Key Responsibilities:

• Drive the vision for the team, ensuring the team's work directly contributes to the company's goals
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users
• Provide visibility to senior leadership regarding the team's global impact
• Partner with stakeholders across the company to shape the future of the content ecosystem and personalization at Pinterest

Requirements:

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or equivalent experience
• Experience leading and working on a large-scale production recommendation, e-commerce, search, or ads systems that are based on state-of-the-art machine learning and big data technology
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
• Strong focus on product impact and user experience within a consumer-focused environment
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions

Nice to Have:

• Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

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At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love. We're looking for a technical leader and engineering manager to help lead the search backend team.

The search backend team is responsible for major areas of the search engine, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. The team also works on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.

Responsibilities

• Lead the search backend team to develop and maintain a scalable and efficient search engine
• Collaborate with other engineering teams to bring superior search experience to users
• Drive the vision for the team and provide visibility for senior leadership into the team's global impact
• Partner with stakeholders to expand impact across the company
• Mentor and grow managers, leaders and engineers on the team

Requirements

• Experience leading and working on a large-scale production search, recommendation or ads systems
• Applied machine learning experience is strongly preferred
• Ability to drive the roadmap and directions of scalable production quality systems end-to-end
• A knack for product and impact on users of a consumer product
• 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience
• Bachelors degree in computer science or related technical field, or equivalent experience
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

In-Office Requirement Statement

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

Relocation Statement

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE #LI-DM57

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At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20+ languages across our 50+ nationalities, creating a sense of belonging for all.

Join us in an exhilarating opportunity working with a determined and dynamic team of Solution Engineers, focused on North America. As a pivotal member of our regional force, you'll help drive Solution Engineering priorities across financial services industry vertical. Your influence will resonate in every facet of our commercial strategy, collaborating closely with regional peers in alliances, sales, marketing, and product management.

We seek an individual with profound technical and business acumen, adept at demystifying complex concepts with clarity and precision. You'll dazzle with presentations, deliver captivating product demos, and dive deep into client opportunities, leaving a lasting impression at industry events and webinars. Become the authoritative voice for our solutions and technology in the region, forging trust with executives through relatable dialogue.

In the Quantexa Solution Engineering (SE) team, you'll spearhead the initial connection between prospect organizations and the Go to Market team (GTM), setting the cornerstone for their journey. We seek an individual with profound technical and business acumen, adept at de-mystifying complex concepts with clarity and precision. You will:

• Uncover customer pain points: Use targeted, precise solution engineering techniques to identify the real challenges our prospects.
• Design and deliver tailored solutions: Create compelling presentations and deliver impactful product demos—adapting depth and content to resonate with each audience.
• Own the POC lifecycle: Manage the end-to-end proof of concept process. Define and align on success criteria, showcase sprint outcomes that clearly demonstrate value, and generate excitement around our solution.
• Ensure a smooth handover: Before transitioning to the delivery team, confirm a shared understanding of the customer’s pain and how the Quantexa solution addresses it.
• Be the face of Quantexa: Represent our brand with pride—whether engaging with prospects, supporting customers, or speaking at industry events and webinars.

Are you ready to shape the future of Solution Engineering with us? Join our ranks and be part of this extraordinary journey!

Probe and grasp prospect pain points, showcasing Quantexa's transformative solutions. Partner closely with Sales Directors to shape the opportunity strategy, qualify deals and influence account planning. Cultivate trust as the go-to advisor to clients, big and small, crafting compelling Value Engineering strategies. Craft tailored Proofs of Concept alongside the rest of GTM for maximum impact that capture the customers business problems. Lead the process of ‘Discovery’ and then ‘Solutionize’ with our prospects, to iterate and hone in on the right joint solution for all parties. Collaborate seamlessly with Quantexa's commercial teams, product experts and SMEs, embodying our core value of being a team player. Flawlessly lead product demos and presentations, qualify opportunities and manage compliance statements. Elevate Quantexa's profile through industry events such as SIBOS, ACAMS and thought leadership; and Provide feedback to Product and Engineering teams based on market and customer input to help shape roadmap opportunities.

Requirements

• Extensive experience in technology as a bridge between business and technical users /stakeholders in a commercially focused technical sales role e.g. Presales, Solution Engineering, Technical Sales, Solution Consulting, Product Management etc.
• Experience working with large banks or financial institutions including familiarity with buying cycles in regulated environments.
• Demonstrate technological mastery in data-powered, analytical solutions like Entity Resolution, Network Generation or Advanced Analytics.
• Proven track record of working in data management ecosystem with exposure to tools, technology and organizational data estate in world of analytics and AI.
• Ability to present to and excite senior leaders in Financial Services, leveraging technical acumen and deep knowledge of the banking ecosystem and establish trust and rapport with prospects.
• Command robust knowledge in technology and architecture particularly within the realm of enterprise software, such as big data technology, Elastic /OpenSearch, on-prem/on cloud deployment of open architectures.
• You’re all about the customer, and you’ll engage and captivate audiences of all sizes with an innate ability to simplify intricate concepts.
• Ability to travel across North America (25 – 40%) depending on customer needs and location; and
• Boast domain expertise across various realms of financial services (Risk, Anti-Financial Crime, Anti-fraud, AML, KYC, CRM) or in more general data management concepts (data quality, data warehousing, data fabric, etc.)

Nice to have:

• Experience working with scale-up companies; and
• Experience to Quantexa’s partner ecosystem (AWS, Azure, GCP, Databricks, Elasticsearch).

Benefits

We offer:

• Competitive base salary of $160-200k
• Company bonus
• 100% 401K match up to 5%
• Comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being
• Tax-advantageous benefits, such as commuter benefits, healthcare, and dependent care
• Competitive annual leave, parental leave, PTO, and observed holidays
• Well-being benefits, such as the Calm App and Wellbeing 1/2 days off
• Continuous Training and Development, including access to Udemy Business
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Employee Referral Program
• Team Social Budget & Company-wide Socials

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You'll be joining the Applications team, which is an Engineering function within Quantexa's R&D department that is focused on internally building real-world applications of the Quantexa Platform.

This function enables demonstrations of the product and develops SaaS offerings, whilst also testing and refining new Platform features before they are deployed by clients. The function develops and releases its own tools that feed into these internal applications and are also packaged and released to help standardize and accelerate all Quantexa deployments.

It encompasses four distinct sub-teams:

Data Engineering Accelerators

• Developing Quantexa's libraries for cleansing, parsing and standardising data used in entity resolution
• Finding efficiency/performance improvements through big data testing and building performance tooling
• Owning best practices in entity resolution and network building

Data Feeds

• Building standardised and reusable code for processing various third party/open source data sets
• Managing an internal data lake for the provision of this data by other teams for testing and analytics
• Owning general best practices for ingesting and processing data to get it ready for use in the Quantexa Platform, including pipelines and scheduling

Demos

• Developing, deploying and maintaining all Quantexa demos, showcasing the different use cases for the Quantexa Platform
• Owning the Quantexa Trial platform, for prospective Quantexa clients to see the product in action using real data provided by Data Feeds
• Building tools to enable solution owners and sales to create their own custom demos

SaaS

• Building Quantexa's emerging SaaS offering, a cloud hosted, standardized deployment of the Quantexa Platform
• Targeting mid-market banks in the US for Retail AML initially, providing them with a cost-effective Quantexa solution, then expanding in future to more use cases and geographies
• Implementing cutting edge features of the Quantexa Platform ensuring SaaS customers always on the latest and greatest of Quantexa

Requirements

• Data processing/ETL pipelines
• Analysing and examining real and varied data
• Full stack development, but with a heavy focus on the data processing/ETL side
• Solving difficult problems with efficient, resilient, high impact code
• Working in the cloud with production-grade systems
• Defining best-practices and sharing expertise you’ve developed
• Working in a fast moving, Agile environment
• Growing and thriving within one of the UK’s fastest growing scale-ups

Experience in the following would be beneficial:

• A strong coding background, ideally in Scala or otherwise in a relevant language that will allow you to learn Scala quickly (e.g. Java/Python)
• Big data, either from a software deployment/implementation or a data science perspective
• Working with big data technology, ideally Spark but others will also be useful such as Airflow or Elasticsearch
• Working in an Agile environment
• Building data processing pipelines for use in production batch systems, including either traditional ETL pipelines and/or analytics pipelines
• Manipulating data through cleansing, parsing, standardising etc, especially in relation to improving data quality/integrity
• Building and deploying SaaS products

Benefits

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Workplace Nursery Scheme
• Team's Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog-friendly Offices

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Do you ever have the urge to do things better than the last time? We do. And it's this urge that drives us every day. Our environment of discovery and innovation means we're able to create deep and valuable relationships with our clients to create real change for them and their industries. It's what got us here – and it's what will make our future.

As a Backend Software Engineer at Quantexa, you'll play a key role in shaping one of the most critical components of our Decision Intelligence platform: Decision Systems. The Decision Systems team is responsible for turning complex, interconnected data into meaningful insights — helping global organisations detect patterns, uncover risks, and make smarter decisions.

Key Responsibilities

• Building new tooling that allows users to configure detection logic more easily and effectively.
• Enhancing the platform so that existing Scores can be applied across an expanding range of scenarios.
• Improving system performance to ensure even the largest datasets can be analysed efficiently.

Requirements

• Strong commercial experience in Java or another JVM-based language.
• A willingness — and enthusiasm — to learn Scala and adopt functional programming practices.
• Pride in designing, building, and delivering well-engineered, high-quality solutions to complex problems.
• A big-picture approach to problem-solving, ensuring your solutions work effectively within the wider system.
• Experience across the full engineering lifecycle, from design and implementation through to testing and deployment.

Benefits

• Competitive salary and Company Bonus.
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events.
• Pension Scheme with a company contribution of 6% (if you contribute 3%).
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!

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Do you ever have the urge to do things better than the last time? We do. And it's this urge that drives us every day. Our environment of discovery and innovation means we're able to create deep and valuable relationships with our clients to create real change for them and their industries.

Opportunity

As a Scala Engineer at Quantexa, you'll play a key role in shaping one of the most critical components of our Decision Intelligence platform: Decision Systems. The Decision Systems team is responsible for turning complex, interconnected data into actionable insights — helping global organisations detect patterns, uncover risks, and make smarter decisions.

Role Details

Responsibilities

• Building new tooling to allow users to configure detection logic more easily and effectively
• Enhancing the platform so that existing Scores can be applied across a wider range of scenarios
• Improving the performance of the system so even the largest datasets can be analysed efficiently

Requirements

• Take pride in designing, building and delivering high quality well engineered solutions to complex problems
• Take a big picture approach to solving problems, taking care to ensure that the solution works well within the wider system
• Commercial Scala experience or Functional Programming experience with languages such as Java
• Have experience of the full engineering life cycle, from design and implementation through to testing and deployment
• Passion and drive to grow within one of the UK's fastest growing scale-ups

Benefits

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription
• Workplace Nursery Scheme
• Team's Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog-friendly Offices

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