architect and integrate AI solutions (cloud-based agents) to automate infrastructure maintenance and data migration.
• Strategic Partnership: Collaborate with General Managers, PMs, and Staff+ ICs to align technical decisions with business needs across different countries.
• Mentorship & Culture: Mentor senior engineers, fostering a culture of pragmatism, excellence in distributed systems, and the adoption of cutting-edge AI tools.

Challenges & Opportunities

• Navigating Complexity: You will work on high-scale systems supporting millions of transactions where every decision impacts customer limits and billing.
• Modernizing the Core: You have the unique opportunity to make "legacy" systems attractive and efficient by applying AI to remove heavy operational toil.

Core Qualifications (What We’re Looking For)

• Proven Track Record: 15+ years of experience in software engineering, with a focus on large-scale distributed systems.
• Migration Mastery: Proven experience leading critical system migrations and managing coexistence between old and new architectures.
• AI Fluency: A strong interest or practical experience in using GenAI/LLMs to solve engineering productivity and data analysis challenges.
• Platform Mindset: Ability to design reusable APIs and contracts that serve multiple product teams with high reliability.
• Global Communication: Fluent English is required to collaborate across our global hubs (Brazil, US, Mexico, and Colombia).

Platform Engineering Lead builds and operates Rumble’s Internal Developer Platform (IDP) as an internal product that abstracts infrastructure complexity, standardizes golden paths,
and accelerates developer velocity while supporting both DevOps and SRE practices

Key Responsibilities
• Lead the Platform Engineering Team.
• Design, deliver, and continuously evolve the self-service IDP: CI/CD golden paths, IaC templates (Terraform/Ansible), Kubernetes abstractions, pre-configured environments, monitoring
integrations, code repository environment and cloud-resource abstractions for Rumble Cloud.
• Treat the IDP as a product: run user interviews with Development and Production Ops squads, maintain a public roadmap, and measure success by developer velocity metrics (e.g.,
deployment frequency, lead time).
• Embed secure development hygiene, AI-augmented workflows (with mandatory Human-in-theLoop), and Behavior-Driven Development practices into the platform tools.
• Collaborate with the Site Reliability Engineering (SRE) team so the IDP itself is reliable in production (shared ownership model: Platform owns design & evolution; Site Reliability
Engineering (SRE) owns runtime reliability).
• Eliminate toil and duplication across products so cross-functional squads can self-serve deployments, scaling, and observability without reinventing infrastructure.
• Apply Theory of Constraints (TOC) to platform adoption bottlenecks and drive quarterly governance reviews with the Platform Steering Committee.

Required Qualifications
• Strong demonstrable experience building internal platforms or developer-experience tools at
scale.
• Strong background in Kubernetes, GitOps, Infrastructure-as-Code, and self-service portals.
• Product-management mindset (roadmap ownership, customer feedback loops).
• Experience integrating AI tools into engineering workflows while preserving human oversight.
• Familiarity with secure development hygiene (NIST 800-218).
• Cloud-native and automation-first engineering culture.
• Strong leadership

Annual Compensation Range: 

$125,000 - $155,000 USD base + benefits + equity (If based in the United States)

$110,000 - $145,000 CAD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure.

The actual salary offered varies depending on the candidate's skill level and experience. 

This posting refers to an active vacancy within the organization.

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

At Nubank, our Credit Card platform is the core of our global expansion. We are looking for a Staff Engineer to join our platform team as a technical anchor, ensuring our systems remain scalable and flexible as we maintain sustainable growth and innovation in the countries where we currently operate, while also launching into new international markets. You will play a vital role in evolving the architecture of one of our most complex and strategic products.

You will operate within a high-impact triad alongside Product and Management, focusing on long-term technical strategy and system health. As a hands-on technical leader, you will challenge the status quo, propose innovation and solve deep architectural problems, mentor and become a technical reference for our engineering team. Your work will directly enable millions of customers to access financial products via credit card worldwide.

Responsibilities

• Define and drive the long-term vision and strategy for the global architecture of the core credit card platform, ensuring exponential scalability and continuous evolution capability.
• Lead the strategic partnership with Product and Business leadership (C-level and VPs) to shape the medium and long-term technical roadmap and define the strategic OKRs and global impact KPIs.
• Act as a technical and cultural reference, defining the highest standards of engineering excellence, mentoring other Architects and Principal/Staff Engineers, and fostering a culture of innovation and accountability.
• Lead and resolve the most ambitious and high-risk technical challenges, intervening in critical performance or resilience bottlenecks and driving technical execution for solutions with multi-system and multi-country impact.
• Design and oversee the execution of complex system transformations (e.g., core banking migrations, replacement of legacy platforms) ensuring regulatory compliance in multiple jurisdictions and fiscal regimes, proactively mitigating risks.
• Communicate and defend the technical strategy eloquently and convincingly to the executive board and non-technical audiences, translating architecture decisions into business value and competitive advantage.

Required Qualifications

• Principal/Staff Engineer level experience or equivalent with an extensive and demonstrable history in architecting and scaling mission-critical, high-volume, and low-latency systems in global fintech or e-commerce environments.
• Expert proficiency (demonstrated in code and design) in multiple programming paradigms, with significant hands-on experience in functional programming (e.g., Clojure, Scala, Haskell) and reactive/event-based architectures.
• Proven ability to establish and lead the long-term technical strategy for entire platform ecosystems (not just isolated components), influencing the direction of multiple engineering groups.
• Deep and successful experience in navigating and defining the architecture in highly regulated financial environments (e.g., BACEN, FCA, SOX) and designing systems to meet data residency requirements and complex cross-border transactions.
• History of successfully leading and completing large-scale platform transformations (e.g., transition from monoliths to microservices mesh, migration of data centers or clouds), managing risks and operational impact.
• In-depth knowledge of credit card/payment systems design is a significant differential.

Nice to Have

• Experience with Clojure or similar functional languages.
• Proven interest or experience in leveraging AI to optimize engineering workflows.
• Deep domain knowledge of credit card processing or financial ledgers.

Location & Work Model

This role is based on a hybrid model at one of our Nubank offices in Brazil (São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte), the United States (Palo Alto, Durham, Washington D.C. or Miami), or Canada (Toronto).

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need accommodations during the application or interview process, please let us know.

This offer is conditional on meeting all applicable regulatory eligibility requirements and successful completion of background checks.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page [Careers at Nu - Join our team!](https://international.nubank.com.br/careers/)

About the Role

At Nu, data is the foundation that powers our AI and machine learning models, enabling millions of customers to access fair financial products. As a Machine Learning Engineer in AI Core, Data Intelligence, you’ll work across a broad spectrum — from building scalable data infrastructure and feature pipelines that feed our state-of-the-art foundation models to designing, training, and shipping transaction classification models that power critical customer experiences across the company.

You'll work at the intersection of data and applied machine learning, contributing across multiple stages of the ML lifecycle: ingesting and labeling data, training and evaluating models, and helping with deployment and production monitoring through robust quality controls. You’ll partner closely with product, compliance, and ML teams to ensure models are auditable, privacy-aware, and deliver measurable business value.

You'll join a team that manages the data engineering backbone of AI Core, ensuring data is accessible, healthy, and properly tracked across our entire ML ecosystem. Here, you'll combine your expertise in building scalable data systems with your passion for machine learning, creating solutions that enable our models to learn from better, richer data.

You can read more about the work in the AI Core team on our blog: https://building.nubank.com/understanding-our-customers-finances-through-foundation-models/

Key Responsibilities

As a Lead Machine Learning Engineer in AI Core Data Intelligence, you will:

• Design and build scalable data ingestion pipelines that bring new datasets into our AI Core platform, ensuring reliable, efficient data flow from source to model training.
• Implement data quality monitoring and validation systems that catch issues before they impact model performance, maintaining the health of datasets across our ML ecosystem.
• Model new types of data into our foundation models.
• Analyze the impact of new data sources on existing models, conducting experiments to measure performance improvements and guide data acquisition decisions.
• Develop and maintain data preparation workflows that transform raw data into features ready for model training, working with distributed computing frameworks like Ray.
• Tune and optimize machine learning models when new datasets are integrated, applying hyperparameter optimization and evaluating model performance improvements.
• Collaborate with AI Core ML, Platform, and Infra teams to ensure seamless data flow across our ML infrastructure, from ingestion to model deployment.
• Lead technical initiatives that improve our data engineering practices, setting standards for data quality, pipeline reliability, and model-data integration.
• Mentor team members and contribute to hiring activities, helping build a strong and diverse team that drives innovation in AI infrastructure.

Basic Qualifications

• Typically 6+ years of experience in machine learning engineering, data engineering, or related fields with a strong track record of building production data and ML systems.
• Proven experience designing and building data ingestion pipelines at scale, with expertise in distributed computing frameworks (Ray, Spark, or similar).
• Strong background in applied machine learning, including model training, hyperparameter tuning, and performance evaluation.
• Experience analyzing how data changes impact model performance, with the ability to design and run experiments to measure improvements.
• Proficiency in Python for data engineering and ML workflows, with experience working with large-scale data processing systems.
• Solid understanding of data quality principles and experience implementing monitoring, validation, and alerting systems.
• Strong problem-solving skills with the ability to address complex, ambiguous problems requiring coordination across multiple teams.
• Excellent communication skills, capable of explaining technical concepts to both technical and non-technical stakeholders.
• Demonstrated leadership experience, including mentoring team members and contributing to technical decision-making.

Preferred Qualifications

• Experience with MLflow or similar model tracking and versioning systems.
• Knowledge of foundation models, fine-tuning workflows, and transformer architectures.
• Experience with data pipeline orchestration tools (Dagster, Airflow, or similar).
• Background in financial services or fintech, understanding the unique data challenges in this domain.
• Experience working in a fast-paced, high-growth environment with distributed teams.
• Track record of reducing complexity in data systems and improving developer experience for ML teams.
  
  

Our Benefits

• Opportunity of earning equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• Life Insurance and AD&D
• Extended maternity and paternity leaves 
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• Extended maternity and paternity leaves 
• 401K
• Saving Plans - Health Saving Account and Flexible Spending Account
• Work-from-home Allowance
• Relocation Assistance Package, if applicable.

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Locations: This role is available in any of our North American offices (Palo Alto, USA; Miami, USA; Durham, USA; Toronto, CAN)

• You have 4+ years of experience as a Solutions Engineer;
• You have deep knowledge in B2B and B2C Commerce;
• You have experience in pre-selling or selling enterprise SaaS solutions (preferably in the commerce landscape) and technical knowledge for platform and integration models via API;
• You are fluent in English;
  • It's a plus if you are fluent in French, Spanish and/or Portuguese
• You have experience in developing working relationships across all levels of management, internally and externally;
• You can work multi-functionally with colleagues and managers, internally and externally;
• You can translate complexity into action plans and communications;
• You translate the customers' needs into business and architectural solutions;
• You have a tech & math mindset, providing simple solutions to complex problems;
• You have strong communication and presentation skills.
• You have a curious, AI-first mindset to help streamline and eliminate processes within the team;

• Competitive compensation
• Extended parental leave
• Medical insurance
• Ticket restaurant
• Life Insurance
• Legal plan
• Language scholarship: 65% subsidies in English, Spanish, Portuguese courses

ABOUT THE ROLE

The Security Architect plays a critical leadership role in defining and advancing Hut 8’s cybersecurity strategy. This individual will design and implement enterprise security architectures, lead risk management initiatives, guide secure-by-design principles across infrastructure and applications, and serve as a key advisor to senior leadership. This role requires a blend of technical depth, strategic vision, and cross-functional influence to drive security maturity across an environment supporting AI, colocation, and digital asset operations. 

Some of the key responsibilities you should expect are the following: 

• Design and continuously evolve the enterprise security architecture, ensuring scalability and resilience, in alignment with zero-trust  

• Lead vulnerability management efforts, including scanning, prioritization, and coordinated remediation across teams.  

• Own endpoint protection platform (EPP) architecture and effectiveness, overseeing deployment, coverage, and performance of systems like Microsoft Defender for Endpoint.  

• Lead threat modeling, architecture assessments, and security design reviews for new infrastructure, AI, and platform initiatives in alignment with zero trust.  

• Develop and maintain security policies, SOPs, protocols, and training to promote a security-first culture.  

• Own incident response architecture and playbooks; lead incident response efforts.  

• Drive compliance strategy and compliance with SOC 2, ITGC, and other regulatory frameworks.  

• Continuously evaluate and integrate new tools and technologies to mature the security posture.  
• Monitor and analyze security logs and SIEM alerts, developing automation and workflows for detection and response. 

ABOUT YOU

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Cybersecurity, or a related field (or equivalent practical experience).  

• 7+ years of experience in cybersecurity, with 3+ years in security architecture or engineering leadership roles.  

• Strong understanding of secure system design, cloud architecture, and hybrid environments. Working and/or hands on experience with zero-trust architecture and its implementation are a great asset  

• Strong understanding of security frameworks and standards including, but not limited to, CIS, NIST CSF, NIST 800-53, ISO27001, SOC-2  

• Familiarity with compliance regulations such as SOC 2, ITGC, HIPPA and other regulatory frameworks.  

• Strong communication and documentation skills, especially for technical guidance and leadership reporting. Board of Director and C-Level reporting experience are both a plus.  

• Industry certifications such as CISSP, CISM, or OSCP; cloud security certifications (e.g., AWS Security Specialty, Azure Security Engineer) are a plus.  

• Hands-on experience with FortiGate, Cisco firewalls, VPN, and cloud-native security tools.  

• Deep knowledge of security protocols (IPsec, TLS/SSL), encryption standards, IDS/IPS, and secure network architecture.  

• Proven ability to work with and enhance SIEM systems.  

• Experience leading incident response, forensic investigations, and post-mortem analysis.  
• Proficient in scripting to automate security workflows is a plus. 

ABOUT THE WORK ENVIRONMENT

This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.