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Software Application Development Engineer Jobs

6,428 active opportunities · Updated for October 2026

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Explore current software application development engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Blocktech
📍 Amsterdam• Full-time
1mo ago

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p

pythonci/cdrest
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Cohere
📍 San Francisco• Full-time
1mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We’re seeking an experienced Engineering Program Manager to join Cohere’s customer-facing Engineering Program Management team. We need someone with curiosity, drive, independence, and leadership, who has hands-on experience working directly with customers and managing projects for enterprise-grade software or enterprise-focused machine learning solutions. In return, you’ll have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform , Product and Go-to-Market teams, and be the “technical” voice of Cohere for the customer. You will get a chance to create extremely high-impact contributions to our fast-growing company, product and culture. As an Engineering Program Manager/ Technical Program Manager, you will: Communicate: Provide clear, timely, and objective communication across the tech organization, Cohere teams, leadership, and most importantly - our strategic customers and external partners. Optimize: Break down complex issues into strateg

gitmachine learningai
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1mo ago

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers via multi-channel technical support, demos, and presentations. You’ll be joining a team and company where you will be challenged, but also will immediately witness your contributions to Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Engage with customers via multiple channels (ticketing system, live chat, and screensharing tools) to identify and resolve technical support requests while continuing to educate our clients on the use of the platform Reproduce technical issues and dive into Datadog’s 1000+ integrations Become demo certified and lead a three-pillar demo to customers Participate in product conversations with internal teams based on feedback from client interactions Train as a highly knowledgeable specialist in one or more Datadog product area(s) Work from a Datadog office 3 - 5 days per week Who You Are: Experienced in multi-channel technical support at a SaaS company (2+ years of related experience) Experienced using Zendesk, Jira, Confluence, or similar software An engineer with previous technical troubleshooting and/or programming experience Self-motivated, detail-attentive, and have a desire for continuous learning A critical thinker who defaults to a client-centric approach An effective written and verbal communicator A tinkerer with some programming experience and a basic knowledge of Linux Able to work a rotating schedule that requires weekend availability Fluent in written and spoken English and Japanese as this role will interact with stak

linuxaigo
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1mo ago

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We are looking for a Senior Product Manager to join our Applied AI organization at Smartsheet. You'll own the roadmap for specialized AI agents and evaluation infrastructure, ship complex agent capabilities end-to-end, and define the standards that enable teams across the company to build agents successfully. You'll report to our Director of Product Management for Applied AI located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Own the strategy, roadmap, and execution for specialized AI agents and evaluation infrastructure Ship large, technically complex agent capabilities end-to-end with with a high degree of autonomy Define agentic development standards that enable teams beyond your own to build high-quality agents Mentor and develop junior PMs on your team Build strong cross-functional partnerships with engineering, design, and data science to drive alignment and move work forward Support other duties as assigned You Have: 8-10+ years of product management experience with technically complex platforms Fluency in AI/ML concepts -model evaluation, agent architectures, RAG, prompt engineering, quality measurement Track record of shipping enterprise software from inception to launch Experience building or managing evaluation and quality infrastructure for AI or ML systems (strongly preferred) Comfort operating in high-ambiguity environments with significant autonomy Exceptional communication skills and the ability to influence without auth

REMOTEvueawsai
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Trustpilot
📍 Amsterdam• Full-time
1mo ago

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! AI is changing the way consumers discover, evaluate and choose businesses online and Trustpilot is at the centre of that shift. Our reviews are increasingly becoming a trusted source for AI, with Trustpilot ranking as the fifth most cited page on the internet by ChatGPT in January 2026. As an Account Executive at Trustpilot, you’ll play a key role in helping businesses build trust and turn it into growth. You’ll own new business development across the Dutch market, working with companies to understand their challenges, uncover opportunities, and show them how Trustpilot can help them build credibility, strengthen their reputation, and win more customers. What you’ll be doing: Proactively build relationships and seek new business opportunities Generate new business opportunities with prospective clients by targeting various verticals Take ownership of the full 360 sales cycle (generating leads, demonstrating the product, pricing, negotiation and closing) Illustrate the value of Trustpilot products and software solutions to demonstrate growth opportunities and return of investment Compile and analyse data to present trends to prospects and clients Work closely with your colleagues in Customer Success, Partnerships, Sales development and management to ensure that you offer the best solution to our customers Build a healthy pipeline to ensure that you’re always exceeding your targets Who you are: Fluent in Dutch along with English working proficiency +3 years experience in a similar full cycle sales role in SaaS and tech Experienced in MEDDIC/MEDDPICC History of consistently reaching targets in a similar capacity over the past few years D

aigorust
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Modal
📍 New York• Full-time
1mo ago

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for Forward Deployed ML Engineers who want to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you'll partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads — LLM serving, model training (SFT, RLHF), audio pipelines, scientific computing, and more. You're helping teams reach outcomes most engineers can't on their own. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the AI stack, and energy for working directly with customers on hard problems. You will: Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and optimize production AI workloads

restaigo
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M
1mo ago

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you'll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more — helping them design and ship production infrastructure on Modal's platform. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. You will: Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal Lead technical discovery and architect

awsazuregcp
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Modal
📍 Sweden• Full-time
1mo ago

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for Forward Deployed ML Engineers who want to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you'll partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads — LLM serving, model training (SFT, RLHF), audio pipelines, scientific computing, and more. You're helping teams reach outcomes most engineers can't on their own. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the AI stack, and energy for working directly with customers on hard problems. You will: Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and optimize production AI workloads

restaigo
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Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. ROLE We’re looking for a high-performing strategic finance professional to join our growing GTM Finance team. Our business grows with our customers' usage, which makes the finance function highly strategic at Baseten: growth, pricing, margin, and capacity decisions are business model decisions. You'll sit at the center of them, partnering directly with GTM leadership and reporting into a finance team with a seat at the table for the calls that shape the company's trajectory. This role is ideal for someone with 3 to 7 years of experience across strategic finance, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience at a usage-based software company is a plus. RESPONSIBILITIES Own financial planning, forecasting, and budgeting processes for the GTM org Build and maintain financial models across revenue, S&M spend, headcount, and strategic bets Analyze the metrics that define a usage-based business – ARR, gross margin, consumption trends, retention, and GTM efficiency Partner with GTM leaders to set targets, evaluate growth initiatives, shape pricing, and design sales compensation Help prepare board materials, investor updates, and fundraising analyses Improve financial reporting, dashboards, and operational rigor so our infrastructure scales as fast as our revenue Work cross-functionally to turn ambiguous business questions into

sqlrestmachine learning
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Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We are looking for an IT Support / Operations Engineer to join Baseten as we continue to scale our IT team. In this role, you will play a critical part in bringing our technical support entirely in-house to provide a seamless, high-touch experience for all Baseten employees. As we continue to scale, you will be the primary point of contact for day-to-day technical issues, allowing you to have a direct impact on our team's productivity and overall office environment. This position is ideal for a hands-on problem solver who enjoys a mix of hardware and software troubleshooting, user lifecycle management, and maintaining the physical IT infrastructure of a modern office. While you will focus heavily on elevating our internal support standards, you will also assist with systems administration and workflow automation as our company evolves. This is a hybrid role based out of our San Francisco or New York office, following our standard policy of three days per week in-person to ensure our physical office and AV systems remain high-performing and reliable. RESPONSIBILITIES Serve as the escalation point for day-to-day technical support, diagnosing and resolving hardware and software issues across our Mac and Windows fleet Manage user lifecycle administration including provisioning, deprovisioning, and access management across all systems and services Own the IT onboarding experience for new employees — from laptop set

machine learningaigo
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1mo ago

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Location: Europe remote or London hybrid The role: We're looking for a Principal Product Designer (L7) to lead design across Synthesia's most complex and high-impact product surfaces. This is a senior IC role - you won't be managing a team, but you'll be operating at the highest level of individual craft and strategic influence, shaping direction across product domains and setting the standard for what great design looks like at Synthesia. This role sits at the intersection of product strategy, systems thinking, and exceptional craft. You'll define design direction for large, ambiguous problem spaces, anticipate risks before they become blockers, and reframe problems in ways that unlock better outcomes for customers, product teams, and the business. We're building a video platform for everyone - not a specialist tool - and we see a future where Synthesia sits alongside word processors, presentation software, and spreadsheets as a daily staple. Getting there requires design leadership that goes beyond execution: someone who helps the company make the right bets, raises the craft bar across the whole team, and builds the conditions for great design to thrive at scale. In this role you will: Lead large, complex, or

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Reporting to the Director Customer Success of DACH - you are energetic, driven, and care deeply about the success of our customers As a Customer Success Manager, you will drive Synthesia’s future growth by building relationships with clients and turning them into happy users You will be helping educate clients on a totally new way to create video content, and work very closely with sales to create a cohesive onboarding experience for new users You are capable of engaging in business-level and technical conversations at multiple levels of the organisation, including the C-suite Ideal for an individual who wants to expand their career with a fast-growing software company About you... Customer-facing experience in Customer Success Management / Client Service / Account Management / Technical Account Management / Implementation or similar ideally in B2B SaaS Experience in managing a Book of Business along with KPIs A track record in managing risk, forecasting, and identifying growth opportunities Establishing a trusted advisor relationship with our clients, driving value from Synthesia products and services Successfully onboarding new clients and building key relationships in the first critical months

aigorust
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Synthesia
📍 New York City• Full-time• From $175K/yr
1mo ago

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. As a Senior Commercial Counsel at Synthesia, you will work closely with our Sales, Marketing, Finance, Business Operations, and Go-To-Market organizations. Our team is a network of knowledgeable and supportive professionals who work as a unit, bringing bold ideas to the table and providing collaborative problem-solving. This role will report to the Director, Commercial Legal (NYC-based, overseeing commercial legal work for the Americas), and be responsible for various legal-related matters and projects involved with supporting the teams that sell and build our products. Responsibilities include: Drafting, reviewing, and negotiating a variety of commercial agreements to support sales, partnerships, and our purchase of software and services from vendors. Your primary focus will be on our service agreements, software licenses, data processing agreements, and NDAs for our prospective customers. We’ll ask you to draw from the experience you’ve gained from supporting hundreds or thousands of commercial transactions to help define business terms and structure deals in an optimal way; Advising on a variety of areas ranging from intellectual property, data privacy, data security, software licensing agreements, and go-to-

awsrestai
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F
1mo ago

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. Your role & Mission The Site Reliability Engineering team at Forto is responsible for reliability and developer experience. We enable our development teams to write complex business logic by providing best-in-class tooling and infrastructure. We have a production environment based on GCP, Kubernetes, Terraform, and Helm. On top of that, we have self-service tooling written in TypeScript. “You build it, you run it” - our job is to make that real. This is a high-ownership role on a lean team that directly shapes how 70+ engineers build and ship software. If you care about platform quality and want your work felt immediately across an engineering org, this is a great match for you. What you will do Build out our runtime platform as a self-service product that enables our engineering teams to write code, run workloads, and drive engineering culture forward. Bring software development skills and practices into platform engineering, such as code quality, domain-driven design, and test-driven development. Own the developer portal and internal platform roadmap, including leading this year's overhaul of our CI/CD pipelines in collaboration with all product teams. Ensure site reliability by building observability solutions, deployment, and disaster recovery capabilities. Own reliability standards end-to-end through SLOs and error budgets — shaping how teams balance velocity and risk. Drive infrastructure cost optimisation across Kubernetes, MongoDB, and Datadog at scale. Improve our security posture through tooling, compliance work, and

typescriptmongodbaws
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Coder
📍 United States• Full-time
1mo ago

We’re hiring a Sr. Customer Success Manager to turn new deployments into measurable outcomes for engineering teams using Coder. You guide customers from onboarding through renewal, clearing blockers, and aligning our platform to their goals. You lead rollouts, monitor health and usage, and keep stakeholders informed. You partner with Sales on expansions and renewals, and with Support and Product on issues and feedback. What you’ll do here Own onboarding and rollout plans for new customers; coordinate with Sales for a smooth, successful implementation of Coder’s platform Remove barriers to adoption so customers achieve their desired outcomes expediently Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross‑sell motions Oversee renewals and forecasting, ensuring timely, successful commitments Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve Monitor and report on customer health and usage Develop deep expertise in Coder’s products to provide global customer coverage What we’re looking for 3+ years in software/SaaS sales and/or customer success, with enterprise experience preferred Working knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC Hands-on experience with Salesforce and other industry-standard CS platforms History of building strong relationships across executive, business, and technical stakeholders Consistent internal advocacy for customers and the ability to provide actionable feedback for Product and cross‑functional teams Habit of staying current on industry trends, CS best practices, and the competitive landscape Startup experience High EQ with strong verbal communication and technical writing skills Self‑motivated with a creative and analytical approach

awsci/cdai
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