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Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always. As a Staff Software Engineer, you will play a key role in the entire engineering lifecycle from design, documentation, build, test and maintain our SmithRx product suite. You will advocate and bring best practices/methodologies, coding standards and large-scale system design perspectives to our team. We need our engineers to be versatile and driven, display leadership and ownership qualities, and be enthusiastic to take on new challenges as we continue to push technology forward. What you will do: • Focus on back-end architecture; designing, developing and maintaining SmithRx product features using various languages such as Golang, JavaScript/Typescript, Node, GraphQL, and SQL (amongst others), while leveraging full CI and CD to iterate quickly, • Collaborate with stakeholders and technical leads to understand functional and technical requirements to produce high-quality, scalable software and services, • Provide scope and risk estimates for system and feature builds by building technical design documentation, • Continually apply software development best practices, design patterns, testing, automation, tools and technologies., • Leverage AWS technologies, like Lambda and Fargate, to handle various types of jobs and batch processing, • Troubleshoot production issues by performing triages for issues that arise, assessing the impact, creating and executing a plan for short-term and long-term mitigation, and performing root cause analysis to prevent future occurrence of issues., • Coach/mentor junior team members in their assigned engineering projects by reviewing and providing feedback on code developed, and performing design and code reviews, • Work with senior leadership to turn technical vision into a tangible roadmap every quarter, • BS or advanced degree in computer science or applicable experience, • 8-12 years of software development experience working on server-side applications, specifically around API servers, third party integrations and data processing, • Experience at a high-growth startup a plus, • Expertise in a compiled language such as Go, Java or Kotlin is required, • Proficiency with relational databases such as PostgreSQL, including schema design, SQL tuning, and database monitoring is required, • Demonstrated experience designing and implementing scalable APIs; a solid understanding of design patterns, database design, and testing best practices., • Working knowledge of GraphQL APIs, CI and CD pipeline, AWS platform, Docker, and Kubernetes a plus, • Positivity; non-dogmatic, team-first attitude, • Flexibility; someone who is responsive and comfortable with ambiguity, • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations

Job DescriptionCareer Renew is recruiting for one of its clients a Solutions Engineer - AI - this is an onsite role in New York. Salary range: 170-200K USD base (240-280K OTE) plus benefits plus equity. We started by building infrastructure to run CI workloads really fast. Our first product helps companies run GitHub Actions substantially faster and cheaper by owning and operating our own global fleet of bare-metal machines rather than renting generic cloud VMs. Today, we orchestrate tens of millions of Firecracker VMs each month, running CI for 2,000+ companies and hit ~$10M in ARR in less than 2 years. What You’ll Do Partner with Sales to secure the technical win * Lead technical discovery, scoping sessions, and qualification calls with engineering, DevOps, and platform teams. * Deliver high-impact product demos, whiteboard sessions, and tailored technical deep dives. * Design and execute POCs, including benchmarking CI performance, optimizing pipeline architecture, and validating ROI models. Act as a trusted technical advisor to customers * Build credibility with architects, engineering managers, SREs, and CTO-level stakeholders. * Translate engineering pain into clear solution designs using Blacksmith’s CI cloud. * Guide customers on best practices for CI modernization, ephemeral compute, cost optimization, and migration off hyperscalers. Solve technical challenges in real time * Assist customers in debugging CI performance bottlenecks, runner reliability issues, or pipeline misconfigurations. * Help teams optimize GitHub Actions at scale and adopt ephemeral runners effectively. * Maintain deep technical understanding of Blacksmith’s architecture and how it integrates into complex enterprise environments. Influence product direction * Capture customer feedback and use cases, advocating for features and improvements that accelerate adoption. * Collaborate with Engineering and Product to validate requirements, shape roadmap decisions, and improve usability for large-scale CI teams. Support expansion and long-term success * Participate in strategic account planning with AEs, CSMs, and leadership. * Identify technical expansion opportunities within existing customers. * Ensure smooth handoff from evaluation to onboarding, working closely with post-sales teams. Requirements: 4 - 8 years of experience as a solutions engineer selling highly technical products to engineers (Mandatory)Demonstrated track record selling to engineers and driving highly technical sales processes (e.g., cloud infrastructure, security tools, data platforms, dev tools) (Mandatory)Experience in a high-growth environment (pre-IPO start-ups, strike teams in larger orgs; ideally scaling with the business) and genuinely excited to build from scratch (Mandatory)Strong commercial instincts and direct business impact, rapid growth trajectory, sold multiple products within a suite, former software engineer, active GitHub (Nice-to-have)In-depth knowledge of how an engineering team runs CI/CD pipelines or thinks about compute and ability to diagnose a customer's current set up (Mandatory)Streamlined own workflow with agentic AI tooling (Nice-to-have)Ability to communicate effectively with engineers as peers rather than as salespeople (Mandatory)Why you should join us * Growth That Compounds, Not Just Accumulates – we've gone from 0 to 5,000+ customers and $10M+ ARR in under two years – off the back of organic channels alone, before a sales team even existed. Since the start of this year, the business has nearly tripled in revenue, adding eight-figure ARR in a single quarter with a team of 20 people. This is not steady, linear growth; it is a business accelerating at a rate that most startups never see. For candidates who want their career trajectory tied to a genuine rocket ship, the timing here is rare. * The Hottest Market Intersection, Full Stop – Compute and AI infrastructure are the defining markets of this moment. Blacksmith sits precisely at that intersection, and is not just riding the wave – it is actively building the next generation of agentic developer tooling that does not yet exist anywhere else. Engineers here get to work on products that are making their own market, not competing in one. * Trusted by Engineers Who Set the Bar – our customers include Mercury, Descript, and Supabase – engineering organisations that are themselves benchmarks for technical quality and product craft. This is not a product being sold on promises; it is one that the most discerning engineering teams in the industry have already chosen. As such, this Solutions Engineer is not a sales support function sitting behind that relationship – they are the technical voice in the room, operating engineer-to-engineer with some of the most demanding teams in the world. The role carries real weight and real visibility from day one. * Build the Function, Then Lead It – This is the first Solutions Engineer in our company. That means working directly with the Head of Sales and the three co-founders to define what best-in-class looks like from the ground up. As the business scales – and it is scaling quickly – this will not remain a one-person function. The person who builds it will be first in line to lead it. * Enterprise Velocity You Will Not Find Elsewhere – A 14-day average sales cycle with $200K average deal sizes from day one, expanding into upper six- and lower seven-figure ACVs. For a Solutions Engineer, this is an extraordinarily rare combination: true enterprise stakes with startup speed. The machine is built. What it needs now is the right person to help it run.

Job Description Senior Data Engineer Location: Remote (U.S.) or New York City Type: Full-Time We're seeking a talented Senior Data Engineer to help reshape how brands communicate—by empowering them to market with precision, not excess. You’ll play a pivotal role in building scalable systems that turn noisy customer data into clear insights for smarter machine learning decisions. It’s a fast-moving, hands-on role with a tight-knit engineering team and real impact from day one. Responsibilities • Architect and maintain robust data pipelines that scale across high-volume sources, • Develop an event taxonomy and normalization layer for clean, consistent data ingestion, • Use tools like Airflow and dbt to manage data workflows and transformation, • Collaborate with data science and ML teams to support model training and deployment, • Design optimized data models for reliable storage and analysis, • Monitor data workflows and troubleshoot issues across the full pipeline, • Implement ETL/ELT processes with a sharp eye for performance and reliability, • Contribute to feature engineering and A/B test infrastructure in big data environments, • Uphold high standards for data quality, security, and governance You Bring • 5+ years in data engineering, working with complex, high-volume systems / significant data. Think Spotify, Wayfair, Shopify, Netflix etc..., • Strong Python and SQL chops, • Experience with asynchronous Python, • Familiarity with DAG tools like Airflow, dbt, or Dagster, • Comfort jumping between reporting layers and infrastructure architecture, • Solid understanding of cloud platforms (AWS, GCP, Azure) and deploying data solutions, • Knowledge of dev-ops best practices and containerized environments, • Strong communication skills—able to translate technical complexity clearly, • Ownership mindset with a bias for building, refining, and shipping production-quality systems The position is fully remote but you must be based in the US. We will pay up to $230k per annum + benefits

Job DescriptionCareer Renew is recruiting for one of its clients a Staff AI Engineer - this is a fully remote role for US-based candidates, as long as they can work EST hours. Salary range: 175-250K USD yearly plus benefits and equity. building the Hyperliquid Agent Runtime. Senpi agents make real trades with real money 24/7, generating a continuous stream of decisions and outcomes across dozens of concurrent strategies. Today, our agents are effective but independent. Each one runs its own logic, and when one discovers a winning pattern, a human has to manually propagate that insight across the fleet. We’re hiring a Staff AI Engineer to make that process autonomous: build the intelligence layer where the fleet learns from itself and gets smarter with every trade. This is a production role, not a research role. The feedback loop is immediate — your work either makes the agents more money or it doesn’t. Every trade is a measurable outcome. What You’ll Own Learning & Optimization The fleet generates thousands of trading decisions per day, each with a measurable outcome. You’ll build the systems that turn this stream into compounding intelligence: * Design and implement the feedback loop that connects trade outcomes back to strategy improvement — signal selection, risk parameters, position sizing, and timing * Build the evaluation framework that quantifies which signals, market conditions, and agent configurations actually predict profitable trades versus which ones are noise * Develop automated strategy generation and testing — the system should explore new configurations, backtest them against real fleet data, and surface candidates for deployment * Detect shifts in market conditions and adapt fleet behavior accordingly — what works in trending markets fails in choppy ones, and the system should recognize the difference Autonomous Fleet Intelligence Build the higher-order agents that manage and improve the fleet without human intervention: * Automated fleet monitoring that catches configuration errors, degraded performance, and infrastructure issues across all agents continuously * Performance attribution that decomposes every trade into its component drivers — was the signal right, was the execution efficient, was the exit well-timed — and feeds those insights back into strategy design * Fleet coordination that manages concentration risk, capital allocation across strategies, and the balance between exploration (testing new approaches) and exploitation (scaling what works) Model & Inference Own the path from external LLM dependence to Senpi-controlled intelligence: * Evaluate and implement the right model hosting strategy — from proxied external models with full telemetry, to fine-tuned domain-specific models on owned infrastructure * Build the telemetry and data capture layer that makes learning possible — every decision, every evaluation, every outcome structured and queryable * Determine whether and how domain-specific training (on trading data, market patterns, and fleet performance) outperforms general-purpose prompted models — then build the pipeline to make it happen * Optimize inference for the specific demands of autonomous trading: many concurrent agents, structured decision outputs, cost-efficient at scale What We’re Looking For Must Have * ML engineering in production — you’ve trained, deployed, and maintained models that run in production and directly impact business outcomes. Shipped systems, not just notebooks * Reinforcement learning or online learning experience — you understand the practical challenges of learning from real-world outcomes rather than static datasets. You’ve built systems where model outputs generate actions that generate feedback that improves the model * Strong software engineering — Python is your primary language, comfortable with Go or TypeScript for production services. You build data pipelines and distributed systems, not just models * You’ve closed the loop — the single most important qualification. You’ve built a system where predictions lead to actions that generate outcomes that feed back into better predictions. End-to-end, in production, with measurable improvement over time Strong Plus * Experience with financial ML — signal generation, alpha research, portfolio optimization, or execution optimization * LLM fine-tuning and serving — PEFT/LoRA, vLLM, TGI, or custom inference pipelines in production * Multi-agent systems — designing systems where autonomous agents coordinate, compete, or learn from each other * Onchain data or DeFi protocol experience * Background in domains where agents make sequential decisions under uncertainty — robotics, autonomous systems, game AI What This Role Is Not This is not an ML research role where you publish papers and hand off models to an engineering team. You own the full stack from data pipeline to deployed model to production outcome. This is also not a prompt engineering role. While today’s agents use prompted LLMs, the trajectory is toward learned behavior — agents that improve through experience, not through better instructions. Compensation & Package Compensation * Total starting all-in comp: ~$450k * Base salary: $175,000–$250,000 USD (location and experience dependent) * Equity: ~1% initial stock grant, valued at $230,000 in last round, projected to double in next 6 months * Plus: Team-wide eligibility for salary increases and bonuses tied to revenue and usage * Plus: Token upside: pro-rata participation in Senpi’s token launch (planned for 2026) This role is meaningfully ownership-driven, with upside tied directly to company success.

Job DescriptionSalary: 140,000 - 180,000 Forward Deployed Data Engineer Chassi Overview PE-backed companies have one priority: a successful exit. Three strategies determine whether they achieve it; Customer Growth & Retention, EBITDA Maximization, and Board-Level Alignment. Chassi builds the operating view that moves all three; modeled directly from your systems of record, delivered in days, and kept current through the hold period. We are a unique team of individuals from all walks of life; from the elite ranks of SEAL Team 6 to the realms of education and construction. We know that start-ups aren't for everyone; they demand a special kind of person who can voluntarily navigate the uncertainty and ambiguity. At Chassi, we don't just tolerate this uncertainty; we thrive on it, pushing our boundaries every single day. We seek exceptionally talented individuals who possess this "Chassi mindset" to join us in our relentless pursuit of groundbreaking solutions. The Opportunity Were looking for a Forward Deployed Data Engineer to join our Solutions team and play a critical role in delivering value to our customers through the Chassi platform. This role sits at the intersection of data engineering and client delivery. Youll work directly with customer data, diagnosing and resolving pipeline issues, extending our platform to support new systems, and partnering closely with both the Solutions and Product Engineering teams. Youll also be embedded in client engagements, quickly understanding business objectives and ensuring our data pipelines and outputs align with the value weve promised. We are only considering full-time, direct hires at this time (no contractors, agencies, or third-party submissions). This is a hybrid role based in New York City, with regular in-office collaboration expected. We are not able to provide relocation for this role. What Youll Do • Build and adapt data pipelines to support new customer source systems and evolving use cases., • Translate customer data into usable, reliable outputs that empower Solutions Managers to perform analysis and deliver., • Triage, investigate, and resolve data pipeline exceptions and inconsistencies, enabling the team to confidently use customer data within the Chassi platform., • Partner with backend engineers to identify root causes, prioritize fixes, and contribute to scalable, generalized solutions. What You Bring • 37 years of professional experience in data engineering, analytics engineering, or a similar technical role., • Proficiency with at least one data scripting language (e.g., Python)., • Experience with a preferred object-oriented programming language such as C#, C++, or Go., • Experience in troubleshooting data issues and working with imperfect or incomplete datasets., • Proven ability to design and implement data pipelines in production environments., • Strong understanding of database systems (SQL and NoSQL)., • Experience with data integration tools, APIs, and cloud-based data platforms., • Excellent problem-solving skills and ability to work in a fast-paced, evolving environment., • Excellent communication skills with the ability to work directly with client-facing teams., • Must be authorized to work in the United States without sponsorship. Nice-to-Haves • Background in data or mathematical modeling (statistical, predictive, or systems modeling experience a plus)., • Experience in a startup or high-growth environment where context and requirements evolve quickly., • Exposure to finance, SaaS metrics, or operational analytics use cases. How You Work • Youre curious and pragmatic; you dont over-engineer, but you dont cut corners that matter., • You communicate clearly with both technical and non-technical teams., • Youre energized by solving real problems, not just building in isolation., • You take ownership and follow through. Compensation • Salary Range: $140,000 $180,000, depending on experience, • Equity: You will have the chance to be an owner in Chassi and make a bet on yourself and the impact you can have on the company. Interview Process We aim to keep the process focused, transparent, and respectful of your time: Chassi is an equal opportunity employer. We welcome applicants of all backgrounds, identities, and experiences. That includes (but is definitely not limited to) race, gender, gender identity, sexual orientation, age, disability status, religion, nationality, or anything else that makes you,you. We care far more about what you can build, solve, and improve than where you came from or how your resume is formatted.

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role This is an engineering role embedded in the Marketing team. The GTM Engineer designs and builds the systems — AI agents, automation workflows, enrichment pipelines, attribution infrastructure — that power how Stuut goes to market. You'll work alongside Demand Generation, GTM Infrastructure, and RevOps to translate campaign strategy into systems that run at scale. You won't wait for an ops team to build for you. You'll architect and ship the infrastructure yourself, with enough marketing fluency to know what's worth building and why. Engineering rigor is the primary requirement; commercial instinct is what makes you exceptional in the role. This is not an ops role that occasionally touches messaging, and it is not a marketing role with light technical exposure. It is a builder's seat inside Marketing, with full ownership of the technical layer that drives pipeline. What You'll Do * Design and build AI agents from scratch that autonomously run marketing workflows: content generation, campaign development and launch, paid channel optimization, creative testing, and more. * Architect enrichment, scoring, and routing pipelines that turn raw signals into prioritized accounts and contacts with full context for the GTM team. * Build scripts, automations, and integrations across Clay, HubSpot, Smartlead, n8n, and the broader stack — partnering with GTM to extend the core infrastructure on the marketing side. * Instrument campaign attribution and reporting end-to-end. Every touch traceable, every dollar accountable. * Maintain HubSpot as the source of truth for marketing activity: clean data, meaningful properties, functional workflows. * Partner with demand generation programs across outbound, paid, and content channels — owning the technical execution and contributing to strategy. * Translate buyer insight into the messaging, sequencing, and personalization logic that drives reply and meeting conversion. * Define success metrics before launch, monitor results across channels, and iterate continuously. * Partner with GTM on shared infrastructure decisions and ensure the marketing layer integrates cleanly with core outbound systems. * Partner with RevOps so campaign data flows correctly into pipeline reporting and lifecycle management. * Document the stack so it is maintainable, scalable, and not a single point of failure. You Might Be a Fit If You… * Are a builder first. You write production-quality code, design systems other people depend on, and have shipped GTM or marketing infrastructure end-to-end — not just configured tools someone else set up. * Are fluent across the modern AI and GTM stack: Clay, n8n or Zapier, Smartlead, Instantly or Apollo, HubSpot or Salesforce, data warehouses, and analytics platforms. You've made real builds in these tools, not just demos. * Have 2–5 years of experience in GTM engineering, marketing engineering, growth engineering, or technical demand gen. B2B SaaS is a plus, not a requirement. * Have commercial instinct. You think in terms of pipeline generated and meetings booked, not workflows automated. You can read a sequence and tell us why it's underperforming. * Don't just execute the playbook — you question it, find the gaps, and build something better. * Think creatively about lead generation: you've used data in non-obvious ways, surfaced signals others missed, or built infrastructure that opened up channels your team wasn't running. * Are energized by ambiguity. You'd rather ship a working v1 and iterate than wait for a perfect spec. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave

Job DescriptionAbout Us:Versana is an industry-backed fintech on a mission to make the syndicated loan market better. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You:Versana is looking for a Security Engineer to join our InfoSec squad. You will play an essential role in safeguarding our organization's information systems and data from potential threats and vulnerabilities. You will work collaboratively with senior engineers and cross-functional teams to enhance our security posture using cutting-edge technologies.Key Responsibilities: • Perform and validate application & API security testing (OWASP & API Top 10, business logic abuse, auth/authorization flaws, data exposure)., • Assist with vulnerability lifecycle management by gathering and normalizing findings (scanners, manual assessments, etc.), validating impact, setting priority, and assigning remediation tickets., • Integrate and maintain security tooling in CI/CD (SAST, SCA, DAST, SBOM, container and secrets scanning) and collaborate with developers to tune signal vs noise., • Assist with configuration and lifecycle management of AppSec tooling (e.g., CNAPP, WAF, secret management), • Contribute to threat modeling & secure design reviews (data flows, trust boundaries, abuse cases, cloud IAM, entitlement surfaces), • Partner with engineering, DevOps, product, and QA to embed secure patterns early (“shift left”) and provide code-level remediation guidance., • Automate repetitive security tasks and reporting where possible (scripts, pipeline jobs, policy-as-code), • Participate in incident response activities, including containment, eradication, and recovery efforts., • Support the implementation of security policies, procedures, and standards., • Stay up-to-date with the latest security trends, threats, and technology advancements.Must Haves:, • +5 years combined experience in software development and/or application security engineering., • Ability to read and develop secure code in at least one of: Python, Java, JavaScript/TypeScript, Go, or C#., • Understanding of Application Security principles and web application vulnerabilities such as OWASP Top 10, their risk and remediations, • Basic understanding of cloud computing principles and services (e.g., AWS, Azure, Google Cloud)., • Exposure to security tools such as vulnerability scanners., • Strong communication and teamwork skills., • Detail-oriented with a proactive approach to identifying and mitigating security risks.Nice to Haves:, • Pentest experience, • CompTIA Security+, CEH, GWAPT, OSCP or similar certifications., • Infrastructure-as-Code knowledge such as Terraform.

Job DescriptionSalary: 135,000.00-185,000.00(USD) What we bring: • Pay & ownership — Competitive salary with generous equity grants., • Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits., • Unlimited PTO — Take the time you need to recharge., • Dinner on late nights — Working late? Dinner is on us., • Fitness stipend — Monthly support for your health and wellness., • Tools of the trade — Any equipment you need to do your best work., • Commute perks — Citi Bike + train benefits. ✅ Traits to prioritize • Need to have some spike of excellence (top school, great company), • Technical background (CS degree or sold technical products), • Startup experience or high-growth environment exposure, • Generalist mindset willing to wear multiple hats, • Companies, • devtool startup as first GTM hire, • technical startups, • Datadog, • Grafana, • Pure SDRs focused only on outbound prospecting, • Experience at technical companies like Datadog, Grafana, or Sentry This is a high-impact builder role at the center of scaling go-to-market. You'll own the operating system behind GTM — strengthening systems, automations, reporting, and sales enablement — while running growth experiments that directly drive pipeline. This is not a passive ops role. Its for someone who likes building infrastructure, shipping projects quickly, and operating in ambiguity. What You'll Do * Own and optimize core GTM systems across CRM, enrichment, sequencing, and automations * Maintain clean, accurate pipeline data and strong CRM hygiene * Build reporting dashboards for pipeline health, conversion, and outbound effectiveness * Partner closely with Sales to surface account insights, prep materials, and improve rep productivity * Run growth experiments end-to-end (events, partnerships, outbound initiatives) from hypothesis to iteration * Document playbooks and create repeatable workflows to scale the team What Were Looking For * 3+ years in a high-ownership GTM, Strategy & Ops, BizOps, Growth, or similar role * Experience operating in technical startup, VC, consulting, or founder environments * Strong analytical mindset — comfortable defining metrics and making decisions from imperfect data * Hands-on experience with modern GTM tooling (e.g., HubSpot, Notion, Clay) * Systems thinker who enjoys building scalable workflows * Strong written and verbal communicator * Ability to manage ambiguous projects from definition to execution Bonus * Direct RevOps / Sales Ops / Marketing Ops experience * SQL or light scripting for reporting and automation * Working literacy of software engineering or cloud infrastructure * Prior experience at a devtools company * Experience running events or community initiatives * Computer Science degree is a plus This is an opportunity to help build the GTM engine from the ground up at a highly technical startup — ideal for someone who wants real ownership and measurable impact. Powered by JazzHR VMKdsXvuSq

Job Description Infrastructure Engineer (AWS / Terraform / ECS / Data Platforms) Location: New York, NY (Onsite 3–5 days/week) Compensation: $180,000 - $235,000 + equity About Our Client Our client is building AI-native infrastructure to automate the administrative backbone of healthcare—starting with home health. Their platform helps agencies reduce overhead, accelerate payments, and spend more time on care (not paperwork). The product integrates directly into provider operations and automates complex workflows like insurance verification, prior authorization, and billing using agentic AI. Backed by top-tier investors, the team blends deep expertise across healthcare operations, applied AI, and workflow automation. The Role Our client is hiring their first Infrastructure Engineer to build and scale the foundational systems powering their AI automation platform. You will own critical infrastructure supporting production workloads across intake, clinical documentation, and revenue cycle management—ensuring reliability, security, performance, and compliance as the company scales from one client to dozens. This is a systems-oriented role with broad scope. You'll work across container orchestration, data systems, deployment automation, and observability. Over time, you'll help set the technical vision for the infrastructure layer and define operational best practices that allow engineering to ship faster and more reliably. What You'll Do • Design, build, and maintain scalable cloud infrastructure on AWS, including ECS, Postgres, Redshift, and supporting data pipelines for production workloads, • Own CI/CD pipelines and deployment automation to enable fast, safe releases (testing, rollbacks, zero-downtime deployments), • Implement and manage infrastructure-as-code using Terraform, ensuring consistency and version control across environments, • Build robust observability (metrics/logs/traces/alerting) using tools like Datadog, including cost and performance monitoring, • Scale and optimize Postgres/Redshift to handle growing data volumes while maintaining performance and data integrity, • Drive security and compliance at the infrastructure layer: IAM policies, network controls, audit logging, and HIPAA-compliant data handling Required Qualifications • 4+ years of infrastructure, platform, or SRE-adjacent engineering experience building and scaling production systems, • Strong hands-on experience with AWS and Terraform (or comparable IaC), • Experience with AWS primitives including ECS, RDS/Postgres, Redshift, IAM, VPC, and related services, • Strong experience building and maintaining CI/CD pipelines, automated testing, and deployment automation, • Hands-on experience with observability tools (especially Datadog) including monitoring strategy and alerting discipline, • Familiarity with Redshift or modern warehousing patterns for analytics/reporting workloads, • Experience in healthcare or other regulated industries requiring strict security, privacy, and compliance, • Familiarity with data pipeline orchestration tools and ETL/ELT patterns, • First infrastructure hire with real ownership and architectural influence, • High-impact mission: reduce administrative burden so providers can focus on patient care, • Work at the intersection of cloud infrastructure + data systems + AI-driven workflow automation, • Build compliant, resilient infrastructure that scales with real healthcare operators

Job Description About Syllo Syllo is on a mission to transform litigation. Our product is an AI-powered litigation workspace that enables lawyers and paralegals to safely harness the power of language models throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. We are a mission-driven venture and recognize the enormous societal benefits that will result from a legal system that works better for everyone. We are seeking a skilled and fast-moving Senior AI Engineer to join our team. This role is focused on the practical application of AI, specifically leveraging Large Language Models (LLMs), to build robust, scalable, and impactful user-facing features. This is an engineering-centric role—you will be an expert at building and integrating production systems, not primarily a research scientist. The Responsibilities • System Design & Implementation: Design and build high-performance, production-level AI-powered features and services, with a focus on reliability and scalability., • Develop robust engineering solutions to mitigate the inherent unreliability of LLMs. This includes implementing effective guardrails, validation pipelines, error handling, caching, and failover/fallback mechanisms to ensure a high-quality user experience even when the model misbehaves., • Focus on optimizing latency, throughput, and cost efficiency for all AI-powered services., • Serve as an engineering expert in integrating models and data feeds with existing business logic and APIs., • Engineering Best Practices & Quality:, • Champion and enforce high standards for code quality, architectural design, and system documentation., • Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the robustness of AI features before and after deployment., • Participate actively in peer code reviews to maintain a high bar for engineering standards across the team., • Feature Delivery & Ownership:, • Take ownership of the full lifecycle of new AI features, from initial design and prototyping to testing and deployment into the production environment., • Own the end-to-end development of new features, including API design, integration with front-end services, persistent data storage, and comprehensive monitoring/alerting., • Work closely with product managers and other engineers to scope, estimate, and deliver features on a fast iterative cycle., • Pipeline Enhancement: Quickly onboard onto our existing codebase to understand, maintain, and significantly enhance existing data and feature pipelines, improving their efficiency and robustness., • Tooling & Velocity: Embrace and utilize AI-powered developer tools (such as GitHub Copilot) to maximize your efficiency, demonstrate a commitment to continuous learning, and set a high bar for engineering velocity. Qualifications • Deep Engineering Fluency & Quality Focus: Proven ability to build and deploy complex, high-quality software systems with an emphasis on maintainable code, rigorous testing, and engineering best practices., • Python Proficiency: Fluent in Python and its ecosystem for backend services and data processing., • System Design Expertise: Strong grasp of system design principles, including distributed systems and API design., • Demonstrated ability to design scalable distributed systems, including expertise in microservices architecture., • Codebase Agility: Excellent ability to read, understand, and navigate an unfamiliar codebase quickly., • Fast Learner: A demonstrable history of rapidly acquiring new technical skills and applying them to solve business problems. Great to Have • AI/ML Feature Experience: Experience directly building, shipping, and maintaining AI-powered products, agents, or intelligent features in a commercial setting., • LLM/Generative AI Exposure: Familiarity with the unique engineering challenges of integrating Large Language Models into a production environment., • Hands-on experience with LLM operationalization challenges (MLOps for LLMs), including prompt engineering, working with vector databases, RAG systems, or managing context windows., • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) for deploying and managing services. United States - Remote Pay Range$170,000—$220,000 USD

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the Advanced Technology Group (ATG) and directly influences key business metrics, including revenue, utilization, and customer demand. In this role, you will design and implement models that predict demand, analyze price–demand relationships, and develop pricing strategies. This is a highly impactful role with significant ownership over data, modeling, and infrastructure systems. What you'll do • Design, develop, and productionize demand forecasting models optimized for different business goals (e.g., visits, revenue, availability), • Innovate and improve Machine Learning models for price elasticity, time series, and probabilistic models for revenue optimization, • Design and build end-to-end data pipelines to support large-scale production usage, • Identify data issues (e.g., bias, leakage, labeling inconsistencies) and drive solutions, • Design and analyze experiments (A/B, switchback, causal inference) to validate pricing strategies, • Deploy and monitor models in production, ensuring reliability, scalability, and data quality, • Collaborate with product, engineering, and business teams to translate requirements into scalable ML solutionsWhat we're looking for, • PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least 1+ years of relevant experience, or MS with equivalent publications, • Proficient programming skills in Python and SQL, • Foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models, • Strong knowledge with forecasting, optimization, and decision-making algorithms, including revenue maximization, constrained optimization, and demand/price curve optimization, • Solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects (A/B testing, DiD, uplift modeling), • Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow), • Strong communication skills, both written and verbal, with the ability to operate effectively at team and deep technical levels When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionAbout Clarion At Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care. We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication. We've raised $10M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered. Why Join Us? * Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startup * Solving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patients * Own the narrative in a hot market: You'll shape how the industry talks about AI in healthcare while competing against well-funded competitors * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive culture What You'll Be Working On * Define and own our story: Craft positioning and messaging that transforms Clarion from "another AI vendor" into the trusted partner healthcare teams need * Generate pipeline at scale: Build and execute campaigns that fill our funnel with qualified healthcare executives ready to transform their operations * Build trust through relationships: Create intimate customer dinners, executive roundtables, and strategic gatherings that deepen relationships with buyers and influencers * Turn conferences into pipeline: Maximize ROI from 10+ annual conferences through strategic meetings, speaking opportunities, and customer events (not expensive booths) * Create content that converts: Develop case studies, ROI calculators, blog posts, and sales materials that move deals forward * Enable sales to win: Arm our team with competitive intelligence, battlecards, and thought leadership that helps close deals against funded competitors Requirements * 3-5 years of B2B marketing experience: Track record in enterprise healthcare, preferably at growth-stage startups where you've worn multiple hats * Relationship builder: Experience creating trust through events, community building, and strategic partnerships—not just digital marketing * Healthcare insider: Understands how health systems buy, who the key influencers are, and what messages resonate with overwhelmed providers * Strategic storyteller: Can distill complex technology into a simple, repeatable narrative that sticks * Scrappy executor: Comfortable doing everything from writing LinkedIn posts to organizing executive dinners to pitching reporters * In-person collaboration: Excited to work from our NYC office daily You're a Good Fit If * You believe marketing is about building trust, not just generating awareness * You understand that in healthcare, relationships and reputation drive deals more than SEO * You measure success by pipeline influenced and competitive deals won, not vanity metrics * You're comfortable being the only marketer while laying foundation for future hires * You can balance strategic thinking with hands-on execution across multiple channels What We Offer * Direct impact: Work directly with founders to shape company positioning and go-to-market strategy * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunches * Team culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC team * Career growth: Clear path to VP Marketing as we scale, with opportunity to build and lead a team Interview Process At each stage, we decide within 24 hours and update you shortly after: * First Chat (20 min) [Virtual]: Quick conversation about your experience building trust-based marketing in healthcare * Marketing Strategy Session (45 min) [Virtual]: Discuss how you'd position Clarion against funded competitors and build our presence without a big budget * Marketing Plan (Take-home): Create a 90-day plan for establishing Clarion's narrative and maximizing our fall conference schedule * Team Day (Half-day) [In-Person]: Present your plan, collaborate on real challenges, and meet the team in our NYC office If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $160K - $200K

Job Description Overview We are on a mission to ensure everyone has access to medical expertise, no matter where they are. Half the world still lacks access to quality healthcare. Even in advanced systems, outcomes are uneven, and clinicians are overwhelmed. Medical knowledge grows faster than human capacity can keep up. Corti exists to close that gap. Our AI platform expands access to medical expertise, reducing errors, restoring time to clinicians, and making care more affordable, accessible, and human again. There is no quality healthcare without a quality dialogue, and no reliable AI without a strong foundation. Help us build both. Why Corti? Corti is the frontier lab for clinical-grade AI. We build world-leading models and infrastructure that power healthcare's most ambitious software - from EHR vendors and virtual care platforms to the health systems that care depends on. Today, Corti serves over 100 million patients annually, including the NHS. Our flagship model, Symphony, is trained and validated on real clinical data from real patient interactions, and powers the clinical and administrative work that healthcare runs on. We power the builders who are redefining how healthcare works, from startups creating new patient experiences to enterprises modernizing the systems that care depends on. If you believe that AI purpose-built for medicine will define the next century of healthcare, you belong at Corti. The Role We are seeking a technically curious, execution-focused Growth Marketer to sit at the center of Corti’s growth engine. This role is for someone who can read an API doc, spin up a landing page, and write a launch post that developers actually want to read. You are technical enough to understand what we build, creative enough to make people care, and pragmatic enough to ship instead of overthinking. You will own the surfaces and campaigns that drive developer awareness, acquisition, and activation. That includes product launches, landing pages, demand generation, developer-facing content, and growth analytics. You will move fast across channels and formats, with real ownership over what ships and how it performs. What you’ll be doing: Product launches and landing pages * Design and build landing pages, launch assets, and promotional materials (often coding or prototyping yourself) * Collaborate on the end-to-end build and launch process for new products, features, and platform updates * Coordinate cross-functionally with product, engineering, and design to bring launches to market * Write launch content and developer-facing announcements that inspire our audience to dive in Demand generation * Plan and execute campaigns that drive signups, activations, and pipeline across paid, organic, and owned channels * Run conversion rate experiments across the signup and activation funnel * Manage paid campaigns and track performance against acquisition and activation targets Content and SEO * Produce developer-facing content for blog, social, and community channels * Build and execute an SEO strategy targeting developers searching for healthcare AI tooling * Write technical blog posts, guides, and tutorials that position Corti as the default platform for healthcare AI development * Create sales enablement assets, templates, and collateral as needed Analytics and reporting * Build dashboards and reports to track campaign performance, funnel metrics, and growth KPIs * Analyze user behaviour to identify activation patterns and conversion opportunities * Report regularly on what’s working, what’s not, and where to invest next * Use data to prioritise experiments and allocate resources across channels What you bring: You may have been a growth marketer at a developer tools company, a product marketer at a PLG SaaS business, or a growth generalist at a Series A-C startup who touched everything from paid ads to SEO to rapid prototyping. Whatever your path, you have marketed a technical product to a technical audience and are comfortable building things yourself rather than waiting on others. Technical aptitude * Comfortable reading API documentation and understanding how developer products work * Able to build or “vibe code” landing pages, simple tools, and prototypes (or excited to learn) * Familiar with developer workflows, tooling, and PLG motions * Not a software engineer, but the kind of person who builds side projects, tinkers with AI tools, and stays close to the product Marketing execution * Experience running campaigns across paid, organic, email, and content channels * Track record of shipping landing pages, launches, and growth experiments quickly * Comfortable with analytics tools like Google Analytics or Posthog and building reports that drive decisions * Strong writing skills, particularly for technical and developer-facing audiences Builder mindset * 2-4 years of experience in growth, product marketing, or a generalist role at an early-stage tech company * Comfortable operating with minimal structure and defining the playbook as you go * High output: you ship fast, learn from results, and iterate * Genuine interest in AI and healthcare Tools we work with: * Webflow * Lovable * Cursor * Claude * PostHog * Google Analytics What a day looks like: On any given day, you might push a new landing page live for an API feature launch, review funnel metrics to diagnose a drop in activation, draft a blog post on a new agent capability, and jump on a call with product and engineering to scope the next release. We don’t care about the exact title on your CV. What matters is that you are technical enough to understand what we’re building, fast enough to ship without waiting for permission, and someone your friends might describe as “one of the smartest people they know.” Life at Corti * You will work closely with the Growth, Product, and Engineering teams * High autonomy, low bureaucracy, and real ownership * Direct impact on how developers discover and adopt Corti’s platform * Equipment provided by Corti * Working in our New York office Ready to dive into the world of Corti? Hit that 'Apply' button, and let's start working together on reshaping the dialogue in healthcare, making a real difference for millions of patient outcomes around the world. 🤝 Bringing in top talent from all backgrounds is crucial in our pursuit to improve the world of healthcare. We encourage applications from all people and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, and/or disability status. At Corti, experience comes in many forms, and we’re passionate about creating teams with a multitude of perspectives! If you believe your experience is close to what we’re looking for but not an exact match, we still hope you’ll consider applying! Compensation Range: $120K - $155K

Job Description YOOBIC is the leading AI powered frontline employee experience platform. While most tech companies build for desk based teams, we build the operating system for the deskless workforce. The 80 percent of global employees who power retail and hospitality. Our mobile first platform helps frontline teams communicate, learn, and execute better every day. By combining operational data, Predictive Analytics, and AI, we help the world’s biggest brands turn frontline execution into a competitive advantage. Trusted by 300 plus global brands including Michaels, Mattress Firm and National Vision. YOOBIC is scaling fast. Backed by a 50 million dollar Series C and investors including Highland Europe, Felix Capital, and Insight Partners, we are building the future of frontline work. What we are looking for. We’re looking for an ABM leader with a GTM engineer mindset to join our marketing team — someone who deeply understands the ABM motion in B2B SaaS and has a proven track record of building programs that generate enterprise pipeline. This is a true strategist + operator role. You will set the ABM and pipeline strategy, and lead a significant portion of the execution yourself. You won’t operate alone: you’ll partner closely with Content, Events, Product Marketing, and the broader marketing team. But you should be comfortable rolling up your sleeves, building workflows, launching campaigns, and optimizing programs hands-on. You’re excited by all the “cool new kids” in marketing tech and comfortable jumping into the tools to build, test, and improve. You combine ABM expertise with systems thinking, technical curiosity, and strong pipeline accountability. We sell to some of the most exciting brands in global retail across fashion, luxury, grocery, specialty, C-store, and QSR. Our buyers are retail operations, innovation, and communications leaders. They are not typical tech buyers, which makes the engagement motion dynamic and nuanced. You’ll operate at the intersection of Marketing, Sales, and RevOps, designing how signal turns into engagement, engagement into meetings, and meetings into pipeline. You are part strategist, part builder, with a strong appreciation for long sales cycles and complex buying committees. What You’ll Own * Global ABM Strategy & Execution * Design and scale 1:1, 1:few, and 1:many ABM programs globally * Execute multi-channel plays across digital, outbound, website personalization, paid media, events, and sales sequences * Define ICP segmentation and tiering using firmographic, technographic, behavioral, and intent data * Build persona-based messaging across buying committees * Align closely with Sales on account plans, engagement strategy, and pipeline targets * You’ll set the strategy and personally drive key programs forward in partnership with Content, Events, and Product Marketing. GTM Systems & Marketing Technology Orchestration * As an ABM leader with a GTM engineer mindset, you think in systems and enjoy building them. * Design workflows across Claude and tools like Seam.ai, HubSpot, Influ2, Salesforce, and intent platforms * Build trigger-based programs (intent surges, job changes, buying committee engagement) * Work with our Rev Ops team to develop routing logic and alert systems for BDRs and AEs * Partner with RevOps on scoring, enrichment, and automation * Build dashboards tracking engagement-to-pipeline conversion * Continuously test and adopt emerging GTM tools * You don’t just use tools — you understand how they connect to drive revenue. You will own US pipeline creation. * Set and manage quarterly and monthly pipeline targets * Align outbound with ABM campaigns and intent signals * Lead pipeline reviews and address engagement gaps * Ensure marketing insights translate into sales conversations * You understand how outbound fits into an integrated ABM ecosystem and how to empower BDRs with the right data and context. What We’re Looking For Experience: * 5–7+ years in B2B SaaS marketing * 3+ years building and executing enterprise ABM programs * Proven success generating qualified pipeline through ABM * Strong hands-on experience with ABM platforms (6sense, Demandbase, UserGems), and other GTM tools - HubSpot, Salesforce, Gong, Clay Profile: * ABM leader with a GTM engineer mindset * Comfortable owning strategy and executing hands-on * Experience selling into global markets * Deep understanding of ABM in B2B SaaS sales environments * Highly technical and curious about emerging GTM tools * Comfortable building workflows between Claude and tools like Salesloft, UserGems, HubSpot,Salesforce, and enrichment tools * Data-driven and focused on engagement-to-pipeline performance * Strong cross-functional collaborator across Marketing, Sales, and RevOps * Confident people manager with a builder, test-and-learn mentality * Comfortable in a fast-paced entrepreneurial environment What We Offer: * Hybrid working if based in NY (3 days a week in the office Monday, Tuesday and Thursday with lunch provided on Monday & Thursday * Remote if based outside of NY * 20 days PTO + 8 public holidays (plus 3 floating holidays to choose from) * Medical cover and EAP (Employee Assistance Program) * Company covered Life insurance coverage * Company covered long term disability coverage * An amazing 401k contribution - We contribute even if you don’t! * ADP discounts for a whole host of items (including electronics, Childcare, travel, etc…) * Free online HIIT sessions + gym discounts The base salary range for this position is $135,000–$145,000 per year. This represents our good faith estimate of the compensation at the time of posting. Final compensation will be determined based on experience, skills, and location. We are an equal opportunity employer that values diversity and inclusion. We are committed to equal employment opportunities and we want to ensure that our recruitment process is accessible to everyone. If you have a disability or additional need that requires reasonable accommodations during the process please do not hesitate to let us know. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job Description Hi, we're Oscar. We're hiring a Staff Software Engineer to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role As a Staff Software Engineer you'll join our distributed team, leading the design and development of enhancements to our next-generation claims and payment processing systems. You will work on a broad problem space spanning contract and pricing configuration, system extensibility through our internally developed DSL, and data pipeline architecture and efficiency. You'll selective apply AI to solve hard problems, automating and improving processes that previously tedious and error-prone. Your focus will be on building scalable and reliable systems that ensure the accuracy and efficiency of our claims and payment processes. You will report to the Director, Software Engineering. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $192,000 - $252,000 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Serve as the subject matter expert on business and technical domains., • Lead the planning, execution and release of complex technical projects across multiple teams, including owning medium to large features or infrastructure projects from technical design through completion, • Work with partners, product managers, and designers to solve challenging problems., • Lead and mentor engineers and engineering teams to improve technology, apply best practices and set overall team direction., • Responsible for ensuring the team's delivery of large or complex technology capabilities (set of components or services) within their team's domain or spanning multiple domains., • Facilitate, encourage, and enhance a culture of collaboration within the engineering team and its internal customers; recognizing when cross-team projects are at risk and actively mitigate risk to deliver on time., • Prolific contributor to the objectives of their functional group, and plays a key role in driving outcomes for organization-wide projects., • Work with leadership to assign prioritization of technical roadmap and influence prioritization of product roadmap and process enhancements within their area and across related areas., • Actively identifies and reduces failure domains while working with their team to do the same., • Builds software to minimize effort and business impact during maintenance and failures., • Guide the development of Service-Level Objectives (SLOs) for systems they and their team are responsible for., • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 7+ years of professional software engineering experience, • 5+ years of experience as a leader of cross-pod or cross-company deliverables, • 5+ years of experience leading technical contributions, improving the quality of what your teams create, • 5+ years of experience with practical application of CS concepts within their team., • 5+ years of experience setting and enforcing the standard for writing stable, correct, and maintainable code At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionWho we are:Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. We operate with urgency, intensity, and ambition. The bar is high because the opportunity is massive. We expect excellence, ownership, and intellectual rigor from every team member. We move fast, make bold decisions, and hold ourselves accountable to results. At the same time, we believe great companies are built on trust and respect. Every voice matters. Every contribution counts. When we win, we win together. We are scaling rapidly and on a clear trajectory toward becoming a unicorn this year — and beyond. Our growth is not accidental; it’s the result of disciplined execution, relentless focus, and a team that refuses to settle. We are building a category-defining company, and we’re looking for people who want to do the most meaningful work of their careers. If you want comfort, this isn’t the place.If you want impact, ownership, and the chance to help build a generational fintech company, welcome. Nitra was created by unicorn founders who have successfully scaled to thousands of customers and exited $1B+ public offerings. They are joined by an ambitious and experienced team from American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. The team is backed by some of the world’s leading VCs (Andreessen Horowitz, NEA, etc.) and is supported by an expert group of advisors including the cofounders of Square and Xendit, executives from Intuit, former Governors, White House senior staffers, and a co-founder of CityMD. Nitra maintains a hybrid work policy, with team members working from the office four days per week and Wednesdays designated as a work-from-home day. We're looking for:A Growth Engineer (GTM Systems) who will be the technical architect of our engine for scale. We need a high-achieving individual to own the intersection of marketing, sales, and engineering—building the automated systems, data pipelines, and sophisticated tooling that power Nitra’s rapid expansion. You are someone who thrives on technical complexity and is obsessed with optimizing the lead-to-revenue lifecycle.Your responsibilities will include: • Building and maintaining robust data pipelines using Fivetran, BigQuery, and Sigma to ensure a single source of truth for GTM data, • Architecting deep lead enrichment workflows and automated outbound campaigns to drive high-volume, high-quality pipeline, • Managing the full marketing tech stack, including CRM integrations, drip campaigns, cookie tracking, and the ingestion of intent signals, • Owning Salesforce (SFDC) administration, including managing complex integrations via APIs and ensuring data integrity across the ecosystem, • Setting up and maintaining web properties on Replit and leveraging Clay for advanced sales automation, • Deploying AI tools to automate repetitive marketing tasks and enhance SEO campaign efficiency, • Collaborating with cross-functional teams to translate business requirements into scalable technical infrastructureYou have:, • A Salesforce (SFDC) Certification (Required), • A Bachelor’s degree in Computer Science, Software Engineering, or a related Engineering field. You approach GTM problems with the mindset of a full-stack engineer, prioritizing scalability, security, and clean architecture., • Advanced skills in Python (for data manipulation and automation scripts), TypeScript/JavaScript (for web development and server-side logic), and SQL (for complex data modeling and warehouse management)., • Deep expertise in data warehouse management and data pipeline tools (Fivetran, BigQuery, Sigma, or similar), • Proven experience managing APIs and complex integrations between CRM and third-party marketing tools, • Expertise in sales and marketing automation platforms, specifically Clay and specialized drip campaign software, • A strong understanding of the modern marketing tech stack, including SEO tools, cookie tracking, and intent data providers, • Hands-on experience using Replit for web development and deployment, • A track record of using AI tools to drive efficiency in GTM operationsWe offer:, • Equity - Everyone at Nitra is an owner. When the company wins, you win., • Competitive Salary - You’re the best of the best, and your salary will reflect your experience and reward your contributions to Nitra., • Health Care - Your health comes first. We offer comprehensive health, vision, and dental insurance options., • Retirement Benefits - Your financial stability matters to us so we provide a generous employer 401K match.

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards About the Job: SmartAsset is hiring a Director of Advisor Marketing to own its B2B marketing engine. We operate one of the largest marketplaces connecting investors with financial advisors. Our next phase of growth requires a high-agency B2B leader who understands the advisor ecosystem deeply: RIAs, broker-dealers, hybrid advisors - and can architect a scalable, modern, AI-native go-to-market motion. This role owns advisor pipeline growth across direct acquisition, lifecycle automation, firm partnerships and co-marketing initiatives, webinars and events, and multi-channel performance strategy. You will work directly with executive leadership and partner closely with a GTM Engineer to build systems - not just campaigns. This is a revenue-owning, systems-building leadership role. You will be hands-on. Responsibilities: • Own advisor pipeline growth targets tied to revenue outcomes, • Develop ICP segmentation across RIAs, hybrid advisors, and broker-dealers, • Craft clear positioning and messaging that resonates with advisors, • Design and oversee multi-channel acquisition strategy (Paid, LinkedIn, outbound, lifecycle), • Partner with PR to amplify customer success stories and social proof, • Develop scalable partner enablement assets (email sequences, case studies, marketing collateral), • Own webinar strategy end-to-end, including co-hosted events and post-event pipeline conversion, • Partner with GTM Engineer to automate workflows and standardize AI-driven GTM processes, • Improve MQL → SQL → Revenue conversion through structured experimentation, • Align tightly with sales leadership to ensure marketing drives measurable revenue, • 5–10+ years marketing to RIAs, broker-dealers, or fintech serving financial advisors, • Deep understanding of advisor psychology, objections, and buying cycles, • Strong command of B2B performance marketing fundamentals (paid, outbound, lifecycle), • Demonstrated ability to tie marketing programs to pipeline and revenue impact, • Experience leading webinars or event-driven pipeline programs, • Fluency with CRM and marketing automation tools (Salesforce, HubSpot, Marketo, etc.), • Quantitative orientation and comfortable working with attribution and funnel metrics, • High agency, strong execution velocity, and comfort operating in ambiguity, • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • Fully Remote Work: All roles are fully remote within the contiguous U.S., giving you flexibility to do your best work from where you thrive., • Comprehensive Health Coverage: Multiple Medical, Dental, and Vision plan options through trusted national carriers—so you can choose what fits your needs., • Life & Disability Protection: Company-paid Life/AD&D coverage, with options to add supplemental life and disability plans for extra peace of mind., • Financial Wellness: 401(k) with employer match, pre-tax savings through FSA and HSA options, and equity packages offered for every role., • Time Off That Works: Generous vacation, sick, and parental leave policies—because balance matters. California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* $141,500-193,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job DescriptionGTM Engineer Location: Remote (Global) About Unframe Unframe partners with large enterprises to design and deploy production-grade AI systems. Our deals are complex, multi-threaded, and high impact. We sell to business and technical leaders who expect rigor, credibility, and measurable outcomes. We are scaling quickly and investing in the infrastructure behind our revenue engine. The Role We're hiring a GTM Engineer to build the systems that power our GTM motion and enterprise sales execution. You will design and implement the automation, tooling, and data infrastructure that turns GTM strategy into repeatable pipeline. You'll work directly with Sales Leadership, Enablement, Marketing, and Solutions to remove friction, increase selling time, and scale outbound in a thoughtful way. If you enjoy creating systems that make sales teams materially more effective, this role is for you. What You'll Own Automation & Systems • Design automations that eliminate manual work for AEs and SDRs, • Build and maintain integrations across Salesforce and adjacent GTM tools, • Improve lifecycle workflows that support complex deal cycles, • Build and optimize outbound workflows across CRM, sequencing, enrichment, and data tools, • Translate ICP and vertical strategy into account selection and prioritization systems, • Create scalable outbound motions that generate qualified enterprise pipeline, • Identify bottlenecks in pipeline creation and deal execution, • Build dashboards that surface leading indicators, • Work deeply in Salesforce and modern GTM tooling, • Use APIs, automation platforms, and light scripting where needed, • Evaluate new tools pragmatically, with scale and maintainability in mindWhat We're Looking For, • 3–6 years in Sales Ops, RevOps, Growth Ops, or a GTM Engineering-style role, • Experience supporting enterprise or complex B2B sales, • Proven track record building outbound or pipeline automation, • Strong CRM fluency (Salesforce preferred), • Experience with sequencing and enrichment platforms

Job DescriptionLocation: Hybrid In NYC Office Department: Pre-Sales Engineering Division: Engineering Reports to: Manager, Solution Engineering Job Status: Full-Time Work Shift: *8:30 AM – 5:30 PM EST Travel: Up to 40% (client sites, executive briefings, vendor events) Position: Senior Solutions Architect (Pre-Sales Engineering ) About BlackHawk Data BlackHawk is a technology solutions and managed services company competing in the same market as ePlus, Presidio, NTT, WWT, and Ahead — and growing faster. We combine the technical depth of a boutique consultancy with the vendor relationships and financial strength needed to win complex, multi-tower deals. Our customers are mid-market and enterprise organizations that need a trusted advisor, not a transactional vendor. They face increasingly complex decisions around cybersecurity posture, cloud adoption, network modernization, and operational efficiency. You will be the person who helps them find the path forward. The Opportunity We are looking for an experienced, customer-facing Solution Architect who has already done this work at a VAR, MSP, or IT services firm — and wants to do it somewhere with fewer constraints and more impact. This is a senior individual contributor role with the authority to lead design sessions, scope full projects, build managed services proposals, and shape how BlackHawk's cybersecurity and infrastructure practice evolves. You will work alongside our sales team as their primary technical partner on strategic accounts, driving outcomes that matter: securing environments, modernizing networks, migrating to cloud, and building recurring managed services relationships. Your success is measured not just by technical quality but by revenue contribution, client retention, and the trust you build as an advisor. Key Responsibilities Technical Leadership & Pre-Sales Strategy • Serve as the senior technical lead on strategic pre-sales engagements, orchestrating discovery, solution design, and presentation across all technology domains., • Lead customer-facing design workshops and architecture sessions with both technical (network/security engineers, architects) and executive (CIO, CISO, VP IT) stakeholders., • Own the technical win strategy for complex, multi-tower opportunities involving networking, cybersecurity, SASE, Zero Trust, cloud, and managed services., • Architect comprehensive solutions across cybersecurity (Next-Gen Firewall, SASE, ZTA, endpoint, SIEM/SOC), enterprise networking, SD-WAN, cloud connectivity, and compute infrastructure., • Produce high-quality network architecture diagrams, logical and physical designs, and solution overview documents suitable for C-level and technical audiences., • Build detailed Bills of Materials with full line-item accuracy, licensing structures, professional services hours, and margin integrity., • Position and sell BlackHawk's managed services portfolio — including managed SASE, managed firewall, MDR/SOC services, NOC monitoring, and cloud management — as the preferred operational model for clients., • Build outcome-based business cases for recurring and managed services engagements, demonstrating ROI, risk reduction, and operational efficiency against DIY alternatives., • Structure multi-year managed services agreements with appropriate SLAs, pricing models, and renewal incentives., • Maintain deep working relationships with BlackHawk's key vendor partners including Cisco, Palo Alto Networks, Fortinet, Zscaler, CrowdStrike, Microsoft, AWS, Aruba/HPE, and others., • Leverage vendor resources — SEs, deal desk, BDMs, MDF — to support and accelerate strategic opportunities., • Stay current on the SASE and Zero Trust product landscapes including Zscaler, Prisma Access, Fortinet SASE, Cato Networks, and Cisco Umbrella/SD-WAN., • Mentor junior and associate SAs, sharing design patterns, BOM best practices, and client engagement techniques., • Contribute to BlackHawk's solution playbooks, standard architectures, and reference designs., • 7+ years of overall IT experience, including 3+ years in a customer-facing pre-sales Solution Architect, Consulting Architect, or Senior Systems Engineer role at a VAR, MSP, or IT services firm., • Demonstrated experience leading technical discovery, architecture design, and pre-sales engagements for complex networking and cybersecurity solutions., • Deep technical expertise in cybersecurity — including Next-Generation Firewall (NGFW), Secure Access Service Edge (SASE), Zero Trust Network Access (ZTNA), endpoint detection and response (EDR/XDR), SIEM, and identity-based security., • Strong working knowledge of enterprise networking: routing and switching, SD-WAN, LAN/WAN design, wireless (802.11ax/Wi-Fi 6), and network segmentation., • Experience architecting hybrid and multi-cloud solutions (AWS, Azure, GCP) including cloud networking, security controls, and governance., • Proven ability to build and present outcome-based business cases for managed services, recurring revenue programs, and multi-year technology roadmaps., • Experience authoring technical documentation including solution designs, BOMs, SOWs, and RFP responses at a professional quality standard., • Experience with SASE platforms: Zscaler (ZIA/ZPA), Palo Alto Prisma Access, Fortinet SASE, Cato Networks, Cisco Umbrella, or Cloudflare One., • Hands-on familiarity with Zero Trust frameworks (NIST SP 800-207, Gartner ZTA) and their practical implementation in enterprise environments., • Experience positioning and selling managed security services (managed SOC, MDR, managed SASE, managed firewall)., • Background in or exposure to compliance frameworks: NIST CSF, CIS Controls, SOC 2, HIPAA, PCI-DSS, or CMMC., • Cisco CCNP Security, CCNP Enterprise, or equivalent professional-level certification, • Palo Alto PCNSE, PCSAE, or Prisma Certified, • CISSP (Certified Information Systems Security Professional), • AWS Solutions Architect – Professional or Azure Solutions Expert, • Cisco CCIE Security or Enterprise (or in-progress), • A seat at the table: you will directly influence BlackHawk's go-to-market strategy, portfolio decisions, and practice direction., • Competitive total compensation benchmarked to senior SA roles at ePlus, Presidio, and WWT — with an uncapped performance bonus tied to pipeline and closed revenue contribution., • Equity consideration for candidates who demonstrate exceptional impact and growth potential., • Full certification sponsorship, training budget, and access to vendor partner enablement programs., • Vendor demo lab access, evaluation hardware, and cloud sandbox environments to support POC and client demonstration activity., • A fast-moving, founder-accessible culture where decisions get made quickly and great ideas get implemented., • Medical, dental, vision, 401(k) with employer match, flexible PTO, and remote-flexible work arrangement. n3mI6Mn2uO

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Software Engineer to lead the vision setting for and deployment of AI solutions across Uncommon Schools—from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day. Duties & Responsibilities Solution Vision & Architecture • Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems, • Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability, • Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks, • Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring, • Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently, • Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency, • Develop and maintain a library of "Prompt Blueprints" and best practices for AI implementation across the organization, • Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems, • Coach and support adjacent teams on AI development methodologies and emerging best practicesQualifications Required • Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience, • 7+ years of professional software development experience, • 5+ years of hands-on experience building integrations using APIs between applications, • 5+ years working with source control and continuous integration tools (such as GitLab), • Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js), • Experience with frequent, incremental code testing and deployment practices, • Master's degree in Computer Science, Data Science, or related field, • Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch, • Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI), • Experience working with modern data tooling (e.g., dbt, Airflow) or similar frameworks for data transformation and workflow orchestration is a plus, • Experience designing and optimizing prompts for generative AI models, • Track record mentoring or coaching other developers on technical practices Additional Information Compensation Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range. Benefit Highlights • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts, • Location: New York, NY | Hybrid (3 days/week in-office), • Schedule: 3 days per week in-office in accordance with Uncommon Schools policy, • On-call availability: You'll be on-call for data infrastructure emergencies, • Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours, • Travel: Minimal travel, including quarterly school visits and routine local travel within the region As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE: As a Technical Product Lead on the Voice AI Agent team, you'll drive the experience that matters most: making Regal's voice AI agents indistinguishable from the best human agents and the highest-performing in the market. You'll partner closely with engineering to set the product vision for how Regal evaluates, benchmarks, and continuously improves agent quality—building the eval frameworks, defining the performance bar, and translating frontier AI research into production gains our customers can feel on every call. This role sits at the heart of what makes Regal win. You'll work across infrastructure and applied to drive decisions that directly impact conversation quality and competitive differentiation. If you want to shape what "best-in-class" means for Voice AI—and have the technical depth and product instinct to back it up—this role is for you. RESPONSIBILITIES: Define and Own the Quality Bar: Partner with engineering to establish Regal's point of view on what makes the best Voice AI agent—across naturalness, accuracy, task completion, and conversational flow. Translate that vision into measurable standards the entire organization rallies around. Optimize the Latency-Cost-Intelligence Tradeoff: Develop the product strategy for balancing response time, inference cost, and model capability. Partner with engineering to architect a pipeline where customers get the smartest, fastest responses at sustainable unit economics. Build Evaluation & Benchmarking Frameworks: Develop comprehensive eval sets, automated regression suites, and A/B testing infrastructure to ensure Regal's agents stay top-performing as models, prompts, and configurations evolve. Stay at the Frontier: Track emerging trends in LLMs, speech-to-text, text-to-speech, and real-time inference. Evaluate new models, techniques, and architectures and translate the ones that matter into Regal's production stack. Drive Competitive Differentiation: Develop and execute a strategy for how Regal's Voice AI agents outperform alternatives—whether through model selection, latency optimization, or proprietary fine-tuning. Bridge Customers and Infrastructure: Go deep with customers to understand what "quality" means in their specific context (industry, use case, caller expectations), then translate those insights into infrastructure and model-level improvements that scale across the platform. Measure, Iterate, Ship: Define success metrics for agent quality (e.g., conversation completion rate, caller sentiment, response latency percentiles, escalation rate). Build dashboards, run experiments, and drive a continuous improvement loop with engineering and applied AI. Align and Communicate: Set a clear vision for the Voice AI team and communicate it crisply to leadership, engineering, and cross-functional stakeholders. Manage the roadmap, make hard prioritization calls, and keep the team moving fast toward outcomes that matter.ABOUT YOU: Technical Depth with Product Instinct: 4–6 years of experience as a Product Manager, Product Engineer or founder, ideally working on AI/ML products, infrastructure, or developer platforms. This role is Product lead for a research team, so you're comfortable navigating model architectures, inference pipelines, and API design—and you know how to translate that understanding into product decisions that move metrics. Eval & Data Mindset: You think in experiments, benchmarks, and feedback loops. You've built or contributed to evaluation frameworks, A/B testing programs, or quality scoring systems—and you understand why rigorous measurement is the foundation of any AI product. Natural Leader: You set a vision and bring others along. You communicate complex tradeoffs crisply, make decisions with incomplete information, and create clarity for your team in ambiguous, fast-moving environments. Deeply Curious, High Agency: You don't wait to be told what to investigate. You dig into call recordings, run your own experiments, read research papers, and chase down the root cause. You act with urgency and ownership. Preferred Background: Computer Science, Math, or Engineering background preferred but not required. What matters is that you can go deep on technical problems and come back with a clear product direction.Benefits/Perks • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • Subsidized Class Pass membership, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Science Expert Type: Contract Compensation: $70–$120/hour Location: Remote Role Responsibilities • Design realistic, end-to-end data workflows that challenge today's best models., • Grade agent performance on complex scenarios in analytics and business intelligence., • Build scenarios involving SQL analysis, dashboard builds, and A/B test design., • Develop ETL/ELT pipelines, dbt models, and data quality monitoring., • Work on warehouse schema design and Airflow/Dagster DAGs. Must-Have • 3+ years as an analytics engineer, BI analyst, data scientist, or data engineer., • Working fluency in at least two of: advanced SQL, dbt, warehousing (Snowflake, BigQuery, Redshift), experimentation (A/B tests), pipeline orchestration (Airflow, Dagster), metric modeling, Python for analysis., • Comfortable with data artifacts: SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams., • Clear written communication; able to articulate reasoning and data decisions step by step., • Hourly contractor, • Upload resume, • AI interview based on your resume #hiringmercor

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: As a Full Stack Engineer at Moxxi, you will play a key role in building and scaling our performance marketing platform from backend APIs and data services to intuitive, data-rich front-end experiences. You will collaborate closely with product, design, and business stakeholders to create tools that help Ad operators manage, optimize, and personalize campaigns in real time. This is a front-end leaning full-stack role where you will own features end-to-end, contribute to technical strategy, and help shape the evolution of Moxxi's ad delivery and optimization systems. If you thrive in fast-moving environments, love solving complex technical problems, and want to see your code drive measurable business impact, this is the role for you. Responsibilities: • Design, build, and maintain data-rich, low-latency, performant web applications using TypeScript, React, and Next.js., • Develop reusable, responsive UI components and design systems that scale across Moxxi's performance marketing tools and dashboards., • Collaborate with product and design teams to translate complex workflows into intuitive, elegant interfaces., • Build and maintain backend APIs and services (primarily in Go) that support front-end features and integrations., • Work closely with backend and data engineers to deliver campaign analytics, reporting, and personalization features., • Implement robust testing, monitoring, and performance optimization practices for frontend and API layers., • Contribute to architecture discussions, technical design, and system scalability planning., • Ensure code quality, maintainability, and accessibility across all user-facing surfaces., • Mentor and support junior engineers through code reviews and pair programming., • Collaborate cross-functionally with product, design, and operations teams to deliver impactful, user-centered solutions., • Stay current with trends in frontend frameworks, cloud-native systems, and AdTech innovation, bringing fresh ideas into Moxxi's platform.Basic Qualifications:, • 6–10 years of professional software engineering experience, including 4+ years building production-grade frontends., • Strong fluency in TypeScript, React, and modern frameworks like Next.js., • Solid backend experience with Go (Golang), Node.js, or Python, and familiarity with RESTful or GraphQL APIs., • Strong understanding of state management, component architecture, and API design., • Experience integrating with cloud-native environments (GCP preferred) and containerized deployments (Docker, Kubernetes)., • Knowledge of SQL/NoSQL databases and basic data pipeline concepts., • Excellent product sense and ability to translate business needs into clean, maintainable solutions.Nice to Have / Bonus Qualifications:, • Experience in AdTech, MarTech, or marketing analytics platforms., • Background in data visualization or interactive analytics using tools like D3.js or Recharts., • Familiarity with AI/ML-driven personalization, A/B testing frameworks, or campaign experimentation systems., • Experience building and maintaining design systems or component libraries., • Familiarity with performance optimization techniques (lazy loading, bundle analysis, caching).Moxxi Values & Competencies:, • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range$150,000—$180,000 USD

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $10M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Own the candidate journey from discovery to close, eliminating administrative friction and ensuring a world-class experience for every hire. * Create automated workflows that scale our reach while maintaining the level of personal touch required to attract talent. * Build a system to identify and engage candidates by treating the recruiting funnel with the same level of rigor as a sales or product pipeline. * Establish the narrative that attracts exceptional people to Clarion and ensures we are the first choice for the most ambitious candidates. Requirements * 2-4+ years in talent acquisition in high-growth SaaS or early-stage startups. You have a track record of identifying and landing high-caliber technical talent. * A clear, compelling communicator who can translate Clarion’s mission into a narrative that resonates with the most ambitious candidates. * Comfortable in fast-paced, unstructured environments. You are proactive about identifying process bottlenecks and solving them before they scale. * Ability to manage complex hiring projects from start to finish, coordinating across multiple teams with high precision. * Excited to work in-person at our NYC office. You are a good fit if * You believe the best companies are won or lost on talent density and speed of hiring. * You view hiring as a discipline that requires persistent optimization and modern tooling. * You’re highly organized and can balance multiple roles while maintaining a clear view of company priorities. * You move faster than the competition and understand that speed is a competitive advantage in talent acquisition. * You thrive in a fast-paced environment and want to shape the foundational culture of a company from day one. What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Experience Deep Dive (45min) [Virtual]: We'll explore your recruiting experience, how you've built pipelines for hard-to-fill roles, and your approach to creating hiring processes that scale. * Team Day (Half-day) [In-Person]: Visit our New York office to meet our team. You'll work through a recruiting challenge, showing your strategic thinking and operational rigor. You'll also get a sense of our company culture and working environment. If you're ready to build the talent engine that will transform healthcare communication, we’d love to hear from you. Compensation Range: $100K - $150K

Job Description Atto Trading is a quantitative trading firm operating a portfolio of signal-driven high-frequency strategies in cash equities and futures. We are looking for a Trading Operations Engineer to join our team. As we expand into new markets, it's an especially exciting moment to join our international and diverse group of experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. We work in an environment of learning & collaboration, which allows us to solve the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. What we do: We trade stocks, and futures almost on all US exchanges such as: NASDAQ, NYSE, ARCA, EQ Cboe, CME, CFE, etc. Position Highlights: • You’ll play a critical role in the operation and monitoring of low-latency trading strategies implemented at Atto Trading., • You’ll perform proactive analysis and upgrading of trading pipelines by writing scripts to automate and improve daily trading processes and reporting. Advantages of our Company: • A company that continually invests in updating the technology stack., • Creative approach in choosing the hardware and software for the work you do., • A great team with a passion for continuous learning and improvement., • No external clients, we are the only users of the products we create., • Opportunity to have an impact on the company's bottom line by holding a significant position in the company. Responsibilities: • Monitor and manage Atto Trading’s automated trading systems, ensuring smooth and uninterrupted operations., • Proactively assess live trading activity for risk and compliance concerns, responding swiftly to unusual market behavior., • Collaborate with traders, engineers, brokers, and exchanges to resolve intraday issues in real time., • Communicate directly with exchanges and clearing members to investigate and resolve live trading issues., • Partner with software engineering teams to enhance and maintain trading infrastructure and internal monitoring systems., • Automate and optimize trading support workflows and pipelines using Python and Bash scripting., • Support daily risk operations by generating reports and executing defined risk procedures., • Document production incidents and maintain comprehensive logs and monitoring protocols., • Manage and maintain enterprise systems related to pipeline scheduling, software releases, and operational monitoring., • 2+ years of experience in a trade support or risk operations role within financial markets (preferably with exposure to HFT)., • Strong hands-on experience with Python/Jupyter/SQL for data analysis and automation., • Experience using Unix/Linux systems and command-line tools., • Strong analytical and critical thinking skills with sharp attention to detail., • Proven ability to manage multiple priorities in fast-paced environments., • Strong interest in trading and finance, with a solid knowledge of electronic markets, market data, and exchange order entry systems., • Competitive compensation package, • Performance-based bonus opportunities, • 401k plan, • Mental health support, including access to therapy, • Paid time off (25 days), • Relocation support (where applicable), • International team meet-ups, • Learning and development support, including courses and certifications, • Access to professional tools, software, and resources, • Fully equipped workstations with high-quality hardware, • Modern office with paid lunches The base salary for this role is between $150,000 and $200,000. This does not include bonuses, benefits, or other components of total compensation.

Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always. As a Staff Software Engineer, you will play a key role in the entire engineering lifecycle from design, documentation, build, test and maintain our SmithRx product suite. You will advocate and bring best practices/methodologies, coding standards and large-scale system design perspectives to our team. We need our engineers to be versatile and driven, display leadership and ownership qualities, and be enthusiastic to take on new challenges as we continue to push technology forward. What you will do: • Focus on back-end architecture; designing, developing and maintaining SmithRx product features using various languages such as Golang, JavaScript/Typescript, Node, GraphQL, and SQL (amongst others), while leveraging full CI and CD to iterate quickly, • Collaborate with stakeholders and technical leads to understand functional and technical requirements to produce high-quality, scalable software and services, • Provide scope and risk estimates for system and feature builds by building technical design documentation, • Continually apply software development best practices, design patterns, testing, automation, tools and technologies., • Leverage AWS technologies, like Lambda and Fargate, to handle various types of jobs and batch processing, • Troubleshoot production issues by performing triages for issues that arise, assessing the impact, creating and executing a plan for short-term and long-term mitigation, and performing root cause analysis to prevent future occurrence of issues., • Coach/mentor junior team members in their assigned engineering projects by reviewing and providing feedback on code developed, and performing design and code reviews, • Work with senior leadership to turn technical vision into a tangible roadmap every quarter, • BS or advanced degree in computer science or applicable experience, • 5-8 years of software development experience working on server-side applications, specifically around API servers, third party integrations and data processing, • Experience at a high-growth startup a plus, • Expertise in a compiled language such as Go, Java or Kotlin is required, • Proficiency with relational databases such as PostgreSQL, including schema design, SQL tuning, and database monitoring is required, • Demonstrated experience designing and implementing scalable APIs; a solid understanding of design patterns, database design, and testing best practices., • Working knowledge of GraphQL APIs, CI and CD pipeline, AWS platform, Docker, and Kubernetes a plus, • Positivity; non-dogmatic, team-first attitude, • Flexibility; someone who is responsive and comfortable with ambiguity, • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Team CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production. This is a role for a technical leader who operates across team boundaries. You'll own the hardest problems in developer productivity at CoreWeave, by setting the technical strategy for DevEx, removing systemic friction across the engineering org, and shaping the agentic developer platform that will define how engineers build software here for years to come. What You'll Do • Define and drive the technical strategy for the DevEx platform. Set the long-term architectural direction across CI pipeline infrastructure, test experience, delivery systems, artifact management, and agentic developer tooling, balancing engineering excellence with business priorities and org-wide scale., • Solve the highest-complexity developer productivity problems at CoreWeave. Identify systemic bottlenecks that span teams, design solutions that operate reliably across 40+ data centers, and drive execution from architecture through production., • Lead the agentic developer platform from a technical standpoint. Evolve the architecture of MCP servers, tool integration, and agent-accessible DevEx APIs so that autonomous workflows become a first-class primitive for every engineer at CoreWeave., • Drive cross-team technical initiatives. Work across DevEx, infrastructure, security, SRE, and product engineering to align on platform direction, resolve deep architectural trade-offs, and establish engineering standards that raise the bar org-wide., • Mentor and develop Senior II engineers. Actively coach ICs, elevate technical decision-making across the team, and build the engineering depth needed to sustain DevEx as CoreWeave scales., • Proactively reduce systemic risk. Identify technical debt and reliability gaps before they become incidents, and drive durable improvements to platform resilience, efficiency, and developer trust.What We're Looking For, • 10+ years of software engineering experience with significant time spent building and owning production developer platforms, build infrastructure, or large-scale distributed systems., • Demonstrated ability to define and execute multi-year technical strategies across complex, cross-team domains., • Deep systems design expertise. You design for correctness, scalability, and long-term maintainability. You have strong opinions on API design, service architecture, and platform abstractions, and you can articulate why., • Proficiency in Go, Python, or similar languages with a track record of shipping large-scale production services in cloud-native environments., • Expertise in Kubernetes and IaaC (Infrastructure as Code) at the platform design level. You understand the scheduler, the API machinery, and the extension points., • Experience with or strong leadership interest in AI-native developer tooling, including agentic frameworks, LLM-integrated developer workflows, or autonomous software development agents., • Proven ability to influence technical decisions at the organization level, build alignment across teams with competing priorities, and communicate clearly with engineering leadership., • A track record of growing senior engineers and building technical strength in the teams around you. You are an inspiring leader.Nice to Have, • Deep expertise in one or more DevEx domains, including large-scale CI, build and test systems (Bazel, Buildkite, remote execution, caching), deployment (GitOps, ArgoCD), artifact storage and distribution, or ephemeral development environment infrastructure., • Hands-on experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments., • Experience architecting and landing agentic systems at scale, including designing MCP servers, agent governance models, or tool-augmented LLM workflows that operate reliably in production with consistent user-facing value-add. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Book of the Month is seeking a dynamic Product Design Engineer to act as the bridge between design and engineering. This role is a blend of product, design and engineering as a result of Claude code entering the business. As a part of the Product Team, this role will report into our VP of Product and work closely with the UX design team to optimize their workflow to get designs up on our site and app faster and more efficiently. What you will do… • Optimize the design to site pipeline for components and pages to minimize cycle time from Figma to production., • Own creating new components from Figma to Storybook using generative coding tools., • Partner with design to update the design system to make it more legible for Claude., • QA all components and get sign off from UX design before deploying to Storybook or production., • Partner with engineering on creating infrastructure to support quick design deployments to our site and app., • Optimize marketing design workflow by creating tools using Claude code or other coding tools that support landing page multivariate testing., • Degree in CS or Product Design required., • 1-2 years of work experience as a Front End Engineer or Product Designer, but we’re open to various levels of experience., • Excited about building a new set of design tools, leveraging Claude, that gets new designs in front of members efficiently., • You love problem solving and feel empowered by the new Claude code tools and the use of it in the design-to-production pipeline., • Knowledge of Figma with the ability to navigate it comfortably and inspect., • Familiarity with design systems and how they are structured. ZUHbaHdaBr

Job DescriptionAbout Goodie AI: Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand and influence how they’re represented. Goodie gives teams a full AI control plane: real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance. This category didn’t exist two years ago - we were early, and we’re defining it. We’re backed by strong investors, trusted by category-leading customers, and scaling fast. We’re hiring curious, ambitious builders to help shape the future of AI search. We are looking for: We're seeking an exceptional Senior Software Engineer to join our rapidly growing AI Lab. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers and Machine Learning Engineers to design and build scalable, industry-leading AI solutions. You'll do: * Lead the development of our AI platform, focusing on scalability, speed, and user experience. * Architect and develop front-end solutions using React to create smooth, engaging, and intentional user experiences. * Implement back-end infrastructure with a focus on speed, scalability, security, and seamless integration with various platforms via robust API connections. * Utilize DevOps practices to manage the deployment pipeline, ensuring efficient, reliable, and secure software delivery. * Collaborate with UX/UI Designers to translate web designs into functional, intuitive user interfaces. * Work closely with Data Scientists to ensure accurate data collection, analysis, and application within the platform. * Participate in the entire application lifecycle, from coding to debugging and testing, with an emphasis on quality and performance. * Maintain and optimize the performance of existing applications. * Stay up-to-date with emerging technologies and explore potential integrations to enhance our operations. You have: * 5+ years of full-stack development experience with a proven track record of building high usage B2B software applications. * Proficiency in React for front-end development, with a strong understanding of how to build responsive, high-performance web applications. * Experience with server-side languages such as Python, Node.js, or Java. * Strong understanding of DevOps practices and experience in software deployment, including CI/CD pipelines, containerization (e.g., Docker), and cloud infrastructure (AWS, Google Cloud, or Azure). * Solid knowledge of database management systems (e.g., MySQL, PostgreSQL, MongoDB). * Experience with RESTful APIs, API integration, and data exchange formats (JSON, XML). * Familiarity with software development best practices, including version control (Git), testing, and continuous integration/deployment (CI/CD). * Excellent problem-solving skills and the ability to debug complex systems. * Strong leadership and communication skills, with the ability to collaborate effectively with cross-functional teams. * Passion for ad tech and a desire to work in a fast-paced, innovative startup environment. * BS in Computer Science, Engineering, or a relevant field. EEO & Compensation Transparency: Goodie AI is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $130,000-$160,000. At Goodie AI, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, Goodie AI is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as Goodie AI team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Ashby- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Job DescriptionWho We Are CleanCapital is a leading independent power producer focused on distributed clean energy, including middle-market solar and energy storage. The company develops, builds, owns, operates, and invests in clean energy assets across the U.S. Leveraging over a decade of clean energy expertise and over $1.5 billion in investments, CleanCapital has built a diverse portfolio of operating assets and a growing project pipeline. By combining institutional capital with in-house expertise and regional development partnerships, CleanCapital delivers economically sound projects that drive more clean megawatts to the grid, solidifying energy dominance in the U.S. Location of Position: This position is a hybrid position, with two days a week being required in the NYC office location. Travel to jobsites will be required on an as-needed basis. What We Offer • Opportunity to join a top-notch, collaborative team of professionals, • Fantastic team environment and collaborative culture, • Professional development opportunities to grow into an industry leader, • 100% paid for single and family benefits plus 401k matching program Position Summary The Assistant Project Manager, Construction role will support the construction team and Senior Project Managers in planning, coordinating, executing, and overseeing solar and battery storage construction projects on time, within budget, and in compliance with safety and quality standards. The APM will play a critical role in managing day-to-day project operations, maintaining project documentation, coordinating with EPCs and equipment vendors, budgeting and completing cash management, and ensuring quality projects are placed-in-service and brought to substantial completion. The ideal candidate will also be AI-curious and forward-thinking, who actively integrates AI tools into their daily professional routine Core Responsibilities Project Coordination and Operations • Act as the main point of contact on projects of varying size and type, • Transition projects from development complete stage to turnover to asset management team, • Assist in preparation of RFPs and bidding processes, • Assist in contract preparation and negotiation, • Generate schedules as needed using Microsoft Project to assess project timelines, • Monitor project progress and report back to the teamMaintain Project Documentation, • Review project documents such as PVSysts, civil, structural, and electrical drawings, permits, leases, interconnection agreements, etc., • Maintain organized project files such as contracts, purchase orders, safety plans, RFIs, submittals, QA-QC reports, meeting minutes, monthly reports, close-out documentation, etc., • Review contractor generated files such as RFIs, submittals, and QA-QC reporting and provide comments/feedback as necessary, • Prepare internal reports as required, • Maintain internal logs and record keeping as required, • Complete other miscellaneous project documentation, such as EIA reporting, project incentive paperwork, utility and interconnection portal uploads, GATS and PSC registration, insurance and bonding requirements, etc.Coordinate with EPC and Equipment Vendors, • Meet with the contractor and run/host contractor meetings to determine project status, • Complete site visits at project milestones to review EPC progress, • Support procurement of materials and equipment, including issuing POs and tracking deliveries, • Coordinate storage and freight for owner-supplied materialBudget and Cash Management, • Review and oversee all contractor/EPC/and equipment vendor invoices, • Work with accounting to guarantee all invoices are processed and provide information as needed, • Utilize CleanCapital budgeting procedures to analyze project costs and forecast cash management needs, • Negotiate change orders, • 2-3+ years of experience in the following areas:, • Construction Management, • Budgeting, Cost Control, and Invoicing, • Scheduling, • Contract/PO Review and Negotiation, • Must have previous experience as a Project Engineer or Assistant Project Manager, • Must have previous experience in renewable energy and solar projects, • Proficient in Microsoft Word, Microsoft Excel, and Microsoft Project, • Proficient (or familiar with) in Bluebeam Revu, • Must have the ability to define issues, analyze problems, evaluate alternatives, and develop sound conclusions, • Proven ability to work well within a multidisciplinary team., • Strong analytical, organizational, and problem-solving skills., • Keen attention to detail., • Project management skills., • Entrepreneurial mindset with the ability to take ideas and run with them from concept to conclusion., • Exceptional verbal and writing communication skills with superiors, peers, partners, and other stakeholders. Work Conditions If working remotely, your work environment is what you make of it, however CleanCapital encourages everyone to have a dedicated workspace that, for the most part, can be free of distractions. If working in one of our Corporate Offices, the work environment is usually quiet (normal city traffic noises are common), a blend of artificial and natural light, temperate and generally supports a collaborative work environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Employment Opportunity Statement CleanCapital provides equal employment opportunities to all employees and applicants in all company facilities without regard to race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. Powered by JazzHR bELUV3kFEK

Job Description📌 About Alpaca Health Alpaca Health enables clinicians to become entrepreneurs, starting in autism care. We help clinicians launch and scale their own clinics by providing AI-powered software, payer contracting, and full back-office infrastructure. Our goal is simple: shift power in healthcare away from large consolidated entities and back to clinicians. We've raised over $14M in funding from early-stage investors like Core Innovation Capital, Adverb Ventures, and South Park Commons, and are building for long-term category leadership. More importantly, we're serving hundreds of patients, while growing 30% MoM. This role is full-time. We’re looking for candidates based in NYC or open to relocating who are open to 5 days a week in the office. 🎯 Role: Senior Software Engineer We're a tiny engineering team building something large. You'd be the person who owns the platform foundation — the data models, the money logic, the state machines, the API contracts, the AI infrastructure. Not "owns" in the sense of reviewing PRs. Owns in the sense of: you designed it, you built it, you stand behind it. One day you're designing a schema migration strategy. The next you're building an LLM pipeline for clinical documentation. The day after that you're debugging a billing edge case that only appears when Colorado Medicaid is the secondary payer. This isn't a job for someone who wants to specialize. It's a job for someone who gets uncomfortable when critical business logic lives in someone's head instead of in code. 🚧 What You’ll Own * The core domain model. Patients, providers, credentials, authorizations, sessions, claims, payments. You design how Alpaca represents these things — and how they evolve without breaking what's already in production. * Money invariants. The rules governing how money moves — rate calculations, payout conditions, payroll logic — live in code, not Notion docs. You make them testable and enforceable. * Lifecycle state machines. Patients, claims, authorizations, credentials — each has explicit states and valid transitions. The system physically cannot enter impossible states. * Schema evolution. Migrations run before features ship. Nothing breaks when the model changes. * AI infrastructure. We're already shipping LLM-powered clinical workflows. You build the foundation that makes them reliable, auditable, and safe in a healthcare context. * Security and HIPAA. Access controls, audit logging, encryption. You own the technical posture for a platform handling PHI. * Production. Deploy it, monitor it, and pick up the phone when it breaks at 2am. 🧠 Who You Are You've spent 4+ years somewhere correctness actually mattered — fintech, insurance, healthcare, logistics. You've felt what it's like when business rules are implicit, when the data model doesn't match reality, when someone hot-patches production because the migration wasn't thought through. You don't want to build that system. You think in state machines before you write code. You'd rather ship right than ship fast. You're senior enough to make hard technical calls but you still want to be the one making them in code, not in meetings. Bonus if you've shipped LLM features in production (RAG, evals, guardrails), worked with event sourcing or ledger architectures, or have healthcare/EHR experience. 🚀 Why Join Now The decisions made in the next year — how the domain model is structured, how state machines are enforced, how AI workflows are built safely — will define the system for a long time. You'd be joining after product-market fit but before the platform has fully caught up to the business. Not "rescue a failing system." Build the foundation that lets a working, fast-growing system scale correctly. Founding engineer autonomy, real ownership, and a company that's clearly on its way somewhere. Compensation Range: $150K - $250K

Job DescriptionCareer Renew is recruiting for one of its clients a Solutions Engineer - Media Generation - this is a fully remote role for US-based candidates. Salary range: 100-150K USD plus benefits plus equity. We are the leading independent AI benchmarking and insights company. We support engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don't just measure the cutting edge of AI, they are actively shaping the frontier. Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist. We are a team of 30+, on track to double by mid-year, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, Deeplearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. We’re hiring a Solutions Engineer to manage our media generation benchmarking pipeline. You’ll run image and video generation evaluations, manage human preference studies, and serve as a technical point of contact for media generation model providers. This is a process-driven, operational role suited to someone who is detail-oriented, comfortable with Python, and can manage pipelines reliably day-to-day. What You’ll Do * Generate image and video outputs across models according to standardized evaluation protocols * Set up and manage human preference evaluation studies, including study design, participant management, and quality control * Process and analyze preference vote data to produce benchmark results * Manage the end-to-end pipeline: from prompt execution through to published results * Serve as a technical point of contact for media generation model providers — communicating results, explaining methodology, and handling queries * Monitor data quality, flag anomalies, and ensure consistency across evaluation rounds * Maintain documentation of processes and configurations * Stay current with new image and video model releases Tech stackPython Requirements: 3+ years of experience in a technical, client-facing role such as support engineering (Mandatory) Proficient in Python scripting and working with APIs (Mandatory) Background in data analysis, research operations, or other process heavy roles (Mandatory) Experience with AI, particularly image/video generation models (Nice-to-have) Comfortable in a purely operational/execution-focused role, not a builder role (Mandatory)

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: As a Senior Insider Risk Engineer, you will lead the technical engineering of our user-centric monitoring capabilities. Your primary focus will be the development, tuning, and optimization of Data Loss Prevention (DLP) policies and the ingestion/analysis of cloud-native, endpoint and SaaS audit logs. You will operate with a high degree of autonomy in designing, implementing, and evolving detection logic and telemetry pipelines, transforming raw telemetry into actionable behavioral intelligence. About the role: • DLP Policy Engineering: Design, develop, and deploy advanced detection logic and use cases within the Insider Risk platforms to identify unauthorized data movement, anomalous system activity, and policy violations. Independently identify gaps in detection coverage and propose, implement, and tune new DLP use cases to address emerging insider risk scenarios., • Cloud & SaaS Telemetry Analysis: Work with Security Engineering department to ingest and normalize high-fidelity telemetry from cloud environments, SaaS services, and endpoint agents into the Insider Risk security stack/tooling., • Behavioral Detection Development: Design and implement technical "tripwires" and behavioral models that identify patterns associated with data exfiltration, such as unusual download volumes, unauthorized file sharing, or anomalous access to sensitive repositories., • Data Pipeline Oversight: Define telemetry requirements and partner with Security Engineering to build and maintain high-fidelity data pipelines from DLP agents and cloud providers into our monitoring platforms., • Technical Incident Support: Serve as the technical subject matter expert during complex investigations, providing deep-dive forensic analysis, log reconstruction and evidence gathering and preservation. Drive improvements to investigative tooling, detection feedback loops, and post-incident telemetry requirements., • 7+ years experience in Security Engineering or Security Operation and 4+ years of DLP or user-centric monitoring experience., • Demonstrated expertise in configuring and/or managing enterprise-grade DLP solutions (e.g. Proofpoint ITM, Netskope, Digital Guardian, Forcepoint or Symantec) and cloud-native security tools., • Deep proficiency in analyzing and querying cloud audit logs to reconstruct user activity., • Strong command of data analysis languages to parse large datasets and identify behavioral trends., • Experience building or maintaining User and Entity Behavior Analytics (UEBA) logic., • Experience with Cloud Security Posture Management (CSPM) and managing visibility in multi-cloud environments., • Knowledge of data classification frameworks and the technical implementation of data labeling/tagging., • Familiarity with global privacy regulations (e.g.GDPR, CCPA) and the technical requirements for compliant data monitoring. At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description 28Stone is a full service custom solutions firm. We offer a wide range of services - from ‘tip of the spear’ advisory, application design, system architecture to implementation, testing and deployment. We partner with the world’s leading financial institutions to design and build robust financial applications that improve their business performance while reducing system risk, cost and time to market. We develop technology of value: we are proud of our proven track record of delivering quality results and the trust our clients place in us with ongoing, repeat engagements. Role Summary This L3 Production Support Engineer role demands equal parts capital markets knowledge and technical depth. You will be the person who can trace a broken trade from front-office order entry through OMS processing, reconciliation, and downstream reporting — and simultaneously drop into SQL Server to interrogate the data at the source. You understand fixed income and credit instruments, how they flow through a trading lifecycle, and why data breaks in the ways they do. And you write serious SQL — not occasional queries, but complex joins, window functions, stored procedures, and schema-level investigation as a daily practice. Important: All candidates will complete a live SQL assessment as part of the interview process. This reflects what the role actually requires day to day. What You’ll Do: • Investigate and resolve complex L3 production issues involving trade data, positions, holdings, reconciliation breaks, and downstream reporting failures., • Trace issues end-to-end across the trading lifecycle — from order and execution through allocation, settlement, and accounting feeds — to isolate root cause., • Write, debug, and optimize T-SQL queries daily: complex joins, window functions, CTEs, views, and stored procedures., • Author and modify stored procedures as part of issue resolution and ongoing operational improvements., • Diagnose failed data imports/exports, ETL failures, interface errors, and data feed disruptions across OMS, accounting, and custody systems., • Partner directly with portfolio managers, traders, operations staff, and technology teams to communicate findings and drive resolution., • Document issues and resolutions clearly; contribute to operational runbooks and knowledge base articles., • You’ll work on production systems that directly support active trading desks — the problems are consequential and technically complex., • 28Stone operates at the senior end of the market; you’ll work alongside experienced capital markets practitioners and engineers who have seen it all., • Your expertise is the product — there’s no bureaucratic buffer between your skills and the impact you have., • Trading workflow expertise: You understand the full trade lifecycle in fixed income and/or credit markets — order, execution, allocation, settlement, reconciliation — and can reason about where and why data breaks occur., • Hands-on T-SQL / SQL Server: Daily, production-level SQL: complex joins, window functions, CTEs, views, stored procedures. You read and write them under pressure, not just reference them., • Stored procedure development: You can author new stored procedures and modify existing ones as part of resolving production issues., • Production support experience: Background supporting mission-critical systems in a financial services environment, with clear ownership of incident investigation and resolution., • Communication under pressure: Ability to translate technical findings clearly to both engineering teams and non-technical trading/operations stakeholders., • Experience with OMS or portfolio management platforms such as Everest (Allvue/Black Mountain), Charles River (CRD), or Bloomberg AIM., • Familiarity with XSLT/XML data transformations., • Exposure to ETL pipeline troubleshooting and data feed architecture. Employment Details: • This is a contractor position only (C2C)., • Looking for individuals with 5+ years of experience., • Candidates should be prepared to demonstrate their hands-on SQL skills during the interview process. This may include tasks such as writing, modifying, and troubleshooting SQL Server queries and stored procedures in real time to solve data problems or answer technical scenarios relevant to the role., • Compensation ranges from $80-110 per hour based on experience and qualifications. Higher rates may be considered for exceptionally strong candidates., • Candidates should be local to the NYC Area and can work in a hybrid model (3 days in the office.) We are flexible and take an individualized approach with each candidate we meet, so we encourage you to apply even if you do not meet every listed requirement. Only candidates who have the right to work in USA are considered for this position.

Job Description Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. Location: NYC, New York - Onsite Work Required We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial services environment. This role primarily supports data engineering, reconciliation processes, and enterprise productivity tooling on platforms serving millions of customers worldwide. Key Responsibilities: • Develop, maintain, and optimize ETL pipelines primarily using Python and Informatica., • Design and implement data workflows on Snowflake or comparable cloud data platforms., • Build reliable data reconciliation tools and enterprise automation scripts to support business-critical operations., • Write efficient, maintainable, and well-tested Python code following object-oriented principles., • Develop and optimize complex SQL queries for data extraction, manipulation, and analysis., • Automate the management of data workflows using scripting languages such as Shell, Bash, or PowerShell., • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions that improve data integrity and operational efficiency., • Strong proficiency in Object-Oriented Python development., • Experience designing and executing ETL processes, preferably with Informatica., • Hands-on experience with modern cloud data warehouses such as Snowflake, Redshift, or BigQuery., • Solid SQL skills for complex query writing and performance optimization., • Proficiency in scripting languages like Shell, Bash, or PowerShell., • Understanding of data modeling, data pipeline optimization, and distributed data processing concepts., • Familiarity with software development best practices, source control, and CI/CD pipelines., • Experience working in Agile environments., • Full working proficiency with English (Written and Verbal) Preferred Qualifications: • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $5.5M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Serving as the CEO's right hand to drive priority initiatives, track progress against goals, and identify operational bottlenecks * Managing our AI agent deployment pipeline from initial customer onboarding through ongoing optimization * Building and documenting scalable processes for customer implementation, quality assurance, and ongoing support * Creating dashboards to track key metrics across customer success, AI agent performance, and business operations * Managing vendor relationships and evaluating new tools to support our growing operations Requirements * 2-4 years of experience in consulting, investment banking, business operations, or high-growth startups * Clear communicator who builds trust easily with healthcare customers and team members * Experience managing projects from start to finish and coordinating across different areas * Good with numbers and able to spot trends that help guide business decisions * Excited to work in-person at our NYC office You are a good fit if * You're highly organized and can balance multiple strategic initiatives while maintaining a clear view of company priorities * You're proactive about identifying both risks and growth opportunities across the business * You're comfortable working in a fast-paced environment and can adapt your approach as company needs evolve * You're naturally curious about healthcare workflows and passionate about improving them with technology * You take ownership of outcomes and measure your success by company and customer metrics What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Experience Deep Dive (45min) [Virtual]: We'll explore your operational experience, how you've managed complex projects, and your approach to building scalable processes. * Team Day (Half-day) [In-Person]: Visit our New York office to meet with co-founders, team members, and potential collaborators. You'll work through operational scenarios, discuss strategy, and get a sense of our company culture and working environment. If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $100K - $150K

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: Join CoreWeave's Observability team, where we are building the next-generation insights layer for AI systems. Our team empowers internal and external users to understand, troubleshoot, and optimize complex AI workloads by transforming telemetry into actionable insights. About the role: As a Senior Software Engineer on the Observability Insights team, you will lead the development of agentic interfaces and product experiences that sit atop CoreWeave's telemetry layer. You'll design multi-tenant APIs, managed Grafana experiences, and MCP-based tool servers to help customers and internal teams interact with data in innovative ways. Collaborating closely with PMs and engineering leadership, your work will shape the end-to-end observability experience and influence how people engage with cutting-edge AI infrastructure. Who You Are: • 6+ years of experience in software or infrastructure engineering building production-grade backend systems and distributed APIs., • Strong focus on developer-facing infrastructure, with a customer-obsessed approach to SDKs, CLIs, and APIs., • Proficient in reliability engineering, including fault-tolerant design, SLOs, error budgets, and multi-tenant system resilience., • Familiar with observability systems such as ClickHouse, Loki, VictoriaMetrics, Prometheus, and Grafana., • Experienced in agentic applications or LLM-based features, including grounding, tool calling, and operational safety., • Comfortable writing production code primarily in Go, with the ability to integrate Python components when needed., • Collaborative experience in agile teams delivering end-to-end telemetry-to-insights pipelines.Preferred:, • Experience operating Kubernetes clusters at scale, especially for AI workloads., • Hands-on experience with logging, tracing, and metrics platforms in production, with deep knowledge of cardinality, indexing, and query optimization., • Experienced in running distributed systems or API services at cloud scale, including event streaming and data pipeline management., • Familiarity with LLM frameworks, MCP, and agentic tooling (e.g., Langchain, AgentCore).Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk., • You love transforming complex telemetry into actionable insights., • You're curious about agentic interfaces and the future of AI observability. At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton) Type: Contract Compensation: $90–$130/hour Location: Remote Role Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics., • Design challenging, domain-relevant tasks across multiple specializations. Write accurate and well-structured solutions to MLOps and ML systems problems., • Evaluate MLOps tasks and solutions. Provide clear, written technical feedback., • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. Must-Have • 5+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization., • Hands-on production experience with JAX and/or PyTorch at scale, including distributed training strategies (FSDP, tensor parallelism, pipeline parallelism), memory optimization, and framework-level debugging., • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton, including tiling strategies, memory layout design, and kernel fusion., • Demonstrable career progression., • Ability to engage reliably for at least 30 hours/week during weekdays., • W-2 employment with Cincinnatus LLC., • Upload resume, • AI interview based on your resume

Job DescriptionCompany Description This is a fully remote role in the US for EST and CST time zones. Very Important for you to understand - Our goal is to help you set up a 30-minute conversation with the Founder and CEO of our SaaS client, who's a rapidly growing Series A SaaS based in New York City. This role is built for a true hunter who thrives on sourcing their own pipeline, not waiting for it. You will own the full sales cycle from prospecting to close. You will be responsible for generating your own leads, breaking into new accounts, and consistently hitting and exceeding a $1M quota in the mid-market segment. This is not a plug-and-play environment. You will help build and refine the sales motion as you go, documenting what works and contributing to a repeatable process. Success here is measured by your ability to create opportunities, win business, and drive results. For top performers, this role is also a clear path to growth. As you prove success in mid-market, you will have the opportunity to step into enterprise selling and help build that motion as well. Are you looking to lead AI Transformation in the Architecture, Engineering, and Construction (AEC) Industry? The Architecture, Engineering, and Construction industry is one of the largest and most complex sectors in the world. It manages billions in capital projects, thousands of moving parts, tight timelines, and razor-thin margins. Yet much of it still runs on fragmented systems, spreadsheets, and reactive decision-making. This is about to change. Our SaaS client is building the category-defining AI platform purpose-built for the 20,000 largest AEC firms across North America. Their mission is to give leaders real-time visibility into resource allocation, forecasting, workforce planning, and financial performance, enabling them to operate with precision. The opportunity is massive: • 20,000 enterprise and upper-mid-market AEC firms, • Billions in annual project spend If you want to dominate a defined vertical, engage enterprise decision-makers, and build something category-leading in AI-powered planning, this is your arena. Our client is an AI-driven SaaS platform transforming workforce intelligence and operational planning for modern organizations. Founded just over five years ago, our client has grown to 50+ employees and was recently ranked on the Inc. 5000 as one of the fastest-growing software companies in the country. Their platform replaces spreadsheets and legacy tools with a unified, AI-powered system that connects workflows, integrates with existing software ecosystems, and delivers real-time visibility into how organizations allocate and optimize their people. The company has achieved strong market validation, rapid revenue growth, and industry recognition, positioning it for continued expansion into larger mid-market and enterprise accounts. If you have experience selling complex SaaS products in high-growth startup environments and want meaningful ownership in the next stage of scale, this is your opportunity. Culture This is a high accountability, high ownership startup environment. You will work directly with the Founder and the CRO, contributing not only to revenue execution but to defining the mid-market strategy itself. They are intentionally looking for sales professionals who have succeeded in Series A, B, or C environments, selling technically complex software. Benefits • Equity, • Medical, dental, and vision coverage, • 401k with company match, • Team events and collaborative culture, • Real opportunity for upward mobility as the company scalesJob Description Our client is hiring three Mid-Market Account Executives who can sell complex, full-platform SaaS solutions and operate in a high-growth startup environment. You will sell a technically complex platform and will work directly with the founder and CRO to shape the mid-market strategy. This is not a plug-and-play role inside a fully built sales machine. We are looking for disciplined, metrics-driven sales professionals who have experience navigating multi-stakeholder buying processes for technically complex products. Responsibilities • Own the full sales cycle from outbound prospecting through close., • Drive new logo revenue in the mid-market segment., • Run in complex buyer environments and multi-stakeholder deals., • Close platform SaaS deals in the $30K-$60K ARR range., • Consistently achieve or exceed annual quota ($1M-$1.2M)., • Partner closely with Sales Engineering and Leadership., • Help refine and mature the mid-market sales motion.Qualifications, • 5-10 years of B2B SaaS full-cycle sales experience / closing new clients (not existing)., • Proven experience closing mid-market deals in the $30K-$60K ARR range with a track record of meeting or exceeding annual quotas of at least $1.1M., • Proven success in startup environments. You've already been successful in a startup before., • Experience selling full platform SaaS products such as CRM, ERP, project management, workflow systems or similar software with tech complexity., • Highly preferred but not required: Experience selling in the Architecture, Engineering, and Construction (AEC) industry or similar to this industry., • Ability to clearly articulate your personal sales framework and why buyers purchase from you., • Comfortable navigating longer, multi-stakeholder sales cycles., • Highly independent, self-motivated, and entrepreneurial. We value your time and move efficiently. The full process is designed to take approximately 2-3 weeks from initial conversation to decision. Step 1: Introductory conversation with the Head of Talent Acquisition at SaaS Talent Step 2: 15-30 minute phone call with our client’s Founder Step 3: 45-minute Zoom sales interview with their Sales Solutions Engineer Step 4: 1-hour in-person interview with their Founder and CRO Then, 2 to 3 professional references from direct managers. Then an offer. Final decisions are made quickly following the in-person meeting. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here:

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data science, analytics engineering, business intelligence, SQL analysis, experimentation, data engineering, and structured data workflow review. This role supports current and upcoming remote consulting opportunities focused on structured data science review, analytics workflow analysis, business intelligence assessment, experimentation review, data pipeline evaluation, metric documentation, and high-quality project execution. Selected professionals will apply their data and analytics expertise to review realistic technical scenarios, evaluate analytical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks. Key Responsibilities Professionals in this role may contribute to: Analytics, BI & Metric Review • Review data scenarios involving SQL analysis, ad-hoc business questions, dashboard specifications, metric definitions, funnel analysis, cohort analysis, and reporting outputs, • Evaluate analytical outputs against source data, defined business logic, expected numerical results, and documented requirements, • Support structured review of SQL queries, BI dashboards, dashboard specs, metric documentation, and analytical summaries, • Review experimentation scenarios involving A/B test design, readouts, lift calculations, statistical significance, guardrail metrics, and decision criteria, • Evaluate experiment outputs against defined metrics, expected values, testing assumptions, and analytical standards, • Support structured review of data science workflows, Python-based analyses, statistical outputs, and business interpretation materials, • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, data quality monitoring, warehouse schema design, Airflow or Dagster DAGs, and pipeline documentation, • Evaluate pipeline outputs, schemas, transformations, orchestration logic, and data quality checks against documented requirements, • Support structured review of data artifacts such as dbt models, schema diagrams, data contracts, test suites, DAGs, and warehouse documentation Strong candidates may have: • 3+ years of experience as a data scientist, analytics engineer, BI analyst, data analyst, product analyst, data engineer, decision scientist, or related data professional, • Working fluency in at least two areas such as advanced SQL, dbt, data warehousing, Snowflake, BigQuery, Redshift, experimentation, A/B testing, pipeline orchestration, metric modeling, or Python for analysis, • Familiarity with tools such as SQL, Python, dbt, Airflow, Dagster, Snowflake, BigQuery, Redshift, Databricks, Looker, Tableau, Mode, Hex, Metabase, Power BI, or similar data and analytics systems, • Comfort reading and preparing data artifacts such as SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams, metric definitions, and pipeline documentation, • Strong written communication skills and ability to explain data decisions clearly, • A degree or professional background in data science, statistics, mathematics, computer science, economics, engineering, business analytics, information systems, or a related quantitative field is helpful, • Experience in product, consumer, SaaS, marketplace, fintech, e-commerce, or data-mature company environments, • Familiarity with experimentation frameworks, metric governance, data quality monitoring, warehouse design, pipeline orchestration, or modern data stack workflows, • Experience preparing or reviewing SQL queries, dbt models, experiment readouts, dashboards, schema diagrams, funnel analyses, cohort reports, or data documentation, • Experience with Python-based analysis, statistical testing, data modeling, analytics engineering, or pipeline QA, • Apply data science and analytics expertise to structured remote project work, • Contribute to high-quality analytics review, experimentation assessment, BI documentation, and data pipeline workflow analysis, • Work on flexible, project-based assignments aligned with your technical background, • Use your data judgment in a focused, detail-oriented technical environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $75–$130 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job DescriptionPlatform Engineer (Backend) Location: London, New York Onsite | Full-time Compensation: Competitive Our client is an elite team of builders and a high-growth software development company at the forefront of the fintech and digital asset sectors. The organization is a primary contributor to one of the largest and most active crypto social networks globally, a platform that has generated over $600 million in revenue since early 2024. Operating at the intersection of high-scale social coordination and decentralized finance, the firm is dedicated to redefining the infrastructure of the future. The organization is seeking a Platform Engineer to join a high-performance environment characterized by talent density and rapid execution. This role is critical in ensuring the security, scalability, and integrity of a platform attracting significant global attention. The successful candidate will bridge the gap between backend engineering and infrastructure security, implementing robust controls across a complex cloud and blockchain ecosystem. Key Responsibilities • Pipeline Security: Build and maintain a secure CI/CD pipeline, ensuring the integration of automated security checks at every stage of the development lifecycle., • Infrastructure as Code (IaC): Develop and implement infrastructure using IaC principles, adhering strictly to security best practices and architectural standards., • Security Automation: Automate security scanning and monitoring across cloud and blockchain infrastructure to detect and mitigate threats in real time., • Container Security: Implement and manage advanced security controls for high-throughput containerized environments., • Observability & Metrics: Design and maintain comprehensive security dashboards and metrics to track and report on the organization's overall security posture., • Cross-Functional Collaboration: Partner with development teams to remediate security findings and continuously improve code-level security standards., • Secrets & Key Management: Design and implement sophisticated secrets management and cryptographic key management solutions., • Configuration Baselines: Establish and enforce secure configuration baselines across the entirety of the cloud infrastructure. Interview Process • Recruiter / HR Call: Initial screening to discuss background and cultural alignment., • Hiring Manager Interview (Technical): A "CoderPad" style interview. Candidates must be prepared for a live coding exercise focused on backend and systems logic., • Experience: 5+ years of professional experience in DevOps or DevSecOps Engineering roles within high-growth technology environments., • Engineering Proficiency: Must be proficient in backend engineering with hands-on coding skills in Golang, Rust, or C++ (or equivalent low-level systems languages)., • Cloud & Containers: Strong knowledge of cloud security (AWS, GCP, or Azure) and deep expertise in containerization using Docker and Kubernetes., • Tooling & Automation: Proven experience with IaC tools such as Terraform or CloudFormation, and proficiency with CI/CD platforms like GitHub Actions, Jenkins, or GitLab CI., • Security Toolkit: Familiarity with modern security scanning tools and the technical ability to integrate them seamlessly into automated workflows., • Network Security: A thorough understanding of network security concepts and their practical implementation in distributed systems., • Preferred Knowledge: Familiarity with Web3 infrastructure, node operation, or blockchain-specific security challenges is considered a significant advantage., • High-Stakes Impact: Work on a platform with massive global reach and significant revenue generation., • Elite Peer Group: Collaborate with a team of top-tier engineers in a culture that values speed and technical excellence., • Autonomy: Significant ownership over the security architecture and the freedom to implement best-in-class solutions., • Compensation: A competitive package consisting of a Base Salary plus Tokens/Equity. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do To accelerate datacenter deployment and management, CoreWeave is expanding its firmware engineering team to focus on developing and maintaining OpenBMC-based firmware for our next-generation Baseboard Management Controllers (BMCs). As a Senior Firmware Engineer, you'll design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave's high-performance compute infrastructure. You'll work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance. Key Responsibilities • Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave's custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring., • Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments., • Optimize: BMC Performance and Harden Security, • Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS., • Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation., • Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase., • Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave's infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals. Who You Are Minimum Qualifications • Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware., • Proficiency in C/C++ for embedded systems., • Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments., • Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish), • Experience with hardware bring-up, board-level debugging, and sensor integration., • Comfort with Linux kernel configuration, device trees, and BSP-level integration., • Working knowledge of source code control system such as Git, • Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles., • Basic scripting skills in Python or Bash for build automation and validation., • Strong problem-solving and analytical thinking; able to break down complex system-level issues., • Communicates effectively with peers across hardware, firmware, and operations teams., • Self-driven with a focus on delivering high-quality, maintainable code., • Thrives in a fast-paced environment and balances multiple priorities effectively.Preferred Qualification, • Experience developing CI/CD pipeline for firmware builds and regression testing, • Exposure to large-scale datacenter or HPC environments What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos’ technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. About the Role Curinos is seeking a Senior Engineer, Data Engineering to partner with our clients and internal teams to design, implement, and operate the data flows that power our industry‑leading SaaS solutions in Deposit, Lending, and Marketing Analytics & Optimization. Our Decision Intelligence platform enables financial institutions to optimize product strategies, marketing investments, and customer engagement to maximize Customer Lifetime Value across consumer and business portfolios. In this role, you will collaborate closely with our Client Success and Technical Success teams to onboard clients onto the Curinos platform. You will assess client data architectures, map them to Curinos capabilities, and design scalable, standardized integration solutions. You will also play a key role in ensuring ongoing operational excellence, including data ingestion accuracy, transformation pipeline reliability, metric computation efficiency, and outbound data interface development. Base salary range is $100,000 to $110,000 (plus bonus) Key Responsibilities • Develop and maintain scalable ETL pipelines capable of processing large, complex datasets, • Monitor, troubleshoot, and optimize ETL performance to ensure reliability and efficiency., • Stay current with emerging technologies and best practices in ETL, data exchange APIs, data mapping, and data cleansing., • Write clean, maintainable, and efficient code across all layers of the platform., • Collaborate with cross-functional teams to support client onboarding and platform enhancements, • Provide production support during business hours as part of an on-call rotation, • Participate in Agile ceremonies, including daily standups, ticket grooming and release activities Desired Skills & Expertise • Hands-on Experience with modern big data technologies such as HDFS, Spark, and Databricks., • Proficiency in multiple programming languages and toolsets, including Python, Databricks SQL,and YAML, • Strong understanding of data structures, algorithms, and data modeling, • 2+ years of experience working with big data platforms, • Experience supporting production systems and resolving operational issues., • Excellent verbal and written communications skills, • Ability to thrive in a collaborative, intellectually rigorous environment, • Familiarity with third-party marketing and CRM platforms(e.g.,Salesforce Marketing Cloud), • Competitivebenefits package including financial, health, and lifestyle options, • Flexible work arrangements, including remote work and flexible hours (role-dependent), • Unlimited PTO, floating holidays, and volunteer days, • Access to learning and development tools to support career growth, • Opportunities to work with industry-leading subject matter experts, • Regular social events and networking opportunities, • A collaborative, supportive culture with an active DE&I programs We recognize that the “perfect candidate” may not exist. If you’re excited about this role and have relevant experience or transferable skills, we encourage you to apply- you may be exactly who we’re looking for. If you require accommodations during the application or interview process (alternative formats, building access needs, adjusted interview formats, etc.), please contact and we will be happy to assist. Inclusivity at Curinos We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics

Job DescriptionWHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW We're hiring a Senior Full-Stack Engineer to turn our AI and machine learning capabilities into real products used by millions of consumers and internal teams. This is a product engineering role,not model training. You'll focus on delivering AI through scalable, intuitive applications. You'll report to the Associate Director, AI/ML & Data Science and work closely with AI/ML engineers and data scientists to bring models, APIs, and data pipelines into production-ready experiences. You'll own the full stack, from frontend to backend to cloud—ensuring performance, reliability, and usability at every layer. You'll also partner with product and design to create AI experiences that are clear, trustworthy, and impactful. If you enjoy turning complex technology into products people actually use, this is your role. This is a hybrid position; it is not eligible for sponsorship or relocation assistance. How You'll Make An Impact You'll help power a multi-year AI strategy focused on consumer value, employee tools, and responsible AI. In this role, you will: • Build full-stack applications, data APIs, and AI-powered dashboards, • Develop backend services (Python: FastAPI/Django, Node.js), • Integrate with Databricks and AWS SageMaker, • Create responsive frontends (React, Next.js, TailwindCSS), • Deploy cloud-native apps (AWS, GCP, or Azure), • Connect RAG pipelines, vector databases, and model endpoints, • Implement authentication, data access, and API management, • Build CI/CD pipelines, testing, and performance optimization You'll Be Highly Rated If: • You have the experience. 5+ years building production full-stack applications with Python, JavaScript, and SQL/NoSQL systems., • You've earned the degree. Bachelor's in Computer Science, Engineering, or a related field., • You've integrated software with AI/ML services, data APIs, or model endpoints — as a consumer of those services., • You love turning complex AI models into products people actually use., • You move fluently across frontend, backend, and cloud. At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$140K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • NY/California: $120K-$140K annually, • DMV/Massachusetts: $115K-$135K annually, • Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities * The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements * Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders * As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. * As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills * 9+ years of hands-on in professional software development * 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) * Strong understanding of data structures, indexing, and searching required * Ability to integrate with Elasticsearch and run queries/reports * 3+ years of experience building microservices * 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift * Experience with Kafka and other technologies * Can apply principles of Test-Driven Development * Experience with writing test cases * Able to write build scripts * Experience with Kubernetes and Terraform * Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. * Experience integrating applications with Redis/Memcached a plus Nice to Have Skills * Experience with Flutter * Development of mobile and tablet devices * AI/Machine Learning experience a plus * Experience with Big Query and Metabase * Experience developing Vertical SaaS ERP Software Personal Skills * A passion for building software and streamlining process issues * Demonstrate tenacity when solving challenging problems in a deadline-driven environment * Experience with Scrum/Agile Methodologies * Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team * Able to be self-motivated and work independently as needed to solve complex problems * Taking pride in work and desire to make projects succeed Benefits * Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. * A positive and collaborative work environment with a focus on innovation and sustainability. * Flexible/Unlimited PTO * Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). * Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. * Yearly Personal Development Budget * Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

Job Description MetTel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives. We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career. We are looking for a Cybersecurity Engineer to join our Corporate IT Team in NYC! ROLE AND RESPONSIBILITIES: The Cybersecurity Engineer is a hands-on technical role responsible for implementing, maintaining, and optimizing security controls across our hybrid infrastructure environment serves as a subject matter expert in designing, implementing, and administering our comprehensive security technology stack. This role combines deep technical expertise in cybersecurity tools with hands-on system administration skills to support our self-hosted, on-premises security infrastructure. The ideal candidate combines infrastructure knowledge with a strong understanding of security operations, compliance requirements, technical implementation and testing and assessing risk. They will be capable of supporting our security toolset including CyberArk, Splunk, OKTA, Tenable, SOAR platforms, and other security analytics solutions. Responsibilities: Vulnerability & Threat Management • Conduct vulnerability assessments across containerized and traditional infrastructure, • Perform ethical hacking and penetration testing to identify security weaknesses on our applications periodically and at times of new releases., • Candidates should have a CEH and be familiar with Nmap, Wireshark, Metasploit, Hydra and Burp to name a few., • Lead remediation efforts and track vulnerability lifecycle management, • Analyze security alerts and incidents, performing root cause analysis, • Administer and optimize enterprise security tools including SIEM, EDR, vulnerability scanners, and container security platforms, • Manage security aspects of VMware infrastructure, storage systems, and network segmentation CyberArk Privileged Access Management • Administer CyberArk PAS (Privileged Access Security) including Vault, CPM, PSM, and PVWA components, • Configure privileged account onboarding, password management policies, and access workflows, • Implement CyberArk integrations with Active Directory, applications, and infrastructure systems, • Manage CyberArk clustering, disaster recovery, and high availability configurations, • Administer Splunk Enterprise infrastructure including indexers, search heads, and forwarders, • Configure and maintain Splunk Enterprise Security (ES) for security monitoring and incident detection, • Develop custom Splunk searches, dashboards, and alerts for security use cases, • Manage Splunk data models, knowledge objects, and correlation rules, • Administer Tenable Security Center and Nessus scanning infrastructure, • Configure vulnerability scanning policies, schedules, and remediation workflows, • Integrate vulnerability data with other security tools and ticketing systems, • Develop custom vulnerability reporting and metrics dashboards, • Implement and maintain SOAR platforms for security automation, • Develop automated playbooks for incident response, threat hunting, and remediation activities, • Create custom integrations between the SOAR platform and existing security tools, • Design automated workflows for security alert triage and response coordination, • Provide Level 2/3 technical support for security incidents and tool-related issues, • Participate in incident response activities and forensic investigations, • Develop and maintain security procedures and troubleshooting guides, • Support 24/7 security operations center (SOC) activities and on-call rotation, • Support compliance initiatives including SOC 2, PCI DSS, NIST SP 800-53 and regulatory audits, • Maintain security tool documentation, configurations, and change management procedures, • Implement logging and audit trail requirements for compliance frameworks, • Develop security metrics and KPI reporting for management and auditors, • Partner with IT infrastructure teams on security tool deployment and maintenance, • Collaborate with application development teams on security tool integrations, • Work with network teams to implement security monitoring and traffic analysis, • Support risk management activities with technical security assessments, • Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or equivalent experience, • Relevant certifications preferred: CCSP, CISSP, GCIH, GCFA, Security+, CySA+, GSEC, or equivalent Security Tools Proficiency (3+ years each) • CyberArk: Deep experience with PAS components, policy configuration, and enterprise deployment, • Splunk: Advanced administration of Splunk Enterprise and Enterprise Security, including clustering and performance optimization, • Tenable: Comprehensive vulnerability management experience with Security Center, Nessus, and enterprise scanning, • Advanced Linux administration (RHEL, CentOS, Ubuntu) including shell scripting and automation, • Windows Server administration including PowerShell scripting and Active Directory integration, • Enterprise PKI and certificate management, • Log aggregation, analysis, and correlation techniques, • Incident response procedures and forensic analysis, • Threat intelligence integration and threat hunting methodologies, • 4+ years of cybersecurity experience with focus on enterprise security tools, • 4+ years of hands-on system administration in enterprise environments, • Experience with self-hosted, on-premises security infrastructure, • Proven track record of security tool implementations and migrations, • Strong scripting abilities (Python, Bash, PowerShell) for automation and integration, • Experience with API integration and custom security tool development, • Knowledge of cloud security platforms (AWS Security Hub, Azure Security Center) preferred, • Understanding of DevSecOps practices and CI/CD pipeline security, • Excellent troubleshooting and analytical problem-solving skills, • Technical Leadership: Ability to serve as subject matter expert across various Security tool sets., • Problem-Solving: Advanced analytical skills for complex security tool issues and integrations, • Communication: Ability to explain technical concepts to both technical and non-technical stakeholders, • Project Management: Experience leading security tool implementations and upgrades, • Degree in Cybersecurity or related field, • Experience in regulated industries (government), • Advanced certifications: CISSP, SABSA, TOGAF, or specialized vendor certifications, • Experience with additional security tools: QRadar, Rapid7, Carbon Black, CrowdStrike Keywords: #NYC #NewYorkCity #Manhatten, #Cybersecurity, Cybersecurity, CISSP, #CISSP, SecurityTools ,#SecurityTools, SIEM, #SIEM, #InfrastructureEnvirnonments, #CyberArk, CyberArk, #Splunk, Splunk, OKTA, #OKTA, Tenable, #Tenable, #SOARPlatforms, SOARPlatforms, #Telecom, Telecom, #Troubleshoot, #Engineering MetTel is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. To learn more about our company visit us at

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Backend Engineer - AI - this is an onsite role in NYC. Salary range: 200-250K USD yearly plus benefits plus equity. We build autonomous manufacturing systems powered by AI and robotics to solve America's manufacturing workforce crisis. We're creating the intelligence layer that lets machines run autonomously so manufacturers can scale production without scaling headcount. You'll join a small in-person team in NYC with deep experience from defense tech and AI who've already shipped products to DoD customers. This is your chance to build the future of American manufacturing at the intersection of ML robotics and distributed systems. As Staff ML Backend Engineer you'll own the entire data pipeline for robotics sensor data and build foundational ML infrastructure. You'll make key technical decisions around storage processing and analytics while functioning as a research engineer to keep ML team iteration cycles fast. This Staff Backend Engineer will build the foundational infrastructure for our machine learning pipelines, focusing on creating robust, scalable backend systems for advanced robotics. The role involves owning the data collection and storage pipeline for robotics sensor data, making key technical decisions, and functioning as a research engineer for the ML team to accelerate their iteration cycles. This is a generalist software engineering role focused on the backend, particularly on building production systems for large-scale data and data pipelines, rather than internal tooling. Tech stack Python, Rust, C++, Distributed Systems, Data Pipelines, PyTorch, TensorFlow, Time-series Databases, GPU Requirements: 7+ years of experience in backend engineering building production data pipelines in Python, Rust, or C++ (Mandatory) Built production data pipelines for large-scale sensor/video data. (Mandatory) Experience with distributed systems handling low-latency, high-throughput data flows (Mandatory) Experience in latency-sensitive environments (e.g. trading systems, real-time industrial/robotics systems) (Nice-to-have) BS/MS in Computer Science or a related technical field. (Mandatory) Strong proficiency in Python, Rust, or C++ for backend / systems development (Mandatory) Experience with time-series or streaming data systems (e.g. sensor data pipelines, event streams) (Mandatory) Familiarity with ML infrastructure or supporting ML pipelines in production (not just model training) (Nice-to-have)

Job Description We are seeking an experienced Senior Engineer to serve as the technical architect and lead for our Cloud foundation. In this role, you won't be just maintaining systems; you will be defining the future of how our infrastructure evolves. You will own the scalability and reliability of our global platforms while leading the charge into Agentic Infrastructure - leveraging AI to build self-healing, autonomous systems that reduce operational toil. You will act as the bridge between high-level business strategy and deep technical execution, ensuring our Kubernetes-driven environment is not just stable, but a competitive advantage. Please note that this opportunity is located in New York, NY, and requires this hire to work from our office four days a week. What You'll Do • Architectural Leadership: Own the long-term technical roadmap for our AWS/Kubernetes ecosystem. Design and implement multi-region, high-availability architectures that support rapid product scaling., • AI & Agentic Systems: Proactively identify and implement opportunities to use AI/LLMs to build agentic workflows for infrastructure management (e.g., autonomous scaling, automated incident remediation, and intelligent cost optimization)., • Advanced Orchestration: Lead the evolution of our Kubernetes and Istio service mesh strategy, focusing on performance tuning, advanced traffic management, and developer self-service., • Infrastructure as Code (IaC): Set the standard for Terraform/OpenTofu usage, building reusable modules and frameworks that empower the entire engineering organization., • Strategic Optimization: Partner with leadership to manage cloud spend and performance metrics, turning technical efficiency into business revenue growth., • Mentorship & Influence: Act as a force multiplier by mentoring engineers and influencing cross-functional product teams on best practices for Cloud-native development., • Incident Response & SRE: Serve as a high-level escalation point for complex systemic issues, conducting deep-dive post-mortems that drive structural improvements rather than quick fixes. What Makes You a Great Fit? • Deep Technical Mastery: You have extensive experience managing large-scale production environments in AWS, with "black belt" level knowledge of Kubernetes internals, networking (VPC/Direct Connect), and Istio., • The "AI Native" Mindset: You are passionate about the intersection of Infrastructure and AI. You don't just want to monitor a system; you want to build an agent that monitors and fixes it for you., • Proven Track Record: You have 8+ years of experience in Infrastructure, SRE, or DevOps, with at least 2 years in a Senior-level capacity driving cross-team initiatives., • Polyglot Engineering: You are highly proficient in Go or Python, and you're comfortable diving into the application layer (Ruby, Node.js, or Java) to debug performance bottlenecks., • Security-First Philosophy: While this is an infra-focused role, you bake security into the CI/CD pipeline and underlying architecture by default. What VTS Values & How We Show It • Strive for Excellence - We know your potential is unlimited. Take advantage of our executive coaches and our training and career development programs available to all employees!, • Be Customer Obsessed - We're employee obsessed too! VTS offers competitive compensation, comprehensive health benefits (including dental and vision), pre-tax commuter benefits, and a 401(k) plan. Not to mention the fun stuff - quarterly happy hours, wellness events, clubs, and team lunches!, • Be Curious - Benefit from a culture that promotes new learning. VTS offers an education stipend to all employees!, • Move as One - We work in an open floor plan to promote cross-functional collaboration., • Take Ownership - Be an owner of the company you're building with our equity packages. With the VTS Platform, consisting of VTS Lease, VTS Market, VTS Activate, and VTS Data, every stakeholder in real estate is given real-time market information and workflow tools to do their job with unparalleled speed and intelligence. VTS is the global leader, with more than 60% of Class A office space in the U.S., and 13 billion square feet of office, residential, retail, and industrial space is managed through the platform worldwide. VTS is utilized by over 45,000 professionals and over 1.2 million total users each day, including industry-leading customers such as Blackstone, Brookfield Properties, LaSalle Investment Management, Hines, BXP, Oxford Properties, JLL, and CBRE. VTS maintains offices in New York City, London, Toronto, Chicago. To learn more about VTS and view our open roles, visit us at vts.com or follow us on Instagram (@WeAreVTS) or LinkedIn. Pay Transparency At VTS, we pride ourselves on articulating a clear and transparent philosophy around equitable, impartial compensation that will allow us to recruit and retain an exceptional team. The base salary is market-driven at the time of offer and is based on tier 1 market data. The salary for this role will range between $160,000 and $200,000 and is determined by several factors, including your skills, prior relevant experience, quality of interviews, leveling, and geography. EEO GuidelinesVTS embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.All your information will be kept confidential according to EEO guidelines. For more information about what we collect and how we use it, please refer to the Candidate Privacy Statement. If you have a disability or special need that requires accommodation at any time during the recruitment process, please let us know at Privacy Policy