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A C Operator Jobs

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Explore current a c operator jobs. Use filters to narrow by work mode, employment type, experience and date posted.

T
1mo ago

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This is a remote role based in Poland. Employment is subject to presentation of a valid document authorizing legal work in Poland. All applicants must meet current Polish immigration regulations and provide proof of work eligibility. About The Role: As a Customer Service Advocate at Taskrabbit, you will embody our core competencies, creating a seamless and exceptional experience for every individual, be it a Client, Tasker, or Partner. Your approach is customer-obsessed, recognizing the intrinsic value of each person and understanding that our business success is rooted in how we prioritize and treat everyone. You champion customer satisfaction with a perfect blend of urgency and genuine care, always emphasizing a customer-centric approach. Our Values: Obsess over Clients and Taskers Win Together with Heart Own the Challenge Be Bold Move Forward. Move Fast What You'll Work On: Customer Obsessed: Prioritize and champion customer satis

REMOTEaigorust
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T
1mo ago

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This is a remote role based in Poland. Employment is subject to presentation of a valid document authorizing legal work in Poland. All applicants must meet current Polish immigration regulations and provide proof of work eligibility. About The Role: As a Customer Service Advocate at Taskrabbit, you will embody our core competencies, creating a seamless and exceptional experience for every individual, be it a Client, Tasker, or Partner. Your approach is customer-obsessed, recognizing the intrinsic value of each person and understanding that our business success is rooted in how we prioritize and treat everyone. You champion customer satisfaction with a perfect blend of urgency and genuine care, always emphasizing a customer-centric approach. What You'll Work On: Customer Obsessed: Prioritize and champion customer satisfaction, ensuring a personalized and caring approach in every interaction. Recognize the unique needs and concerns of

REMOTEaigorust
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PE
1mo ago

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Summary: We are seeking a highly motivated and experienced Team Lead to manage a team of Customer Experience Specialists within our Flights Line of Business. The ideal candidate will have a strong understanding of the travel industry excellent analytical skills, and proven people management abilities. This role is critical in ensuring a seamless and positive experience for our customers booking flights through our platform. Responsibilities: Team Management: ● Supervise, coach, and mentor a team of Customer Experience Specialists [Team of 15 Members]. ● Conduct regular performance reviews, identify training needs, and create development plans for team members. ● Monitor team performance against key metrics (e.g., resolution time, customer satisfaction scores, first call resolution). ● Manage team schedules and ensure adequate staffing levels to meet customer demand. ● Foster a positive and collaborative team environment. Customer Experience: ● Ensure the team provides exceptional customer service across all channels (phone, email, chat, social media). ● Handle escalated customer issues and complex inquiries. ● Identify and address trends in customer complaints and feedback. ● Proactively identify opportunities to improve the customer experience. Operational Excellence: ● Monitor key performance indicators (KPIs) and identify areas for improvement in operational efficiency. ● Implement process improvements and best practices to enhance team productivity and customer satisfaction. ● Collaborate with other departments (e.g., product, engineering, growth and finance) to resolve customer issues and

BA
Bolna AI
📍 Bengaluru• Full-time
1mo ago

We’re looking for a Talent Acquisition professional to join the People team at Bolna.ai . This is a hands-on role for someone who understands the nuances of hiring , thrives in a fast-paced environment, and knows how to build pipelines, convert strong candidates, and help teams hire exceptional talent at speed. What you’ll do Own end-to-end hiring across multiple functions — from understanding the requirement and sourcing to interviews, offers, and closures. Partner closely with hiring managers and leadership to understand hiring needs, define candidate profiles, and drive focused hiring strategies. Build and maintain strong talent pipelines through LinkedIn, referrals, communities, databases, and creative sourcing channels . Understand the nuances of hiring — what to look for, where to find the right talent, how to engage candidates, and how to convert them . Drive fast-paced hiring without compromising on candidate quality or experience. Build strong candidate relationships and effectively manage the funnel from first conversation to closure . Own and strengthen employee referral programs , finding creative ways to increase participation and conversions. Track pipeline health and hiring metrics, identify bottlenecks, and continuously improve the hiring process. Contribute to employer branding, talent mapping, and other hiring initiatives as Bolna scales. Who we’re looking for 3–6 years of experience in Talent Acquisition / Recruitment, preferably in a startup or high-growth environment. Strong understanding of fast-paced hiring and high-volume / multi-role recruitment . Excellent sourcing, screening, candidate engagement, and offer conversion skills. Strong understanding of the nuances of hiring and building quality talent pipelines . Experience managing or building employee referral programs . Strong communication, stakeholder management, and negotiation skills. High ownership, urgency, and attention to detail. Someone who enjoys figuring things out, moving fast,

O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Role As a Sales Manager, Energy, you will build and lead a team of Account Directors focused on strategic growth across utilities, oil and gas, renewables, power generation, and energy services. The team will partner with complex organizations modernizing operations, improving reliability, accelerating the energy transition, and adopting enterprise AI responsibly at scale. You’ll help the team navigate regulated enterprise sales cycles, deepen relationships with business, technology, operations, engineering, security, and risk leaders, and drive adoption of OpenAI’s platform across safety-conscious, asset-intensive organizations. Key Responsibilities Recruit, develop, and lead a high-performing team of Energy Account Directors. Create a strong coaching culture through deal reviews, account strategy sessions, ride-alongs, and structured 1:1s. Define the Energy GTM strategy, including subsector segmentation, account prioritization, partner strategy, executive engagement, and territory planning. Drive disciplined pipeline generation, forecast accuracy, and operational rigor. Guide multi-stakeholder opportunities involving operations, engineering, digital, data, security, legal, risk, procurement, and executive leadership. Help customers translate AI and API capabilities into measurable outcomes across asset and field operations, grid and generation planning, engineering knowledge, customer service, commercial workflows, and enterprise productivity. Partner with Product, Solutions Architecture, Technical Success, Legal, Security, Finance, and policy experts to support responsible deployment. Provide structured feedback on customer requirements, integration blockers, reliability and governance needs, and emerging industry trends. What We’re Looking For 15+ years of enterprise sales, GTM, or sales leadership experience. Proven experience building and scaling enterprise sales teams responsible for complex strategic accounts and large revenue targets. Deep underst

awsgitrest
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BA
Bolna AI
📍 Bengaluru• Full-time
1mo ago

We’re looking for a technical force multiplier to work directly with the founders at Bolna.ai . This is not a traditional Chief of Staff, PM, or engineering role. It sits at the intersection of strategy + product + engineering. Your job is simple: take messy, important problems, figure out what matters, and make things happen. What you’ll do Find and build ways to leverage AI internally to dramatically improve engineering velocity and company operations. Dive into product, business, growth, and engineering data to uncover insights and turn them into clear, actionable recommendations. Work across Engineering, Product, and Growth to supercharge teams, remove bottlenecks, and unlock leverage through technology. Pick up ambiguous, high-leverage problems and drive them end-to-end. One day could mean discovering and iterating on a new tool in the morning, building a prototype that afternoon, and shipping it by the end of the day. Who we’re looking for You have high agency and a founder’s mindset . You’re technically strong enough to build prototypes, deeply curious about how things work, and fast at learning unfamiliar domains. You have strong product and business intuition, can reason from messy data, and communicate clearly in writing. You’d rather skip a one-hour meeting to spend that hour chasing a curiosity that could create 10x the impact . You know that disproportionate outcomes often come from asking the question nobody assigned you to ask. You don’t wait for perfectly scoped tasks. Depending on the problem, you’re comfortable researching, coding, analyzing data, talking to customers, testing a product, or coordinating a team. Most importantly, you have good judgment about what is worth pursuing . If you’re an ex-technical founder or founding engineer , this role will likely feel familiar: high ambiguity, high ownership, and a bias toward figuring things out yourself. We operate with a simple belief: AI, when applied skillfully to the right problems, can create di

O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're looking for an Optical Interconnect System Engineer to design, qualify, and deploy scalable optical connectivity for large-scale AI infrastructure. This role spans fiber-system architecture, optical-mechanical integration, validation, reliability, deployment, and serviceability. You will work with optical, mechanical, electrical, networking, manufacturing, reliability, and data-center teams to translate system needs into practical interconnect solutions. This is a hands-on role for someone who can connect design decisions with installation, qualification, troubleshooting, and long-term operational performance. In this role, you will: Define optical interconnect architectures and requirements across hardware platforms and rack-level systems. Design high-density fiber systems for performance, density, reliability, installation, and serviceability. Lead optical-mechanical integration and cross-functional design reviews. Develop test and qualification plans for optical components, modules, switching platforms, and integrated systems. Own optical loss budgets, routing guidelines, handling requirements, and serviceability criteria. Support system bring-up, deployment, troubleshooting, failure analysis, and reliability improvement. Create reusable design guidelines, interface requirements, and qualification methods. You might thrive in this role if you have: Core experience Experience desi

awsrestai
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O
OpenAI
📍 London• Full-time
1mo ago

About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. About the Role As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, prototype and scale up new architectures to improve model intelligence Execute and analyze experiments autonomously and collaboratively Study, debug, and optimize both model performance and computational performance Contribute to training and inference infrastructure You might thrive in this role if you: Have experience landing contributions to major LLM training runs Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion Are motivated by safely deploying LLMs in the real world Are well-versed in the state of the a

awsrestai
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture, datasets and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. Recent examples of artifacts with major contributions from our team include GPT4-Turbo, GPT-4o and o1-mini. About the Role As a member of the architecture team, you will push the frontier of architecture development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, prototype and scale up new architectures to improve model intelligence Execute and analyze experiments autonomously and collaboratively Study, debug, and optimize both model performance and computational performance Contribute to training and inference infrastructure You might thrive in this role if you: Have experience landing contributions to major LLM training runs Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion Are motivated by safely deploying LLMs in the real world Are well-versed in the state of the art tran

awsrestai
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O
OpenAI
📍 India• Full-time
1mo ago

About the Role As a member of the Data team within the Go-to-Market organization, you will help build a data-driven culture, improve decision-making, and advance strategic initiatives through analytics. This is a full-stack data role spanning data modeling, metric definition, visualization, analysis, and self-service tooling. You will build trusted, scalable data sources and products that give the business reliable, actionable insights. The work calls for judgment: you will choose the tool, approach, and level of investment that best fit each problem, from a focused analysis to a durable production data product. As a core partner to the GTM organization, you will address both foundational and ad hoc analytics needs. You will turn complex data into clear narratives that help technical and non-technical audiences understand what is happening, why it matters, and what they should do next. In this role, you will: Partner closely with GTM teams to proactively identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions. Define, source, validate, and operationalize the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions. Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains. Build scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets. Create dashboards, reports, analytical tools, and other data products that enable stakeholders to answer questions independently. Own the lifecycle of metrics, analytical models, and data products from initial exploration and prototyping through production and ongoing maintenance. Choose the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on the audience, urgency, complexity, and expected

pythonreactsql
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. About the Role We’re looking for applied AI engineers to help bring Codex agents from impressive demos to dependable tools. This role is about improving agent performance on real software engineering tasks and closing the gap between research capability and real-world usefulness. You’ll work closely with research, infrastructure, and product to ensure agents are not just powerful, but useful, steerable, and reliable in practice. The job is not only to improve model behavior in isolation, but to turn those improvements into measurable gains in solve rate, usefulness, and economic value for users. What You’ll Do Design and iterate on agent behaviors across real-world coding tasks and long-horizon workflows. Work closely with research to develop and run evals to measure agent performance, regressions, failure modes, and edge cases. Improve performance through prompting, tool-use strategies, context construction, and model-facing experimentation. Analyze failures in production and systematically improve robustness and reliability. Build feedback loops and data systems that get better real-task data into evaluation and research. Work with product teams to shape user-facing agent experiences and the interfaces the agent depends on. Help define what “good” looks like for agents completing complex tasks end-to-end. You Might Be a Good Fit If You Ha

pythonawsrest
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team: The OpenAI API team builds the foundation that enables every developer to harness OpenAI’s models safely, reliably, and at scale. We design and operate the systems that power model serving, API access, billing, developer tooling, and enterprise integrations—forming the connective tissue between OpenAI’s research breakthroughs and real-world products. Our mission is to make it effortless for anyone to build with OpenAI technology. We’re responsible for the infrastructure and product layers that allow millions of developers to integrate GPT models, fine-tune behavior, manage data, and deliver transformative experiences to their users. We collaborate across product, research, and engineering teams to ensure that innovation in model capabilities translates directly into value for customers. The API team spans multiple disciplines, including product management, infrastructure engineering, developer experience, and data systems. We care deeply about reliability, scalability, and simplicity—creating tools that let developers focus on their ideas while we handle the complexity of running world-class AI systems. About the Role: We are seeking an experienced Product Manager to define and scale the construction of our data processing, data privacy, billing, and access controls products. You will set strategy and execute on projects like expanding our regional data processing footprint, enabling new inference caching controls in the API or building APIs that make it easier for organizations to manage their spend limits. You will also define the strategy and ship foundational capabilities that ensure customers use OpenAI products securely, privately, and with enterprise-grade controls. This role partners deeply with engineering, security, legal, compliance, finance and leadership to deliver high-trust, enterprise-grade systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to n

awsrestai
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N
Notion
📍 Taiwan• Full-time
1mo ago

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role We’re looking for a Country Manager to be the single-threaded owner of establishing and growing Notion’s presence in Taiwan. This is a market-building leadership role. You will create initial market momentum, convert early demand into lighthouse customer wins, and install a repeatable operating system that scales. Think of it as building a startup within Notion: This is a builder-leader role for the AI and agentic era. you will own Notion's mission delivery and revenue maximization in-country — leading the Sales team while partnering closely with Marketing, Outcomes Architects, Professional Services, and other cross-functional teams to maximize impact. You'll operate with a high degree of autonomy in local decision-making, while staying tightly aligned with global and regional strategy. You'll report to the APAC GM. What You’ll Achieve: You will own all revenue of the Taiwan business Recruit and develop a high-performing sales team to drive pipeline and revenue Deeply understand existing and prospective Notion users in-market — their workflows, use cases, and unmet needs — and translate those insights into a market str

restaigo
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