Language Partner Jobs

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are seeking a mid-level Infrastructure Vulnerability Management Engineer with a strong background in Cloud Security, DevSecOps, and Infrastructure-as-Code (IaC). In this role, you will bridge the gap between security, compliance, DevOps, and Platform engineering teams. You will identify infrastructure misconfigurations, secure multi-cloud environments, and manage continuous vulnerability lifecycles across cloud workloads, containers, and data repositories to satisfy strict regulatory compliance frameworks. You will also serve as a technical infrastructure responder during security incidents, deploying real-time cloud or network countermeasures to protect our production ecosystem. What You'll Do Core Responsibilities Infrastructure Scanning & Triage: Perform continuous security scanning across our cloud posture and workloads. Review, validate, and prioritize flaws and misconfigurations based on CVSS scores, real-world exploitability, and infrastructure network exposure. Posture Management & Visibility : Own and optimize Cloud Security Posture Management (CSPM), Kubernetes Security Posture Management (KSPM), and Data Security Posture Management (DSPM) tools to ensure uniform compliance, prevent data leakage, and maintain hardened baselines. Infrastructure-as-Code (IaC) Security: Configure, tune, and embed automated IaC security scanning tools into CI/CD pipelines to identify architectural risks (e.g., overly permissive IAM, public S3 buckets/Cloud Storage) before they are deployed to production. Workload & Container Security: Manage the continuous vulnerability scanning lifecycle for container images, registries, and Virtual Machines (VMs), partnering with SRE and Platform teams to build aut

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are seeking a mid-level AppSec Vulnerability Management Engineer with a strong software development background. In this role, you will bridge the gap between security, compliance, and engineering teams. You will identify application vulnerabilities, maintain software supply chain security, and drive tracking to satisfy strict regulatory compliance frameworks. You will also serve as a technical responder during security incidents, deploying real-time countermeasures to protect our software ecosystem. What You'll Do Core Responsibilities Vulnerability Scanning & Triage: Perform periodic application security scanning activities. Review results and prioritize flaws based on CVSS scores, real-world exploitability, and system exposure. Compliance-Driven Tracking: Track, document, and manage vulnerabilities according to strict compliance SLAs (e.g., SOC 2, ISO 27001, PCI-DSS). Maintain audit-ready evidence of remediation timelines and exception approvals. Executive Reporting & Alerting: Escalate and report critical exposures directly to the CISO and senior leadership. Maintain dashboards and alerting mechanisms that visualize vulnerability status, risk trends, and compliance posture. Software Supply Chain Security: Ownership of the organization's Software Bill of Materials (SBOM). Continually update SBOM inventories to ensure compliance with modern regulatory requirements and dependency tracking. Help Replit mature through various SLSA levels for supply chain security. Remediation Collaboration: Partner with development teams to provide clear mitigation paths. Review, write, and patch code directly when necessary to resolve security flaws. Tooling Integration: Configure and tune automated security te

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Replit is experiencing extraordinary growth across our customer base and seeking an Enterprise Account Manager with strong communication skills to drive retention, expansion, and customer success. Candidates with Customer Success or Account Management experience in SaaS, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for customer success and AI. You'll leverage your skills to help customers maximize value from Replit's platform while driving sustainable revenue growth. In this role you will: Serve as the primary relationship owner for your assigned customer portfolio, ensuring high satisfaction and retention Champion customer success by helping businesses realize the transformative potential of AI-powered software creation Lead onboarding programs that accelerate customer time-to-value and platform adoption Guide customers through Replit's rapidly evolving feature set, including Agent 3's autonomous capabilities, Plan Mode, and automation tools Execute renewal processes with a focus on expansion and long-term partnership development Maintain accurate customer health scores and renewal forecasting data in Replit's CRM (Hubspot) Gather and communicate valuable customer feedback, championing their interests within Replit Optimize customers' use of the Replit platform through ongoing training, support, and strategic guidance Required skills and experience: 5-7+ years of experience in Customer Success, Account Management, or technical sales role, preferably in SaaS or developer tools Excellent

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team. You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business. In this role you will: Serve as the trusted front-line contact for large enterprise customers, guiding them on AI prompting best practices, resolving bugs, and turning feedback into a better product experience, whilst adhering to strict SLAs. Diagnose, reproduce, and resolve complex technical issues across the Replit platform. Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication. Lead customer-facing communications during outages or incidents. Analyse recurring issues and identify process and documentation improvements to reduce time-to-resolution Build and update internal tooling, automation, and documentation that improves team efficiency. Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience. Help

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Job Summary We are looking for an experienced Growth Infrastructure Engineer to build and maintain the technical backbone that enables scalable growth experiments, high-performance data pipelines, and automated systems that drive user acquisition, engagement, and product iteration. This role sits at the intersection of growth, product, and infrastructure — combining deep technical engineering with experimentation and data-driven optimization. You will collaborate with product, data science, and backend teams to ensure that growth initiatives run smoothly and scale efficiently across systems. Key Responsibilities Growth Infrastructure & Systems Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs. Build and optimize analytics pipelines to capture key product and growth metrics (acquisition, activation, retention, etc.). Develop automated workflows for user onboarding, campaign delivery, and performance tracking. Experimentation & Optimization Support A/B testing frameworks and integrate them into production systems. Enable reliable data collection and evaluation for growth experiments. Automate deployment and rollout of growth feature flags and tests. Cross-Functional Collaboration Partner with Growth Product Managers, Data Engineers, and Analysts to define technical requirements for growth initiatives. Translate business goals into technical specifications and system designs. Provide guidance on performance, reliability, and scalability trade-offs. Monitoring & Reliability Implement monitoring and alerting for growth infrastructure services. Troubleshoot production issues and optimize for uptime and performance. Ensure data quality and consistency for report

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role: This is a Principal Product Engineering role focused on Money Infrastructure at Replit. You’ll work on the financial backbone that powers how Replit earns money, how builders earn money, and how Agents transact. This role sits at the intersection of engineering, product, and the business. The systems you build directly impact revenue, trust, and some of the most critical user journeys on the platform. Getting them right enables growth, experimentation, and global scale. Getting them wrong creates broken payments, confusing pricing, and lost trust. We’re looking for engineers who can design and scale reliable financial systems while translating complex monetary logic into intuitive, user-friendly experiences for both Replit customers and builders on the platform. We love folks who have a passion for monetizing innovation and being a part of the greater pricing story. You will: Lead the design, architecture, and implementation of Replit’s core money infrastructure, spanning pricing, billing, payments, and monetization. Own and scale the global order-to-cash foundation supporting credit-based subscriptions, usage-based billing, marketplaces, in-app payments, and commerce for Agents. Enable rapid pricing and packaging experimentation across the company by building flexible abstractions and APIs for new SKUs, plans, and monetization models. Build high-converting, localized payment experiences across geographies — thinking globally while enabling users to pay locally. Power builder monetization by creating payment rails for apps, Agents, subscriptions, and new monetization primitives. Partner closely on data specifications with finance, accounting, and data teams to produce accurate, auditable, and reliable f

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are seeking a highly technical, data-driven Growth Engineer to help scale our product and expand key user metrics across acquisition, activation, retention, and monetization. Growth Engineering sits at the intersection of engineering, product, and marketing—leveraging code, experimentation, and analytics to uncover opportunities and deliver measurable impact. What You’ll Do Drive Experimentation & Optimization Design, implement, and analyze rapid A/B and multivariate tests to validate hypotheses and improve key KPIs. Identify bottlenecks in user funnels and develop technical solutions to improve conversion rates throughout the user lifecycle. Build and Scale Growth Features Build growth-oriented product features such as onboarding flows, referral systems, and automated engagement loops. Develop scalable code and infrastructure that supports growth initiatives and experimentation frameworks. Leverage Data & Metrics Collaborate with data teams to instrument tracking, build dashboards, and derive insights from user behavior data. Use SQL and analytics tools to deeply analyze cohorts, engagement metrics, and experiment outcomes. Cross-Functional Collaboration Partner closely with product managers, designers, marketers, and data scientists to align on growth goals and execution plans. Translate business goals into technical requirements and implement pragmatic solutions that drive sustainable growth. Continuous Innovation Stay updated on industry trends and growth-oriented technologies and propose new tactics to accelerate growth. Automate repetitive tasks and build internal tools to empower faster experimentation and execution. Required Qualifications Bachelor’s degree in Computer Science, Enginee

Opportunity Overview: We are seeking a Senior AI Engineer to join our Engineering team. In this role, you'll design retrieval architectures, build AI-powered agents, and own production deployments that serve health insurance plans covering over 15 million people. You'll partner closely with product, data science, and clinical teams to build the foundation that transforms how clinical intelligence is delivered at scale - from hands-on code to HIPAA-compliant systems that directly improve healthcare outcomes. This is an opportunity to work at the intersection of cutting-edge AI and real-world impact, in a fast-paced, collaborative environment. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Agent Development: Participate in the development, evaluation, and deployment of Cohere’s AI-powered agents and applications. Data & Retrieval Architecture: Design data and retrieval architectures that give AI agents the right context, across diverse healthcare sources. Hands-On Engineering: Design, review, and own high-quality agentic code — leading releases, production deployments and on-call support. Cross-Functional Collaboration: Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs. Security & Compliance: Ensure all agentic components comply with healthcare security and privacy regulations (e.g., HIPAA) and adhere to industry best practices for security. Agile Development: Contribute to sprint planning, execution, and retrospectives, driving efficiency and velocity within the engineering team and collaborating closely with stakeholders to align with product goals and business priorities. What you’ll need: 5+ years of experience in the software development lifecycle, with demonstrated experience working with popular agent frameworks and language models. Expertise in one

Word jij enthousiast van het bouwen aan duurzame klantrelaties én het creëren van nieuwe commerciële kansen? Als Accountmanager Binnendienst in Nijmegen krijg je de vrijheid om initiatief te nemen, partnerships verder uit te bouwen en direct impact te maken op onze groei. We don't want to disappoint, but we only accept applicants that have a good command of the Dutch language and are already (or about to be) based in the Netherlands. Hier krijg jij positieve energie van De vrijheid om zelf kansen te ontdekken, relaties verder uit te bouwen en zichtbaar invloed te hebben op commerciële resultaten. Werken in een omgeving waar nog niet alles vastligt en waar jouw ideeën, initiatief en ondernemerschap echt het verschil maken. Het bouwen aan langdurige samenwerkingen, terwijl je dagelijks schakelt met uiteenlopende bedrijven, interessante gesprekspartners en collega's. Dit ga je doen als Accountmanager Binnendienst Als Accountmanager Binnendienst ben jij het vertrouwde aanspreekpunt voor salespartners en middelgrote zakelijke klanten. Vanuit de binnendienst onderhoud je dagelijks contact via telefoon en mail. Je bouwt aan duurzame relaties, denkt commercieel mee en vertaalt klantbehoeften naar passende oplossingen. Daarbij wacht je niet af, maar neem je zelf het initiatief: je benadert klanten en partners actief, signaleert kansen en zorgt dat afspraken worden omgezet in resultaat. Af en toe ga je mee naar buiten voor een afspraak, maar jouw thuisbasis is de binnendienst. Je werkt op het snijvlak van relatiebeheer, commercie en samenwerking. Naast het verder uitbouwen van bestaande klantrelaties krijg je de kans om onze samenwerking met salespartners een stevige impuls te geven. Omdat dit onderdeel nog volop in ontwikkeling is, kun je echt meebouwen en jouw ideeën in praktijk brengen. Tegelijkertijd zorg je voor een nauwkeurige administratie: je stelt offertes op, houdt klantinformatie en verkoopresultaten actueel, verwerkt won- en lost-redenen en verzorgt rapportages. Z

Senior Platform Engineer AI Engineering | Forward Deployed Engineering Role Description Defense Unicorns is seeking a senior AI Agentic Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on designing, integrating, and operationalizing AI agents and agentic workflows within a secure enterprise environment. The engineer will work across large language models, agent frameworks, enterprise data, APIs, developer tooling, and platform services to turn AI capabilities into reliable, mission-relevant workflows. The ideal candidate is a hands-on engineer who understands both the capabilities and limitations of modern AI systems and can rapidly translate emerging technologies into working solutions. They should be comfortable experimenting with new models and agent frameworks, integrating agents with enterprise systems and tools, evaluating performance and reliability, and working alongside platform engineers and commercial technology partners. This is not a research-only role. The focus is on moving from AI concepts and prototypes to secure, useful, repeatable agentic capabilities that can operate in production environments. Responsibilities Design, build, and integrate AI agents and multi-agent workflows using modern LLM and agentic technologies. Develop agent capabilities that interact with enterprise applications, APIs, data sources, developer tools, and mission systems. Integrate models, agents, tools, and enterprise data into secure workflows that can be deployed in controlled and classified environments. Work with LLMs, RAG, embeddings, vector databases, tool/function calling, structured outputs, MCP, and related technologies. Develop mechanisms for agents to securely discover, access, reason over, and act upon approved enterprise data and services. Prototype and rapidly evaluate emerging models, agent frameworks, and AI capabilities to determine where they can create measurab

MongoDB seeks an experienced Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate: Has 2-5 years of professional software engineering experience Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.) Strong technical judgment and the ability to independently solve complex engineering problems Excellent communication skills and comfort collaborating across teams and disciplines Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks) Has the ability to iterate fast, specially in the case where requirements are not clear Keeps up with emerging AI tooling and models, not just what's already mainstream Collaborative, detail-oriented, and passionate about developing usable software Bonus Round: Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines Experience designing systems or services used by other engineers or teams Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph) Familiarity with transformer architecture and model internals Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines Position Expectations: Design and run experiments that test emerging AI capabilities against real internal use cases, before they're formally prioritized. Condense the learnings of those

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Team Description MongoDB seeks an experienced Senior Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities. Our ideal candidate: - Has 6+ years of professional software engineering experience - Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.) - Strong technical judgment and the ability to independently solve complex engineering problems - Excellent communication skills and comfort collaborating across teams and disciplines - Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet - Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks) - Has the ability to iterate fast, specially in the case where requirements are not clear - Keeps up with emerging AI tooling and models, not just what's already mainstream - Collaborative, detail-oriented, and passionate about building reliable, usable software Bonus Round: - Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines - Experience designing systems or services used by other engineers or teams - Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React - Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph) - Familiarity with transformer architecture and model internals - Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines Position Expectations: - Design and run experiments that test emerging AI capabilities against real internal use cases, before

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Content Systems is the heart of Lyft's language ecosystem. The team is made up of two distinct disciplines, Content Design and Learning Experience Design, who create and own language across Lyft's in-app experiences that help customers succeed on the Lyft platform. We're looking for a Content Systems intern to join our team for the summer. This role will both help design and build our internal content system (think information architecture), and embed in a rotation of design teams as a content design/learning design partner in building products across the Lyft community. Of course, you won’t be alone. You'll work with designers, researchers, marketers, and product managers day in and day out to develop experiences that reach and resonate with riders. This internship will take place in our Toronto office during Summer 2027 . What we're looking for Responsibilities: Support our content system by establishing and translating information architecture to help manage content across Lyft Help teams reconsider existing systems and processes (eg publishing workflows) to align to the new information architecture Support product strategy and vision through content, working on projects as a content designer and learning experience designer Translate complicated concepts into clear in-product copy (UI, notifications, errors, and more) and learning materials Collaborate with designers, visual content creators, researchers, engineers, marketers, data science, product managers, and other stakeholders across tech and ops The ability to translate concepts across the UI, learning center, and knowledge base into connected content objects Manage multiple projects and competing priorities Maintain, evolve and champion the Lyft brand voice and style Skills: Excellent writing skills; ability to

Join a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models. We are seeking a senior, hands-on technology leader to drive this transformation. In this role, you will partner directly with quantitative analysts and key stakeholders to shape the most impactful use cases and then lead a team of talented developers to design, build, and deploy the generative AI platform that brings this vision to life. Key Responsibilities Strategic Vision & Stakeholder Partnership: Collaborate closely with quantitative model developers, Model Risk Management (MRM), and business leaders to deeply understand their pain points and translate them into a technical vision and product roadmap. Identify, scope, and prioritize use cases for the agentic workflow platform, ensuring they deliver measurable value and align with strategic objectives. Serve as the primary technical liaison between the engineering team and its users, ensuring a tight feedback loop and continuous alignment. Platform Design & Hands-On Development: Lead the architectural design of a scalable, robust, and secure agentic AI platform, including core components for orchestration, knowledge retrieval (e.g. RAG), and tool integration. Engage in hands-on software development to build foundational components, create proofs-of-concept, and tackle the most complex technical challenges. Design and implement secure integrations with internal data sources, external APIs, and various LLMs, ensuring compliance

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Content Systems is the heart of Lyft's language ecosystem. The team is made up of two distinct disciplines, Content Design and Learning Experience Design, who create and own language across Lyft's in-app experiences that help customers succeed on the Lyft platform. We're looking for a Content Design intern to join our team for the summer. This role will both help design and build our internal content system (think information architecture), and embed in a rotation of design teams as a content design/learning design partner in building products across the Lyft community. Of course, you won’t be alone. You'll work with designers, researchers, marketers, and product managers day in and day out to develop experiences that reach and resonate with riders. This internship will take place in our Toronto office during Summer 2027 . What we're looking for Responsibilities: Support our content system by establishing and translating information architecture to help manage content across Lyft Help teams reconsider existing systems and processes (eg publishing workflows) to align to the new information architecture Support product strategy and vision through content, working on projects as a content designer and learning experience designer Translate complicated concepts into clear in-product copy (UI, notifications, errors, and more) and learning materials Collaborate with designers, visual content creators, researchers, engineers, marketers, data science, product managers, and other stakeholders across tech and ops The ability to translate concepts across the UI, learning center, and knowledge base into connected content objects Manage multiple projects and competing priorities Maintain, evolve and champion the Lyft brand voice and style Skills: Excellent writing skills; ability to