Software Engineer, Data Platform at profound | New York City

At Profound, we are dedicated to empowering organizations to effectively navigate and manage their AI presence. We are currently seeking a skilled Data Engineer to lead the development and enhancement of our data platform. In this role, you will be responsible for maintaining and optimizing our data pipelines, crafting innovative data ingestion processes, and addressing the data requirements of our product, data science, and go-to-market teams.This position is an excellent opportunity for individuals who thrive in working with cutting-edge data tools, enhancing system performance and reliability, and laying the groundwork for machine learning-driven functionalities.

At Profound, we are dedicated to empowering businesses to comprehend and manage their AI presence effectively. As an Engagement Associate, you will work closely with the Engagement Management team to meet customer needs, stimulate adoption, and promote impactful results through specialized support and initiatives. Your role will involve guiding customers through the evolving landscape of search, sharing best practices and actionable strategies to enhance their AI visibility using the Profound platform.Key ResponsibilitiesAssist the Engagement Management team by organizing daily customer meetings, preparing necessary materials, tracking action items, and supporting strategic initiatives.Conduct regular strategic AEO audits that provide essential insights, performance metrics, and tailored recommendations for clients ranging from startups to enterprises.Acquire a thorough understanding of customer goals and their wider marketing landscape.Manage multiple customer engagements effectively to minimize risks associated with stakeholder changes, and oversee customer Slack channels to ensure prompt responses to all inquiries.Collaborate cross-functionally with Sales, Product, and Engineering teams to enhance customer implementation processes and resolve any technical issues.Who We SeekA self-motivated individual with a strong drive to achieve ambitious goals.A strategic thinker who excels at solving complex problems.A dedicated professional ready to engage in hard work.A resilient individual comfortable with high-volume interactions in fast-paced environments.An enthusiastic learner who is open to feedback and committed to continuous improvement.Bonus: Experience or aspirations towards becoming an Engagement Manager.Work EnvironmentThis position is on-site at our Union Square office in NYC, tailored for innovators who thrive on speed, iteration, and significant impact.The expected base salary for this role is $80,000 prior to commission, with an on-target earnings estimate of $115,000. Profound's comprehensive compensation package is designed to be competitive, including base salary, equity, and a full suite of benefits and perks. Final compensation will be determined based on your skills, experience, qualifications, and location during the interview process. Our recruiting team will provide further details regarding the complete compensation package.

At Profound, we are dedicated to empowering organizations to navigate and master their AI footprint. We are seeking innovative AI Strategists to engage in analytical tasks at the forefront of brand visibility within AI ecosystems.In this hands-on role, you will delve into extensive AI prompt data, assessing brand presence across platforms like ChatGPT, Perplexity, and Claude, while translating your insights into actionable, data-driven strategies.You will collaborate with our key accounts and liaise with senior stakeholders, providing technical expertise grounded in empirical data, shaping how businesses thrive in an AI-centric environment.

Join Profound as a Product Manager where you will be instrumental in driving innovative product solutions that meet the evolving needs of our customers. In this role, you will collaborate with cross-functional teams to define product vision, strategy, and roadmap. You will analyze market trends and user feedback to enhance product features and ensure successful product launches.

At Profound, we are dedicated to empowering businesses to comprehend and manage their AI presence effectively. As the Chief of Staff, you will serve as a pivotal force for our leadership team, enhancing alignment, driving execution, and leveraging opportunities throughout the organization. This position is ideal for a proactive individual with a strong sense of ownership, who excels in uncertain environments and understands how to generate value autonomously. You will find no task too large or too small in this dynamic role.Your ResponsibilitiesCollaborate closely with the CEO and leadership team to prioritize, implement, and monitor progress on key strategic initiatives that significantly impact the organization.Enhance decision-making processes, oversee leadership schedules, and ensure commitments are fulfilled to maximize leadership efficiency.Engage cross-functionally with Product, Engineering, Growth, and Customer Success teams to bridge gaps, accelerate advancements, and uncover new prospects.Cultivate trust and alignment across teams to foster collaboration without relying on formal reporting structures.Take the lead on ambiguous, high-priority initiatives such as establishing new processes, addressing operational challenges, or exploring innovative growth strategies.Provide strategic insights, surface valuable information, and assist in shaping the future trajectory of Profound.Your ProfileA driven and high-agency operator, ambitious and proactive, identifying and addressing gaps without waiting for permission.A seasoned leader with experience as a product manager, founder, or early-stage operator, responsible for outcomes across the board.A collaborative leader adept at influencing and achieving alignment across teams without formal authority.Strategically minded and detail-oriented, comfortable with both high-level thinking and execution details, with a willingness to tackle any task.Resilient and resourceful, thriving in uncertainty, quickly adapting, and favoring action.LocationThis is an on-site position located in our Union Square, NYC office, designed for individuals who excel in a fast-paced, iterative environment and seek to make a significant impact.The anticipated base salary for this role ranges from $150,000 to $200,000. Profound offers a competitive total compensation package that includes base salary, equity, and a comprehensive range of benefits and perks. Final compensation will be influenced by various factors such as experience and skill level.

At Profound, we are dedicated to empowering companies in navigating and managing their AI influence. As an Operations Associate, you will play a pivotal role in ensuring the seamless operation of our daily activities, enabling our team to accelerate progress, maintain organization, and support our scaling efforts as we expand.This position is ideal for a versatile individual who thrives in a dynamic environment, enjoys problem-solving, and wishes to gain insight into all aspects of a rapidly growing startup—from human resources to financial management to operational logistics.

At Profound, we are dedicated to empowering organizations to navigate and optimize their AI presence. As a Sales Development Representative, you'll play a pivotal role in our expansion strategy, spearheading outbound prospecting efforts, securing high-caliber meetings, and influencing Profound's engagement with prospective clients. You will collaborate closely with our Sales and Marketing teams to execute carefully crafted and impactful outbound campaigns, shaping the initial interactions companies have with us in an ever-evolving AI landscape. This role transcends the traditional SDR responsibilities.Key ResponsibilitiesLead outbound strategies by identifying and connecting with high-potential prospects within targeted industries.Implement personalized and structured outreach campaigns to cultivate qualified meetings and build a robust sales pipeline.Oversee high-volume outreach initiatives with precision, ensuring quality, consistent messaging, and timely follow-ups.Work in tandem with Sales and Marketing teams to refine targeting strategies, messaging, and market entry experiments.Contribute to the development of outbound playbooks and prospecting strategies as the team grows.Ideal CandidateA smart, driven, and self-motivated individual with a passion for cold outreach and sales development.Receptive to coaching and feedback, with a desire to continuously improve your sales approach.Skilled at managing high-volume, quality interactions and resilient against rejection.Detail-oriented, with a thoughtful approach to personalizing outreach that makes prospects feel genuinely valued.Eager to learn about the complete sales process and aspire to transition into an Account Executive role over time.Work EnvironmentThis position is on-site at our Union Square office in New York City, ideal for individuals who thrive in a fast-paced environment focused on innovation and impactful results.The expected base salary for this role is $80,000, with a potential total compensation of $115,000 based on performance. Profound offers a competitive compensation package that includes base salary, equity options, and a comprehensive range of benefits. The final compensation will be determined during the interview process based on your skills, experience, and qualifications. Our recruitment team will provide further details regarding the full compensation package as you progress through the hiring stages.

At Profound, we are committed to empowering businesses to effectively understand and manage their AI landscape. As a Forward Deployed Engineer, you will serve as a pivotal technical liaison between our engineering team and our prestigious Fortune 500 clientele. Your role will blend extensive engineering know-how with outstanding communication skills to ensure our clients successfully integrate and derive maximum value from our innovative platform.In this position, you will be responsible for writing production-grade code, architecting tailored integrations, and tackling intricate technical challenges while engaging with clients. You'll be presenting to CTOs and translating technical requirements between engineering and executive teams. This is a dynamic role for a full-stack engineer who thrives on direct customer interaction.Your Key ResponsibilitiesDesign and implement custom integrations linking Profound’s platform with enterprise systems.Develop production-quality features using TypeScript, Python, and Next.js tailored to client specifications.Architect robust solutions that accommodate enterprise-scale data volumes and stringent security protocols.Troubleshoot complex issues that span client infrastructure and Profound systems.Enhance performance for clients managing millions of queries daily.Facilitate technical discussions with client engineering teams and C-suite executives.Participate in client meetings to gather requirements and convert them into actionable technical solutions.Present technical architectures and implementation strategies to varied audiences.Cultivate trusted relationships with technical leaders in Fortune 500 companies.Conduct technical workshops and training for client teams.Identify trends in client needs and collaborate with Product to create scalable solutions.Contribute insights to core product development based on field experiences.Develop reusable components and libraries for consistent integration patterns.Document technical solutions and craft implementation guides.Shape the product roadmap using direct customer feedback.Lead enterprise proofs of concept that pave the way for multi-million dollar contracts.Design data pipelines that integrate with client BI tools and data warehouses.Create customized dashboards and reporting solutions for executive stakeholders.

At profound, we are dedicated to empowering organizations with the insights and control they need over their AI presence. We are seeking a proactive Security Engineer to spearhead the security framework of our platform, infrastructure, and corporate environment. You will collaborate closely with our Engineering and Operations teams to establish and uphold security controls, compliance procedures, and threat mitigation strategies that safeguard customer data while facilitating our rapid expansion.This position is perfectly suited for an individual who perceives security as a catalyst for business growth, rather than an impediment, and who is passionate about constructing practical, scalable security systems from the ground up. As our inaugural dedicated security hire, you will play a pivotal role in shaping our strategies for access control, vulnerability management, compliance, and incident response as we grow.

About RWA.xyzAt RWA.xyz, we are revolutionizing capital markets through tokenization, which enables the programmable, real-time settlement of financial assets using blockchain technology. The tokenization sector has experienced explosive growth, surpassing $30 billion and increasing by 300% annually, yet it still captures less than 0.01% of the $500 trillion global financial assets market.As the premier data platform for tokenized assets, RWA.xyz serves esteemed financial institutions including Goldman Sachs, J.P. Morgan, the U.S. Treasury, the IMF, and many others.Supported by top investors in both traditional finance and cryptocurrency, such as Archetype, Jump, and Solana, our team comprises experts from leading firms in Silicon Valley and Wall Street.

At Profound, our mission is to empower companies to harness and manage their AI presence effectively. As a Data Scientist, you will be instrumental in mapping the interactions between humans and AI, enabling brands to transform AI into their most formidable advocates. Your role will involve constructing predictive models, creating innovative sampling methodologies, and enhancing brand visibility in AI-centric search environments like ChatGPT and Perplexity. Your contributions will significantly influence how businesses define their footprint in the generative AI landscape.Key ResponsibilitiesDevelop and enhance predictive models to analyze and forecast AI-driven search patterns.Design advanced sampling and data classification techniques to elevate AI-driven brand insights.Utilize large language models (LLMs) and natural language processing (NLP) to derive valuable insights from unstructured text data.Manage large datasets, ensuring efficient querying, cleaning, and classification processes.Conduct A/B tests and implement experimental frameworks to evaluate impact.Collaborate with the founding team to translate complex data insights into actionable business strategies.Candidate ProfileMinimum of 3 years of experience in advanced analytics within technology, marketing, or advertising sectors.Proficient in Python, R, and SQL, with practical experience in querying and analyzing large datasets.Strong expertise in data sampling methods such as stratified sampling, bootstrapping, and extrapolation.Solid foundation in predictive modeling and the application of machine learning techniques to predict event frequency.In-depth knowledge of large language models, their constraints, and practical applications.Enthusiastic about staying updated on AI research, particularly in multi-modal AI and advancements in LLMs.Adaptable to a fast-paced, high-performance startup culture.Work EnvironmentThis role will be based in our Union Square, NYC office, designed for individuals who thrive on speed, iteration, and impactful contributions. We are open to providing visa sponsorship for eligible international candidates.The expected base salary range for this position is between $140,000 and $260,000. Profound offers a competitive total compensation package that includes base salary, equity, and a comprehensive array of benefits. The final compensation will be determined by factors such as experience, qualifications, and internal equity.

Join Profound in our quest to empower businesses to effectively manage their AI landscape. As an AI and ML Engineer, you will be instrumental in the design, development, and deployment of advanced Natural Language Processing (NLP) and Large Language Model (LLM) systems. Your work will enhance classification, ranking, clustering, topic discovery, and content generation capabilities. You will oversee complete workflows from data acquisition to deployment, collaborating with cross-functional teams to transform genuine user interactions into impactful product features and content that enhances visibility, engagement, and conversion rates.ResponsibilitiesDevelop and implement scalable NLP models for classification, ranking, clustering, topic extraction, and summarization.Design end-to-end LLM workflows for generating contextually relevant content, covering topic discovery, brief creation, outlines, drafts, revision cycles, and publish-ready assets.Create prompt and template libraries that align with brand voice for various formats, including blogs, landing pages, help documentation, and advertisements, ensuring evidence-based generation and citation retrieval.Establish evaluation frameworks for generated content, focusing on factual accuracy, coverage, tone, safety, and originality, using rubric-based evaluations and human-in-the-loop reviews.Monitor content performance across SEO and AEO metrics, engaging in experiments to enhance quality, reduce costs, and minimize latency.Transform extensive text datasets into production-ready features and signals that provide valuable product insights.Collaborate with engineering teams to instrument events, maintain data pipelines, and ensure high data quality and observability.Work closely with product, data, and go-to-market teams to define success metrics and conduct experiments that positively influence customer-facing KPIs.QualificationsDemonstrated experience in deploying machine learning systems at scale, particularly with large textual datasets.Practical experience in developing LLM content systems, including prompting, templating, retrieval-augmented generation, guardrails, and evaluation mechanisms.Proficiency in SQL and strong skills in Python alongside modern machine learning tools.In-depth understanding of machine learning quality metrics, capable of designing both offline and online evaluations and monitoring systems.Creative problem solver, capable of innovating when standard solutions do not meet requirements.Experience in cross-functional, high-performance teams, effectively contributing to diverse projects.

At Profound, we are dedicated to empowering businesses to understand and manage their AI presence effectively. We are seeking a passionate Technical Operations Engineer who will take charge of ensuring the reliability, security, and scalability of our identity, endpoint, and IT infrastructure systems. In this role, you will collaborate closely with our Engineering and Operations teams to evolve our IT support from a reactive approach to a proactive, automated system that adapts to our rapid growth.This position is perfect for someone who views IT operations as a strategic asset that accelerates engineering productivity rather than merely a support function. You will be located in our Union Square office, working alongside team members both in-person and remotely across locations in San Francisco, London, and Buenos Aires.

At Profound, we are dedicated to empowering businesses with the knowledge and control necessary to navigate their AI presence effectively. As an Account Manager, you will collaborate closely with our Sales, Product, and Engineering teams to meet customer requirements, boost platform adoption, and drive impactful results through strategic consultations, success planning, and dedicated support.In this role, you will act as a trusted advisor, guiding clients through the evolving landscape of AI and search technologies. You will share valuable insights, best practices, and actionable strategies that will elevate their AI visibility and help them make informed decisions using the Profound platform.Key ResponsibilitiesManage a portfolio of 40 to 50 accounts, ensuring renewal and expansion revenue goals are met.Work alongside the Engagement Management team to oversee the customer lifecycle from onboarding through to renewal, identifying opportunities to enhance product adoption and value.Gain a comprehensive understanding of each customer's objectives, workflows, and organizational structure to position Profound as an essential partner.Create organizational maps of customer deployments to strengthen relationships and maximize impact.Develop and maintain a pipeline of renewals, cross-sells, and upsells to achieve monthly and quarterly revenue targets.Lead commercial discussions, including executive business reviews and negotiations for multi-product renewals and upsells.Utilize CRM data and pipeline management best practices to forecast accurately, ensuring transparency and accountability.Collaborate across departments with Product, Engineering, and Engagement Managers to provide a seamless customer experience and uncover insights that promote adoption.

At Outtake, we are on a mission to empower trust in a digital-first world. With the rapid spread of impersonation, fraud, AI-driven scams, and identity abuse, we have developed a pioneering AI platform that proactively identifies, monitors, and dismantles impersonators, automating protection in mere hours rather than weeks.Our team, composed of former engineers from Palantir, Notion, and more, is committed to clarity, autonomy, and speed. Our ambitious goal is to establish ourselves as the trust layer of the modern internet, and we are building a lean, exceptionally talented team to achieve this.Your RoleIn this platform engineering position, you will:Shape Engineering Practices: Own the foundational systems that product engineers depend upon, designing and maintaining tools that enhance developer workflows and engineering velocity.Optimize for Influence: Focus on initiatives that amplify impact across the engineering organization, transforming repetitive solutions into robust platforms that enable swift, effective engineering practices.Build Resilient Foundations: Develop a strategic vision for engineering operations and translate that vision into practical code and systems while navigating dynamic environments.The TeamOur team embodies the belief that "The team you build is the company you build." — Vinod Khosla. Outtake’s team includes talented individuals from Palantir, Notion, Meta, Slack, and Datadog, all of whom have successfully shipped significant systems and learned from their experiences.We prioritize craftsmanship, collaboration, and accountability. Our work culture is demanding yet supportive, where team members pair on complex challenges, provide constructive feedback, and take ownership of projects from inception to outcome. Mentorship is intentional, fostering growth and development within the team. Driven individuals thrive here, not because they must, but because they are passionate about their work.

Profound is dedicated to empowering businesses to comprehend and manage their AI footprint. As AI-generated interactions increasingly influence brand discovery, trust, and selection, the significance of these experiences has never been greater.Design engineering plays a pivotal role in our development process at Profound. Founded by Dylan Babbs, a former design engineer, we uphold a high standard for craftsmanship, aesthetic appeal, and execution. In the role of Design Engineer, you will bridge design and engineering by delivering high-quality, meticulously crafted experiences across our product offerings and, occasionally, our marketing platforms.

The City of New York is hiring a Data Engineer to support essential data projects that inform city decisions and strengthen public services. This full-time role is based in New York City and centers on using data analytics to address challenges across city operations. Role overview As a Data Engineer, you will play a key part in initiatives that shape how the city uses information to make choices and deliver services. The work involves collaborating with a team focused on improving processes and outcomes for residents. What you will do Contribute to projects that gather, organize, and analyze data for city departments Help translate complex data into practical insights for decision-makers Work with colleagues to find solutions that enhance city operations and public services Location This position is based in New York City and requires full-time availability.

At Profound, we are dedicated to empowering businesses to comprehend and manage their AI presence effectively. As a Solutions Consultant, you will play a pivotal role at the intersection of sales, product, and customer success. Your primary focus will be to guide enterprise prospects and customers in recognizing the value of Profound’s innovative platform and its customization to meet their specific needs. You will take ownership of the technical and strategic aspects of the pre-sales process, translating customer objectives into scalable solutions that yield measurable results.Key ResponsibilitiesCollaborate closely with the Sales team to facilitate discovery calls, product demonstrations, and RFP responses, effectively communicating Profound’s technical strengths and strategic advantages to enterprise clients.Lead the design of customized solutions by aligning customer use cases with platform features, integrations, and data models to ensure optimal compatibility.Deliver impactful product demonstrations that illustrate how Profound enhances brand visibility across AI-driven platforms.Work in tandem with Product and Engineering teams to define the scope of custom implementations, integrations, and data requirements for strategic accounts.Develop and enhance proof-of-concept engagements to showcase ROI and expedite deal closures.Create and maintain comprehensive technical documentation, solution playbooks, and demo environments to support scalability and repeatability.Act as a trusted advisor to customers and internal teams, bridging technical insights with marketing and AI strategies.Collect market and customer feedback to inform product roadmap priorities and enable market entry strategies.

Join Our Team as a Data Platform EngineerFauna Robotics is seeking a talented Data Platform Engineer to help us construct the essential data systems that drive our robotics and machine learning initiatives. In this pivotal role, you will architect and implement the infrastructure necessary for the collection, storage, processing, and transformation of extensive data generated by our robots—including sensor telemetry, video streams, operational logs, and performance metrics.Collaboration is key, as you will work alongside our machine learning teams to ensure data is not only accessible but also well-structured and primed for training. Your contributions will empower research teams to innovate rapidly and allow operations teams to effectively monitor fleet performance as we scale.Key ResponsibilitiesDesign and develop scalable data pipelines for the ingestion and processing of robotics data (including sensor streams, video, telemetry, and logs).Maintain data storage solutions that are optimized for various data types and access patterns.Create tools and APIs that enable researchers and engineers to efficiently query and analyze large datasets.Develop real-time data processing systems for monitoring robot fleet performance.Construct and sustain data transformation pipelines that prepare robotics data for machine learning training.Work collaboratively with machine learning and robotics teams to ensure our data platforms evolve to meet their needs.Required Skills & QualificationsEducation: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.Work Experience: 3+ years in data engineering or data platform roles.Technical Expertise:Strong programming skills in Python and SQL.Experience with data processing frameworks (e.g., Spark, Flink, Kafka).Proficiency with data storage technologies (e.g., PostgreSQL, object storage).Experience with cloud data platforms (AWS, GCP).Strong understanding of distributed systems and data architecture principles.Preferred SkillsExperience with robotics or IoT data, including time-series, video, and point clouds.Familiarity with streaming architectures and real-time analytics.Knowledge of data governance best practices.