Remote Jobs at Fieldguide

Candidates should have experience in customer onboarding or customer success roles, with a strong understanding of software platforms. Excellent communication and interpersonal skills are required to build trust and maintain engagement with customers. A proactive approach to problem-solving and the ability to advocate for customer needs within cross-functional teams is essential.

Candidates should possess a strong background in machine learning with a focus on Natural Language Processing (NLP) and generative AI. A proven track record in designing and implementing ML models is essential, along with experience in data curation and preparation. Familiarity with ETL processes and a commitment to staying updated with the latest ML advancements are also required.

Candidates should have extensive experience with modern web technologies, including TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWS. Strong skills in architecting systems and data pipelines for document-heavy data sets are essential. Experience in making architectural decisions and optimizing for iteration speed while ensuring high quality and technical rigor is also required.

Candidates should have a strong background in software engineering with experience in building and maintaining machine learning infrastructure. Proficiency in MLOps practices, including version control for models and datasets, is essential. Familiarity with cloud technologies and ETL processes is required, along with the ability to collaborate effectively with ML Engineers to optimize model performance.

Candidates should possess a Bachelor’s degree and possess at least 7 years of experience in program management, with a strong preference for experience in the technology or professional services industry. Demonstrated experience managing complex, large-scale technical programs is essential, particularly those involving cross-functional teams and strategic initiatives. Strong leadership and communication skills are required, along with the ability to influence stakeholders at all levels.

Candidates should possess at least 5 years of sales experience as an Account Executive, with a proven track record of securing new logos and achieving revenue targets. They should be adept at building relationships with key decision-makers and understanding their business needs, demonstrating a values-based selling approach.

Candidates should possess a Bachelor's degree in Computer Science or a related field, along with a minimum of 7 years of experience in software engineering, with a strong focus on AI and machine learning technologies. Demonstrated expertise in designing and developing scalable, high-performance software systems is essential, as is proficiency in programming languages such as Python and experience with cloud platforms like AWS or Azure.

Candidates should possess 5-7 years of experience building and scaling revenue technology systems in high-growth environments, demonstrating a proven ability to architect and implement Salesforce and other revenue tools. Strong experience with data integration, reporting, and process optimization is required, along with the ability to translate business requirements into actionable system enhancements. Experience with HubSpot, Gong, Outreach, ZoomInfo, and Apollo is also necessary.

Candidates should possess 10+ years of sales experience as an Account Executive, with a proven track record of exceeding quota and selling complex software solutions to key strategic accounts, along with 3+ years of experience working as a practitioner at an audit/advisory/assurance firm and/or selling in a closing role to Top 100 CPA firms. Strong executive presence and experience selling to executives at large enterprise customers are also required, as well as the ability to manage complex sal…

Candidates should have at least 2 years of experience managing or mentoring a sales team, preferably in a high-growth enterprise B2B SaaS environment. A minimum of 5 years of experience in a closing role with a proven track record of exceeding quota and closing complex enterprise deals is required. Experience in hiring, onboarding, and developing sales talent is essential. Familiarity with the audit, advisory, or assurance industry is a strong plus. Up to 30% travel is required.

Candidates should have extensive experience in Machine Learning (ML) and Large Language Models (LLMs), with a proven track record of leading the development of AI-driven features. Expertise in prompt engineering, context management, and model evaluation is essential, along with experience in designing and implementing retrieval-augmented generation (RAG) techniques and agent-based frameworks. The role requires strong architectural review skills, the ability to mentor other engineers, and experie…

Candidates must have experience managing a team of machine learning engineers and a strong understanding of ML and generative AI. A background in leading end-to-end delivery of ML-driven product features, particularly NLP and generative AI solutions, is required. Experience in strategic collaboration with product and design leaders, providing technical direction in ML architecture, establishing frameworks for evaluating model performance, and participating in hiring and talent development is als…

Candidates should have a strong background in Machine Learning (ML) and Large Language Models (LLMs), with experience in designing and implementing generative AI solutions. Proven ability to establish best practices for prompt engineering, context management, and model evaluation is essential. Experience with retrieval-augmented generation (RAG) techniques and building agent-based frameworks is required, along with the ability to review AI feature architectures and mentor other engineers. Collab…

Candidates should have 7 to 10 years of experience in value engineering, management consulting, sales engineering, or strategic finance. A strong understanding of the audit and advisory industry, including professional services firm economics, is required. Experience in developing value narratives, ROI models, and business cases for executive buyers is essential.

Candidates should have over 5 years of product management experience, with at least 3 years in a senior or lead role focusing on B2B SaaS products, strategy, roadmapping, and metrics. Experience with customer research, data synthesis, executive communication, and cross-functional collaboration is essential. Prior experience contributing to the culture and processes of a young product organization is also required.