About this role We are seeking a foundational member for the Cloud Infrastructure team at Writer. This role involves contributing to the development and implementation of our Site Reliability Engineering (SRE) program. The ideal candidate will ensure the reliability, scalability, performance, and security of Writer's critical systems, proactively guaranteeing that our high-ROI products reach customers seamlessly. Your responsibilities: Lead the design, implementation, and maintenance of Writer, Inc.'s cloud infrastructure to ensure high availability and performance. Design and implement scalable cloud automation to support seamless deployment for our largest enterprise customers. Automate infrastructure provisioning and management using Terraform & Python. Collaborate with development teams to optimize cloud resources and enhance system reliability. Develop and maintain monitoring and alerting systems to proactively identify and resolve issues affecting system reliability. Conduct post-mortem analyses of system failures to identify root causes and implement preventive measures. Optimize and scale our cloud infrastructure to support growing user demand and ensure cost efficiency. Ensure the security and compliance of our systems, adhering to industry standards and regulations. Provide mentorship and technical guidance to junior engineers, fostering a culture of reliability and continuous improvement. Stay current with emerging technologies and industry trends to improve our site reliability practices. Is this you? Proven expertise in Site Reliability Engineering with at least 7 years of hands-on experience. Deep understanding of system architecture and infrastructure design for high availability and performance. Bachelor's degree in Computer Science, Engineering, or a related field. Strong proficiency in programming languages such as Python, Java, or Go for automation and monitoring. Experience with cloud platforms like AWS, Azure, or GCP, and their services for scalable, resilient systems. Expertise in containerization technologies (e.g., Docker, Kubernetes) and orchestration tools. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for maintaining system health and performance. Ability to lead and mentor junior engineers in reliability and system optimization best practices. Excellent communication skills for effective collaboration with cross-functional teams and stakeholders. Proactive in identifying and mitigating potential system failures and performance issues. Preferred skills & experience: Software engineering expertise. Terraform. Python. Kubernetes. Scala. AWS/GCP. Benefits & perks (UK full-time employees): Generous PTO and company holidays. Comprehensive medical and dental insurance. Paid parental leave for all parents (12 weeks). Fertility and family planning support. Early-detection cancer testing through Galleri. Competitive pension scheme and company contribution. Annual work-life stipends for home office setup, cell phone, internet, wellness activities, and learning & development. Company-wide and team off-sites. Competitive compensation and stock options.
Jul 05, 2025
Full time
About this role We are seeking a foundational member for the Cloud Infrastructure team at Writer. This role involves contributing to the development and implementation of our Site Reliability Engineering (SRE) program. The ideal candidate will ensure the reliability, scalability, performance, and security of Writer's critical systems, proactively guaranteeing that our high-ROI products reach customers seamlessly. Your responsibilities: Lead the design, implementation, and maintenance of Writer, Inc.'s cloud infrastructure to ensure high availability and performance. Design and implement scalable cloud automation to support seamless deployment for our largest enterprise customers. Automate infrastructure provisioning and management using Terraform & Python. Collaborate with development teams to optimize cloud resources and enhance system reliability. Develop and maintain monitoring and alerting systems to proactively identify and resolve issues affecting system reliability. Conduct post-mortem analyses of system failures to identify root causes and implement preventive measures. Optimize and scale our cloud infrastructure to support growing user demand and ensure cost efficiency. Ensure the security and compliance of our systems, adhering to industry standards and regulations. Provide mentorship and technical guidance to junior engineers, fostering a culture of reliability and continuous improvement. Stay current with emerging technologies and industry trends to improve our site reliability practices. Is this you? Proven expertise in Site Reliability Engineering with at least 7 years of hands-on experience. Deep understanding of system architecture and infrastructure design for high availability and performance. Bachelor's degree in Computer Science, Engineering, or a related field. Strong proficiency in programming languages such as Python, Java, or Go for automation and monitoring. Experience with cloud platforms like AWS, Azure, or GCP, and their services for scalable, resilient systems. Expertise in containerization technologies (e.g., Docker, Kubernetes) and orchestration tools. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for maintaining system health and performance. Ability to lead and mentor junior engineers in reliability and system optimization best practices. Excellent communication skills for effective collaboration with cross-functional teams and stakeholders. Proactive in identifying and mitigating potential system failures and performance issues. Preferred skills & experience: Software engineering expertise. Terraform. Python. Kubernetes. Scala. AWS/GCP. Benefits & perks (UK full-time employees): Generous PTO and company holidays. Comprehensive medical and dental insurance. Paid parental leave for all parents (12 weeks). Fertility and family planning support. Early-detection cancer testing through Galleri. Competitive pension scheme and company contribution. Annual work-life stipends for home office setup, cell phone, internet, wellness activities, and learning & development. Company-wide and team off-sites. Competitive compensation and stock options.
About this Role As a Software engineer, AI retrieval, you will be responsible for designing, implementing, and optimizing the AI retrieval systems that power our platform. You'll work closely with our data scientists, product managers, and other engineers to ensure that our AI models are integrated seamlessly into our applications, providing fast and accurate results. This role requires a deep understanding of software engineering principles and a strong foundation in AI and machine learning. ️ Your responsibilities: Design and implement AI retrieval systems : Develop and maintain the core AI retrieval algorithms and services that enable our platform to efficiently search and retrieve relevant content. Optimize performance : Ensure that our AI retrieval systems are highly performant, scalable, and can handle large volumes of data and requests. Collaborate with cross-functional teams : Work closely with data scientists, product managers, and other engineers to understand requirements, provide technical guidance, and deliver high-quality solutions. Code quality and best practices : Write clean, maintainable, and well-documented code, adhering to best practices in software engineering. Testing and validation : Develop comprehensive unit and integration tests to ensure the reliability and accuracy of our AI retrieval systems. API development : Build and maintain REST and GraphQL APIs using frameworks like FastAPI and Flask to expose our AI retrieval capabilities to other services and applications. Streaming and cancelable endpoints : Implement streaming responses and cancelable endpoints to support real-time and interactive use cases, such as model output. Continuous improvement : Stay up-to-date with the latest developments in AI and software engineering, and continuously improve our systems and processes. ️ Is this you? Language fundamentals : Proficient in Python, with a strong understanding of data types, string manipulation, type casting and conversions. Functions : Experienced in calling functions, using default and variable arguments, and writing lambda functions. Virtual environments : Familiar with tools like venv, virtualenv, pipenv, and poetry for managing project dependencies. File handling : Skilled in reading, writing, and manipulating files in Python. Error Handling: Expert in handling errors and exceptions to ensure robust and reliable code. Datamodels : Knowledgeable in designing and using data models to represent and manage data efficiently. Context managers and logging best practices : Proficient in using context managers and implementing logging best practices to maintain code clarity and traceability. Inheritance and method overriding : Experienced with object-oriented programming concepts, including inheritance and method overriding. Magic methods: Familiar with Python's magic methods to enhance the functionality of custom classes. Code formatting : Adheres to code formatting standards using tools like black, isort, flake8, and pylint. Testing : Strong background in testing methodologies, including unit testing with pytest, mocking, and integration testing. Versioning : Familiar with semantic versioning and maintaining changelogs to track changes and updates. Data structures : Proficient in using stack, queue, and priority queue data structures (via collections) to manage and process data efficiently. Functional programming : Experienced in functional programming concepts such as map, filter, reduce, generators, and decorators. Async programming : Skilled in asynchronous programming using asyncio, aiohttp, async generators, and handling timeouts with wait_for. Threading vs multiprocessing : Understands the differences and trade-offs between threading and multiprocessing, and can choose the appropriate approach for different tasks. Memory and performance profiling : Proficient in using tools like tracemalloc and cProfile to identify and optimize memory usage and performance bottlenecks. API development : Experienced in developing and maintaining REST and GraphQL APIs using frameworks like FastAPI and Flask. Streaming responses and cancelable endpoints : Capable of implementing streaming responses and cancelable endpoints to support real-time and interactive use cases. Preferred skills and experience Machine learning experience : Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Natural Language Processing (NLP) : Experience with NLP techniques and tools, such as spaCy or NLTK. Distributed systems : Knowledge of distributed systems and experience with tools like Kubernetes or Docker. Cloud services : Experience with cloud platforms like AWS, GCP, or Azure. Open source contributions : Contributions to open-source projects or a strong portfolio of personal projects. Benefits & perks (UK full-time employees): Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (12 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Home office setup, cell phone, internet Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
Jul 04, 2025
Full time
About this Role As a Software engineer, AI retrieval, you will be responsible for designing, implementing, and optimizing the AI retrieval systems that power our platform. You'll work closely with our data scientists, product managers, and other engineers to ensure that our AI models are integrated seamlessly into our applications, providing fast and accurate results. This role requires a deep understanding of software engineering principles and a strong foundation in AI and machine learning. ️ Your responsibilities: Design and implement AI retrieval systems : Develop and maintain the core AI retrieval algorithms and services that enable our platform to efficiently search and retrieve relevant content. Optimize performance : Ensure that our AI retrieval systems are highly performant, scalable, and can handle large volumes of data and requests. Collaborate with cross-functional teams : Work closely with data scientists, product managers, and other engineers to understand requirements, provide technical guidance, and deliver high-quality solutions. Code quality and best practices : Write clean, maintainable, and well-documented code, adhering to best practices in software engineering. Testing and validation : Develop comprehensive unit and integration tests to ensure the reliability and accuracy of our AI retrieval systems. API development : Build and maintain REST and GraphQL APIs using frameworks like FastAPI and Flask to expose our AI retrieval capabilities to other services and applications. Streaming and cancelable endpoints : Implement streaming responses and cancelable endpoints to support real-time and interactive use cases, such as model output. Continuous improvement : Stay up-to-date with the latest developments in AI and software engineering, and continuously improve our systems and processes. ️ Is this you? Language fundamentals : Proficient in Python, with a strong understanding of data types, string manipulation, type casting and conversions. Functions : Experienced in calling functions, using default and variable arguments, and writing lambda functions. Virtual environments : Familiar with tools like venv, virtualenv, pipenv, and poetry for managing project dependencies. File handling : Skilled in reading, writing, and manipulating files in Python. Error Handling: Expert in handling errors and exceptions to ensure robust and reliable code. Datamodels : Knowledgeable in designing and using data models to represent and manage data efficiently. Context managers and logging best practices : Proficient in using context managers and implementing logging best practices to maintain code clarity and traceability. Inheritance and method overriding : Experienced with object-oriented programming concepts, including inheritance and method overriding. Magic methods: Familiar with Python's magic methods to enhance the functionality of custom classes. Code formatting : Adheres to code formatting standards using tools like black, isort, flake8, and pylint. Testing : Strong background in testing methodologies, including unit testing with pytest, mocking, and integration testing. Versioning : Familiar with semantic versioning and maintaining changelogs to track changes and updates. Data structures : Proficient in using stack, queue, and priority queue data structures (via collections) to manage and process data efficiently. Functional programming : Experienced in functional programming concepts such as map, filter, reduce, generators, and decorators. Async programming : Skilled in asynchronous programming using asyncio, aiohttp, async generators, and handling timeouts with wait_for. Threading vs multiprocessing : Understands the differences and trade-offs between threading and multiprocessing, and can choose the appropriate approach for different tasks. Memory and performance profiling : Proficient in using tools like tracemalloc and cProfile to identify and optimize memory usage and performance bottlenecks. API development : Experienced in developing and maintaining REST and GraphQL APIs using frameworks like FastAPI and Flask. Streaming responses and cancelable endpoints : Capable of implementing streaming responses and cancelable endpoints to support real-time and interactive use cases. Preferred skills and experience Machine learning experience : Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Natural Language Processing (NLP) : Experience with NLP techniques and tools, such as spaCy or NLTK. Distributed systems : Knowledge of distributed systems and experience with tools like Kubernetes or Docker. Cloud services : Experience with cloud platforms like AWS, GCP, or Azure. Open source contributions : Contributions to open-source projects or a strong portfolio of personal projects. Benefits & perks (UK full-time employees): Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (12 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Home office setup, cell phone, internet Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
About this role We are seeking a highly skilled and experienced Software engineering technical lead manager to lead and grow a team of software engineers. This is a critical leadership role within our engineering organization, with a high impact on the overall success of our business. The ideal candidate will have a strong technical background, exceptional leadership skills, and a track record of successfully managing and scaling engineering teams. This role is not suitable for candidates who want to focus solely on people management, however, there is plenty of room to grow with the organization. This role reports to the CTO. ️ Your responsibilities: Leadership and team management: Provide strategic direction and guidance to the engineering team, ensuring alignment with the company's goals and objectives. Foster a culture of collaboration, innovation, and continuous improvement within the team. Manage and mentor a team of high-performing software engineers; providing guidance, support, and professional development opportunities. Promote a positive and inclusive work environment that encourages diversity and empowers team members to reach their full potential. Conduct regular performance evaluations, provide constructive feedback, and address any performance issues in a timely manner. Technical excellence: Drive technical excellence and ensure the team delivers high-quality, scalable, and reliable software solutions. Collaborate with cross-functional teams to define and prioritize engineering initiatives, ensuring alignment with business objectives. Stay up-to-date with industry trends, emerging technologies, and best practices, and leverage this knowledge to drive innovation within the team. Foster a culture of continuous learning and professional development, encouraging team members to enhance their technical skills and knowledge. Project and resource management: Oversee the planning, execution, and delivery of engineering projects, ensuring they are completed on time and within budget. Allocate resources effectively, considering the skills, expertise, and availability of team members. Collaborate with stakeholders to define project requirements, scope, and timelines, and manage expectations throughout the project lifecycle. Monitor project progress, identify and mitigate risks, and proactively communicate updates to stakeholders. Collaboration and communication: Foster strong relationships with stakeholders, including product managers, designers, and other engineering teams, to ensure effective collaboration and alignment. Communicate engineering initiatives, progress, and challenges to senior leadership and other relevant stakeholders. Act as a liaison between the engineering team and other departments, facilitating effective communication and collaboration. ️ Is this you? Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 8-10 years in software engineering, with a strong technical background Strong technical background in software engineering and development, with expertise in distributed systems, multiple programming languages (eg; Scala, Java, and Python), various language constructs, frameworks, and technologies. 3-5 years of demonstrated experience managing and leading engineering teams, preferably in a distributed setting You are a software engineer and maintain a strong desire to be hands-on with the teams you lead and manage; you code and deliver with your team Passionate about technical leadership, working cross-collaboratively with stakeholders and you enjoy managing small, high-performing teams while in the trenches. Track record of successfully guiding the work of the teams you lead and you've scaled teams from the ground up and you are engaged in hiring. Excellent leadership and people management skills, with the ability to inspire and motivate team members. Strong project management skills, with the ability to prioritize and manage multiple projects simultaneously. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. Strong problem-solving and decision-making abilities, with a focus on delivering results. Bonus: You have a background in building developer platforms, generative AI, B2B SaaS, or functional programming. Benefits & perks (US Full-time employees) Generous PTO, plus company holidays Medical, dental, and vision coverage for you and your family Paid parental leave for all parents (12 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Flexible spending account and dependent FSA options Health savings account for eligible plans with company contribution Annual work-life stipends for: Home office setup, cell phone, internet Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to Writer's Global Candidate Privacy Notice .
Jul 03, 2025
Full time
About this role We are seeking a highly skilled and experienced Software engineering technical lead manager to lead and grow a team of software engineers. This is a critical leadership role within our engineering organization, with a high impact on the overall success of our business. The ideal candidate will have a strong technical background, exceptional leadership skills, and a track record of successfully managing and scaling engineering teams. This role is not suitable for candidates who want to focus solely on people management, however, there is plenty of room to grow with the organization. This role reports to the CTO. ️ Your responsibilities: Leadership and team management: Provide strategic direction and guidance to the engineering team, ensuring alignment with the company's goals and objectives. Foster a culture of collaboration, innovation, and continuous improvement within the team. Manage and mentor a team of high-performing software engineers; providing guidance, support, and professional development opportunities. Promote a positive and inclusive work environment that encourages diversity and empowers team members to reach their full potential. Conduct regular performance evaluations, provide constructive feedback, and address any performance issues in a timely manner. Technical excellence: Drive technical excellence and ensure the team delivers high-quality, scalable, and reliable software solutions. Collaborate with cross-functional teams to define and prioritize engineering initiatives, ensuring alignment with business objectives. Stay up-to-date with industry trends, emerging technologies, and best practices, and leverage this knowledge to drive innovation within the team. Foster a culture of continuous learning and professional development, encouraging team members to enhance their technical skills and knowledge. Project and resource management: Oversee the planning, execution, and delivery of engineering projects, ensuring they are completed on time and within budget. Allocate resources effectively, considering the skills, expertise, and availability of team members. Collaborate with stakeholders to define project requirements, scope, and timelines, and manage expectations throughout the project lifecycle. Monitor project progress, identify and mitigate risks, and proactively communicate updates to stakeholders. Collaboration and communication: Foster strong relationships with stakeholders, including product managers, designers, and other engineering teams, to ensure effective collaboration and alignment. Communicate engineering initiatives, progress, and challenges to senior leadership and other relevant stakeholders. Act as a liaison between the engineering team and other departments, facilitating effective communication and collaboration. ️ Is this you? Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 8-10 years in software engineering, with a strong technical background Strong technical background in software engineering and development, with expertise in distributed systems, multiple programming languages (eg; Scala, Java, and Python), various language constructs, frameworks, and technologies. 3-5 years of demonstrated experience managing and leading engineering teams, preferably in a distributed setting You are a software engineer and maintain a strong desire to be hands-on with the teams you lead and manage; you code and deliver with your team Passionate about technical leadership, working cross-collaboratively with stakeholders and you enjoy managing small, high-performing teams while in the trenches. Track record of successfully guiding the work of the teams you lead and you've scaled teams from the ground up and you are engaged in hiring. Excellent leadership and people management skills, with the ability to inspire and motivate team members. Strong project management skills, with the ability to prioritize and manage multiple projects simultaneously. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. Strong problem-solving and decision-making abilities, with a focus on delivering results. Bonus: You have a background in building developer platforms, generative AI, B2B SaaS, or functional programming. Benefits & perks (US Full-time employees) Generous PTO, plus company holidays Medical, dental, and vision coverage for you and your family Paid parental leave for all parents (12 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Flexible spending account and dependent FSA options Health savings account for eligible plans with company contribution Annual work-life stipends for: Home office setup, cell phone, internet Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to Writer's Global Candidate Privacy Notice .
About this role Every company grows differently, and we grow when we help our users write better, faster. As a Solutions architect (pre-sales), your objective will be to support our prospects in identifying, evaluating, and validating ways in which Writer can make a meaningful impact to their business and the content they create. This is not just a consulting role; you'll be spending a lot of time building and running proof of concepts for prospects. You'll be working with some of our largest prospecting Enterprise customers to grow their usage of Generative AI and will be deeply embedded into our customers and prospects. You will primarily serve the sales team as their prospects evaluate Writer. You will provide technical expertise to uncover and validate use-cases, while also building proof-of-concept projects to validate Writer's ability to meet a customer's needs. Your positivity, sense of curiosity, and ability to create champions from early adopters in the AI writing space will help shape our entire culture. If you have a builder mentality, this is the role for you. ️ Your responsibilities: Partner with our account executives and prospects in use-case validation calls as the technical expert to uncover how they can leverage solutions including, custom templates, Knowledge Graph and our APIs. Scope prospect's business and technical needs, including tools, workflows, data structure, and integration points to ensure Writer can feasibly execute against Conduct discovery on existing processes, identifying and quantifying current business pain and proposed impact of Writer's solutions to address Build custom templates for customers, lead feedback reviews of the templates, and then conduct additional fine-tuning to meet customer criteria Lead proof-of-concept pilots of Writer by building solutions to validate technical requirements Act as the technical lead for RFP responses and evaluations Work hand-in-hand with prospects to explain the value of our APIs, while helping them evaluate and test use-cases with them Develop and maintain a deep understanding of the Writer solutions, the broader AI and LLM landscape, as well as our customer's ecosystem so you can offer prescriptive solution recommendations Work alongside Product and Engineering to QA the outputs from the implementation, calibrate, and iterate until we have an optimal output Act as a resource and technical liaison for our Partner ecosystem, ensuring they understand the capabilities and use-cases possible via our APIs and custom apps ️ Is this you? 5+ years of experience in technical customer-facing roles such as Solutions Architect or Sales Engineer Have worked with Fortune 500 customers for a high-growth, B2B SaaS company Experience with generative AI and prompt engineering is a huge plus Comfortable with python and ability to pick up coding frameworks Python skills so that you can easily build on top of Writer Framework Experience working with APIs, especially Generative AI services An excellent communicator and collaborator, able to take complex technical concepts and translate to practical business language for non-technical audiences Highly versatile, can lead a discovery session with multiple stakeholders, uncovering use cases and business pain, while also being able to have the technical acumen to address complex technical hurdles Customer outcome-oriented: a laser focus on delivering solutions that create meaningful business results Tenured problem solver, able to identify the root cause of issues and work collaboratively to resolve Experience working across many customer stakeholders and teams Previously been a top-performing SA and have sold 1M+ deals in highly regulated spaces Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (12 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Home office setup, cell phone, internet Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
Jun 30, 2025
Full time
About this role Every company grows differently, and we grow when we help our users write better, faster. As a Solutions architect (pre-sales), your objective will be to support our prospects in identifying, evaluating, and validating ways in which Writer can make a meaningful impact to their business and the content they create. This is not just a consulting role; you'll be spending a lot of time building and running proof of concepts for prospects. You'll be working with some of our largest prospecting Enterprise customers to grow their usage of Generative AI and will be deeply embedded into our customers and prospects. You will primarily serve the sales team as their prospects evaluate Writer. You will provide technical expertise to uncover and validate use-cases, while also building proof-of-concept projects to validate Writer's ability to meet a customer's needs. Your positivity, sense of curiosity, and ability to create champions from early adopters in the AI writing space will help shape our entire culture. If you have a builder mentality, this is the role for you. ️ Your responsibilities: Partner with our account executives and prospects in use-case validation calls as the technical expert to uncover how they can leverage solutions including, custom templates, Knowledge Graph and our APIs. Scope prospect's business and technical needs, including tools, workflows, data structure, and integration points to ensure Writer can feasibly execute against Conduct discovery on existing processes, identifying and quantifying current business pain and proposed impact of Writer's solutions to address Build custom templates for customers, lead feedback reviews of the templates, and then conduct additional fine-tuning to meet customer criteria Lead proof-of-concept pilots of Writer by building solutions to validate technical requirements Act as the technical lead for RFP responses and evaluations Work hand-in-hand with prospects to explain the value of our APIs, while helping them evaluate and test use-cases with them Develop and maintain a deep understanding of the Writer solutions, the broader AI and LLM landscape, as well as our customer's ecosystem so you can offer prescriptive solution recommendations Work alongside Product and Engineering to QA the outputs from the implementation, calibrate, and iterate until we have an optimal output Act as a resource and technical liaison for our Partner ecosystem, ensuring they understand the capabilities and use-cases possible via our APIs and custom apps ️ Is this you? 5+ years of experience in technical customer-facing roles such as Solutions Architect or Sales Engineer Have worked with Fortune 500 customers for a high-growth, B2B SaaS company Experience with generative AI and prompt engineering is a huge plus Comfortable with python and ability to pick up coding frameworks Python skills so that you can easily build on top of Writer Framework Experience working with APIs, especially Generative AI services An excellent communicator and collaborator, able to take complex technical concepts and translate to practical business language for non-technical audiences Highly versatile, can lead a discovery session with multiple stakeholders, uncovering use cases and business pain, while also being able to have the technical acumen to address complex technical hurdles Customer outcome-oriented: a laser focus on delivering solutions that create meaningful business results Tenured problem solver, able to identify the root cause of issues and work collaboratively to resolve Experience working across many customer stakeholders and teams Previously been a top-performing SA and have sold 1M+ deals in highly regulated spaces Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (12 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Home office setup, cell phone, internet Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options