Candidates should possess 2-4 years of experience as a backend engineer, along with working knowledge of programming languages such as Go, Python, Java, or Node.js, and experience with relational databases like MySQL. Familiarity with microservices architecture is also required, alongside strong coding and testing skills.
Candidates should possess 5+ years of experience in software engineering with a proven track record of shipping successful projects, along with experience with MySQL or other relational databases and working with microservices. Strong coding, testing skills, and system design skills are required, as well as demonstrated leadership skills and the ability to mentor and guide junior engineers, and experience partnering with operations, product, design, and data science.
Candidates should possess 5+ years of experience in software engineering with a proven track record of shipping successful projects, experience with MySQL or other relational databases, and experience working with microservices. They should also have excellent coding, testing, and system design skills, along with prior experience in cross-functional collaboration, communication, and project management. Demonstrated leadership skills and the ability to mentor and guide junior engineers are also r…
Candidates should possess 8+ years of experience with at least 5 years in product marketing or a similar GTM role at a B2B software company, demonstrating a strong understanding of enterprise sales strategies. They should also have excellent written communication skills, particularly the ability to develop marketing and sales content that resonates with lenders, and a desire to engage deeply with cross-functional partners across Revenue, Product, Design, and Engineering to understand how Plaid’s…
Candidates should possess a Bachelor's degree in Computer Science, Engineering, or a related field, and have at least 5 years of experience in data engineering, with a strong understanding of data warehousing concepts and data modeling. Proficiency in SQL and Python is required, along with experience working with data pipeline tools such as DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool. Familiarity with data governance and data quality principles is also desired.
Candidates should possess 5+ years of industry experience in a product-focused Data Science role, demonstrating deep familiarity with SQL and data visualization tools, and experience conducting large-scale A/B experiments. They should also have a strong understanding of the AWS stack and familiarity with modern machine learning techniques such as classification, clustering, optimization, deep neural networks, and natural language processing, along with a proven ability to tailor solutions to bus…
Candidates should possess at least 5 years of experience in training and serving AI/ML models in a production environment, with experience in building and working with data-intensive backend applications within large distributed systems. They should be able to code and iterate independently using tools like Python, Spark, Jupyter notebooks, and standard ML libraries, and demonstrate a willingness to take ownership and drive projects to business impact. Experience with data analytics and data eng…
Candidates should possess 5+ years of industry experience in a product-focused Data Science role, demonstrating deep familiarity with SQL and data visualization tools, and experience conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations. They should also have a familiarity with the AWS stack and an understanding of modern machine learning techniques, such as classification, clustering, optimization, deep neural network, and natural language…
Candidates should possess 5+ years of experience in training and serving AI/ML models in a production environment, along with experience in building and working with data-intensive backend applications within large distributed systems. They should demonstrate the ability to code and iterate independently using tools such as Python, Spark, Jupyter notebooks, and standard ML libraries, and take pride in driving projects to business impact. Experience with data analytics and data engineering is a p…
Candidates should possess excellent coding and testing skills, experience designing and implementing large-scale backend systems, and experience as a project lead, owning work end-to-end for two or more quarters. It is also desirable to have strong communication skills and experience working in the Credit/Lending space, along with familiarity with Python, Golang, SQL, and/or AWS.
Candidates should have 2+ years of experience as a front-end engineer or web developer on highly interactive experiences, a high attention to detail and strong design sense, experience in both static and server-side websites, proficiency with Javascript, React, or other modern UI frameworks/libraries, and familiarity with design systems and component-based web design.
Candidates should possess 2+ years of engineering management experience with significant experience as a software engineer, along with experience owning a production product and working with a product manager or business partners to drive business impact. They should also have deep experience with full-stack architecture and systems, and a track record of building and growing high-performing engineering teams.
Candidates should have 2-3 years of experience in sales at an early-stage B2B SaaS company. Experience selling a technical early-stage product is preferred. Strong communication skills are required to engage both technical and non-technical audiences, and candidates must be detail-oriented with excellent time management skills.
Candidates should be experienced backend engineers who have built AI products during the OpenAI and Anthropic era, particularly in text- and data-heavy applications. AI observability experience is essential, along with a clear perspective on what constitutes a great AI-powered product. Candidates should be self-driven, impact-focused, and thrive in a fast-moving environment, measuring success by user impact rather than just technical elegance. A data science background that aids in fine-tuning A…
Candidates should have experience in content marketing, particularly in building content engines from the ground up. A strong understanding of SEO and experience in running experiments end-to-end is essential. Previous work in content marketing for an early-stage B2B product, especially targeting a technical audience, is preferred. Attention to detail and the ability to thrive in ambiguity are crucial traits for success in this role.