Software Engineer, Discovery (Feed) Job at Whatnot (New York, NY)

New

Software Engineer, Search & Discovery Platform

We are looking for intellectually curious, highly motivated individuals to be fo...

Location

United States , San Francisco; Los Angeles; New York; Seattle

Salary:

170000.00 - 230000.00 USD / Year

Whatnot

Expiration Date

Until further notice

Requirements

5+ years of experience
Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience
Industry experience in building and scaling a platform to handle high volume / throughput applications
Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams
Experience in machine learning fields (e.g. Recommendations, Content Understanding and Search)
Expert at designing and building scalable and maintainable backend systems
Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark, OpenSearch, ElasticSearch, Lucene, SOLR
Experience with concurrent programming patterns across distributed systems (AsyncIO python preferred), and optimizations / profiling / observability associated with them
Experience managing cloud technologies (AWS or Google Cloud) and comfort with infrastructure-as-code approaches (e.g. Terraform)

Job Responsibility

Build the services and infrastructure to enable advanced recommendation systems solutions for real-time, dynamic feeds
Build a scalable, stable, low latency discovery experience
Partner closely across the machine learning, platform, and product engineering teams to utilize models to solve discovery problems
Contribute scalable solutions across various serving stacks at the feed, search, machine learning service, and Discovery application layers
Define and advance our technical approach to scalable recommendation systems

What we offer

Generous Holiday and Time off Policy
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement

Fulltime

Solutions Architect

Bloomreach is building the world’s premier agentic platform for personalization....

Location

United Kingdom

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

BS in Information Systems / Computer Science, or equivalent degree
3+ years of Commerce experience (as a system integrator, in-house engineer, or in sales of a Commerce solution)
3+ years of experience in technical positions (software engineering, development, solution engineering) working in complex IT environments
Hands-on expertise in the following technologies: Java, PHP, Python, HTML, JavaScript, CSS
Expertise in commerce search and discovery, including indexing and feed pipelines, catalog/taxonomy design, facets/filters, boosting/re-ranking, and analytics-driven A/B testing
Hands-on technical fluency with Java / Python, HTML, JavaScript, CSS, and REST APIs, with practical knowledge of performance, caching, and integration trade-offs
API-first and data-focused solutioning, covering data modeling, event pipelines/pixel strategies, and tag management
Presales excellence: consultative discovery, stakeholder mapping, technical objection handling, and translating technical depth into executive-friendly narratives
Strong understanding of AI, ML, LLMs, and GenAI concepts, including how they apply to modern digital commerce and customer experiences
Collaboration superpowers: you align AEs, SCs, Partners, and Services around an evaluation path everyone trusts

Job Responsibility

Be a subject matter expert for the Bloomreach Discovery platform for both technical and business audiences
Own all technical elements (technical discovery, demo prep, execute technical POCs) for Discovery sales cycle, from scoping and success criteria to hands-on setup, validation, analysis, and executive readouts
Lead technical discovery and solution design: map requirements, design feasible integration approaches, and document a clear high-level architecture (HLD), with risks/assumptions and measurable outcomes
Design and validate data flows for Discovery: catalog ingestion and modeling, event/pixel strategy, API usage patterns, caching/performance considerations, and search/relevance configuration guidance
Partner with Solution Consultants to craft compelling technical narratives and tailored demos that align to customer KPIs, buying criteria, and MEDDPICC qualification
Co-scope with agency/SI partners during presales: align roles and responsibilities, apply quality/peer-review gates, and ensure a clean handover to Services or partner delivery teams
Drive excellent handoffs: package HLDs, scope/estimates, RACI, and risk/assumption logs for Services
remain engaged to de-risk delivery where needed
Contribute reusable assets (templates, checklists, patterns) that speed future evaluations
mentor SCs on technical components of Discovery opportunities

What we offer

A great deal of freedom and trust
Flexible working hours
Work virtual-first with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Communication coach available
Leader Development Program
$1,500 professional education budget annually
Employee Assistance Program with counselors

Pre-Sales Solution Engineer

We are seeking a highly skilled Enterprise focused Pre-Sales Solution Engineer t...

Location

Salary:

Not provided

LakeFS

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field
5+ years of experience in a technical pre-sales or solution engineering role, preferably in the software industry
Excellent verbal and written communication skills, with the ability to deliver technical presentations to both technical and non-technical audiences
Hands-on experience with Kubernetes and containerized environments
Experience leading client workshops, sales enablement sessions, and technical training
Ability to work independently as well as collaboratively across sales, product, and engineering teams
Excellent problem-solving skills and a creative approach to architecting solutions
Experience in technical sales of open source products is preferred
Strong understanding and hands-on experience in the Data & AI ecosystem, including: Data lake and data warehouse technologies (e.g., S3, Delta Lake, Iceberg, Hive, Glue, Snowflake)
Data processing frameworks (e.g., Spark, Databricks, Flink, Trino, Presto)

Job Responsibility

Own the technical win from discovery through demo, architecture design, pilot/POC, security review, and a clean handoff to Customer Success
Design and present tailored demos that showcase branch‑based workflows, reproducible experiments, schema‑safe changes, and instant data rollback
Scope and execute pilots with clear success criteria
create sample repos, notebooks, and automation (Spark/Databricks jobs, Airflow DAGs, CI pipelines) that prove value quickly
Build reference architectures for lakeFS OSS and Cloud across AWS/Azure/GCP
document IAM roles, private networking, scaling, GC/performance tuning, and disaster recovery
Answer deep technical questions as a lakeFS SME
Handle RFPs and security questionnaires
map controls to customer requirements and recommend compliant deployment patterns
Partner with sales to quantify business impact (risk reduction, developer velocity, storage efficiency) and co‑create the ROI/TCO narrative with champions

New

Solutions Architect

As a Solution Architect in the Field Engineering team, you will span both techni...

Location

United States , Austin; New York City; San Francisco

Salary:

176000.00 - 301000.00 USD / Year

Vercel

Expiration Date

Until further notice

Requirements

Significant experience in a customer‑facing technical role (solutions architect, sales engineer, platform architect, Agency Software Engineer) working with modern web or cloud platforms
Strong hands‑on skills with JavaScript/TypeScript and modern web frameworks, ideally including Next.js
Understanding of web performance, caching, networking, and security fundamentals, ideally AI/LLM powered applications and Agentic workflows
Comfortable discussing business outcomes with executives and implementation details with developers
Track record of owning complex technical projects, juggling multiple stakeholders, and delivering on time in fast‑moving environments
Thrives in collaborative field teams, enjoys mentoring others, and values clear, concise communication and documentation
Familiar with cloud platforms (such as AWS, Azure, or GCP) and how SaaS and edge platforms integrate into broader enterprise architectures
Empathy for developers and a passion for great developer experience
Bonus if you have experience of building AI powered applications, or Agentic workloads, ideally leveraging tooling such as the AI SDK

Job Responsibility

Partner with Sales to lead technical discovery, qualify customer use cases, and shape solution strategy for key opportunities
Design target architectures for modern Agentic workflows, and AI and web applications on Vercel
Create and deliver tailored demos, technical presentations, and workshops
Own and run proofs of concept and pilots end‑to‑end
Act as lead architect post‑sale for strategic accounts, guiding onboarding, reference implementations, migration patterns, and best practices
Proactively engage with customers on performance, reliability, and cost optimization
Collaborate with other members of the Field Engineering Team to standardise playbooks, reusable assets, and patterns
Respond to and coordinate security, compliance, and architecture reviews
Capture recurring themes, patterns, and gaps from the field and feed them back into Product and Engineering roadmaps
Contribute to internal enablement and external content (reference architectures, example repos, talks, and blog posts)

What we offer

Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

Fulltime

New

Solutions Architect

As a Solution Architect in the Field Engineering team, you will span both techni...

Location

Australia

Salary:

Not provided

Vercel

Expiration Date

Until further notice

Requirements

Significant experience in a customer‑facing technical role (solutions architect, sales engineer, platform architect, Agency Software Engineer) working with modern web or cloud platforms
Strong hands‑on skills with JavaScript/TypeScript and modern web frameworks, ideally including Next.js
Understanding of web performance, caching, networking, and security fundamentals, ideally AI/LLM powered applications and Agentic workflows
Comfortable discussing business outcomes with executives and implementation details with developers
Track record of owning complex technical projects, juggling multiple stakeholders, and delivering on time in fast‑moving environments
Thrives in collaborative field teams, enjoys mentoring others, and values clear, concise communication and documentation
Familiar with cloud platforms (such as AWS, Azure, or GCP) and how SaaS and edge platforms integrate into broader enterprise architectures
Empathy for developers and a passion for great developer experience
Bonus if you have experience of building AI powered applications, or Agentic workloads, ideally leveraging tooling such as the AI SDK
Bonus if you have production experience deploying and operating Next.js or other modern frontend frameworks on Vercel or similar platforms

Job Responsibility

Partner with Sales to lead technical discovery, qualify customer use cases, and shape solution strategy for key opportunities
Design target architectures for modern Agentic workflows, and AI and web applications on Vercel, including frontends, APIs, data and edge services, and integrations with headless and composable ecosystems (CMS, commerce, payments, media, analytics)
Create and deliver tailored demos, technical presentations, and workshops that clearly articulate Vercel’s value and differentiate our platform
Own and run proofs of concept and pilots end‑to‑end: define success criteria, guide implementation, remove technical blockers, and ensure executive‑level outcomes are documented
Act as lead architect post‑sale for strategic accounts, guiding onboarding, reference implementations, migration patterns, and best practices for building and operating on Vercel
Proactively engage with customers on performance, reliability, and cost optimization, using metrics like Core Web Vitals, Lighthouse, and observability data to drive continuous improvement
Collaborate with other members of the Field Engineering Team to standardise playbooks, reusable assets, and patterns that scale across customers and regions
Respond to and coordinate security, compliance, and architecture reviews, partnering with internal specialists on areas like data protection and regulatory requirements
Capture recurring themes, patterns, and gaps from the field and feed them back into Product and Engineering roadmaps as the technical Voice of the Customer
Contribute to internal enablement and external content (reference architectures, example repos, talks, and blog posts) that help developers be successful on Vercel

What we offer

Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

Fulltime

Solutions Architect

As a Solution Architect in the Field Engineering team, you will span both techni...

Location

Germany; United Kingdom , Berlin; London

Salary:

Not provided

Vercel

Expiration Date

Until further notice

Requirements

Significant experience in a customer‑facing technical role (solutions architect, sales engineer, platform architect, Agency Software Engineer) working with modern web or cloud platforms
Strong hands‑on skills with JavaScript/TypeScript and modern web frameworks, ideally including Next.js
Understanding of web performance, caching, networking, and security fundamentals, ideally AI/LLM powered applications and Agentic workflows
Comfortable discussing business outcomes with executives and implementation details with developers
Track record of owning complex technical projects, juggling multiple stakeholders, and delivering on time in fast‑moving environments
Thrive in collaborative field teams, enjoy mentoring others, and value clear, concise communication and documentation
Familiar with cloud platforms (such as AWS, Azure, or GCP) and how SaaS and edge platforms integrate into broader enterprise architectures
Empathy for developers and a passion for great developer experience
Bonus if you have experience of building AI powered applications, or Agentic workloads, ideally leveraging tooling such as the AI SDK
Bonus if you have production experience deploying and operating Next.js or other modern frontend frameworks on Vercel or similar platforms

Job Responsibility

Partner with Sales to lead technical discovery, qualify customer use cases, and shape solution strategy for key opportunities
Design target architectures for modern Agentic workflows, and AI and web applications on Vercel, including frontends, APIs, data and edge services, and integrations with headless and composable ecosystems (CMS, commerce, payments, media, analytics)
Create and deliver tailored demos, technical presentations, and workshops that clearly articulate Vercel’s value and differentiate our platform
Own and run proofs of concept and pilots end‑to‑end: define success criteria, guide implementation, remove technical blockers, and ensure executive‑level outcomes are documented
Act as lead architect post‑sale for strategic accounts, guiding onboarding, reference implementations, migration patterns, and best practices for building and operating on Vercel
Proactively engage with customers on performance, reliability, and cost optimization, using metrics like Core Web Vitals, Lighthouse, and observability data to drive continuous improvement
Collaborate with other members of the Field Engineering Team to standardise playbooks, reusable assets, and patterns that scale across customers and regions
Respond to and coordinate security, compliance, and architecture reviews, partnering with internal specialists on areas like data protection and regulatory requirements
Capture recurring themes, patterns, and gaps from the field and feed them back into Product and Engineering roadmaps as the technical Voice of the Customer
Contribute to internal enablement and external content (reference architectures, example repos, talks, and blog posts) that help developers be successful on Vercel

What we offer

Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

Fulltime

New

Ai Engineer, Applied Ml

Perplexity is looking for an Applied ML Engineer to design, build, and iterate o...

Location

United States , San Francisco; New York City; Palo Alto

Salary:

210000.00 - 385000.00 USD / Year

Perplexity

Expiration Date

Until further notice

Requirements

5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products
Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking
Strong software engineering skills (Python, production-quality codebases, collaborative development)
In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement
Proven collaborator and communicator
excels in high-velocity, cross-functional teams
Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI
BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience)

Job Responsibility

Apply state-of-the-art ML and LLM techniques to solve problems spanning: Personalization (LLM memory, context summarization, retrieval and ranking)
Query Understanding (intent modeling, rewriting, agentic decomposition)
Content Discovery (feed ranking and surfacing)
Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact
Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement
Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements
Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle

What we offer

equity
health
dental
vision
retirement
fitness
commuter and dependent care accounts

Fulltime

Software Engineer, Marketplace Integrations

Imagine joining a company where collaboration feels natural and people genuinely...

Location

Norway , Trondheim

Salary:

Not provided

Sportradar

Expiration Date

Until further notice

Requirements

Solid engineering background with experience building APIs, services, or data integrations
Proficiency with object-oriented programming and modern software craftsmanship practices
Solid understanding of distributed systems, cloud-native services, and event-driven or streaming architectures
Ability to troubleshoot complex issues and ensure high service reliability and data quality
Clear and effective communication skills
Bachelor's degree in computer science or equivalent

Job Responsibility

Lead technical discovery with suppliers, understand APIs, schemas, and authentication flows
Design and build scalable integration components (services, adapters, pipelines) in collaboration with internal engineering teams
Guide suppliers through onboarding and validate end-to-end functionality
Set and enforce standards for API reliability, schema stability, and error handling, contributing to SLAs and operational best practices
Validate and test data feeds before and after launch for accuracy and completeness
Monitor production performance, troubleshoot issues, and lead remediation efforts when problems arise
Influence integration architecture, patterns, and best practices
Identify opportunities to automate onboarding, testing, and monitoring
Provide technical insights that shape supplier prioritisation and product roadmaps

What we offer

A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding
Flexibility to manage your workday and tasks with autonomy
A balance of structure and autonomy to tackle your daily tasks
Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants
Global Employee Assistance Programme
Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience)
Online training videos
Flexible working hours

Fulltime

Software Engineer, Discovery (Feed)

Whatnot

Location:
United States , New York, NY ▼
Los Angeles, CA
Seattle, WA
San Francisco, CA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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Location:United States , New York, NY ▼Los Angeles, CASeattle, WASan Francisco, CA

Category:IT - Software Development

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Job Posted:February 18, 2026

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