P

Precisely

Builds software to integrate and manage enterprise data

Associate Software Engineer - Python AI

Full-Time
No salary listed
Junior
Bachelor's
Remote in USA
Remote
Software EngineeringAI Application Engineering

About the job

Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or similar.
  • At least 1 year of experience building enterprise-level software.
  • Good knowledge of Python programming.
  • Knowledge of object-oriented programming and REST APIs.
  • Knowledge of large language models and AI coding harnesses such as Claude Code or GitHub Copilot.
  • Strong problem-solving and communication skills.
  • Willingness to take initiative and accept feedback.
  • Ability to work effectively in a team and follow instructions.
Responsibilities
  • Assist in designing, developing, and maintaining Python-based artificial intelligence applications.
  • Work with team members to understand requirements and implement features.
  • Learn to use Pydantic for defining and validating data models.
  • Write clean, well-documented code with guidance.
  • Participate in code reviews and incorporate feedback.
  • Help troubleshoot and resolve basic technical issues.
  • Support testing and continuous integration and continuous delivery processes.
Desired Qualifications
  • Experience with TypeScript, JavaScript, or Node.js.
  • Exposure to version control with Git and testing concepts.
  • Exposure to backend development or data engineering concepts.
  • Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
  • Knowledge of the Python ecosystem, frameworks, and libraries.

About the company

Precisely develops software that helps organizations connect, check, govern, and enrich enterprise data. Its Data Integrity Suite combines integration pipelines, data quality controls, cataloging, and location services so teams can prepare records for reporting, analytics, and AI applications. Customers use its cloud services and installed software across existing business systems, with additional products for communications and data automation. It earns revenue from software and data licenses, subscriptions, support, and professional services. Founded in 1968 as Whitlow Computer Systems and later known as Syncsort, Precisely is headquartered in Burlington, Massachusetts.

Company Size

1,001-5,000

Company Stage

Growth Equity (Venture Capital)

Total Funding

$8.5M

Headquarters

Burlington, Massachusetts

Founded

1968

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Simplify's Take

What believers are saying

  • Customer expansion reaches communications: Michigan Farm Bureau selected RapidCX in July 2026 to unify communications for over one million users.
  • Enterprise reach supports distribution: Precisely reports over 12,000 customers across more than 100 countries.
  • Remote work is an established option: Precisely describes a virtual workforce and remote first culture across its global offices.

What critics are saying

  • Legacy customers face migration work: Precisely requires Studio with Connect users to transition into subscription only Studio Administrator.
  • London sales work requires office attendance: Precisely lists three weekly office days for its Associate Business Development Representative role.
  • US reliability engineers face irregular hours: Precisely requires rotating on call coverage after hours, on weekends, and on holidays.

What makes Precisely unique

  • Legacy systems enter ServiceNow workflows: Ironstream brings IBM mainframe and IBM i operational data into discovery and service mapping.
  • Addresses link to richer records: PreciselyID connects geocoded locations with more than 400 enrichment datasets.
  • Business users update SAP from spreadsheets: Automate Studio validates records and posts transactions through Google Sheets.

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Benefits

Remote Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

11%

1 year growth

11%

2 year growth

11%
PR Newswire
Oct 14th, 2026
Precisely launches MCP server linking AI assistants to SAP automation with OData support

Precisely, a data management company, has launched the Precisely Automate MCP Server and added native OData support to Precisely Automate. The release lets AI assistants and applications work with SAP automation workflows through a standards-based interface. The server is built on the open Model Context Protocol (MCP). It exposes existing Automate Studio scripts and Evolve workflows as tools that AI platforms can call. One configuration works across Claude, ChatGPT, Microsoft Copilot, and other platforms that adopt the protocol. Business users can create, update, or retrieve SAP information in natural language, while existing security, compliance, and governance controls stay in place. OData is SAP's preferred API standard. Its support helps companies move away from legacy scripting and align with SAP's Clean Core strategy.

Jasnita Telekomindo
Oct 8th, 2026
How Google Sheets integration transforms SAP data automation for enterprises.

How Google Sheets integration transforms SAP data automation for enterprises. Discover how integrating Google Sheets with SAP automation tools accelerates data management, boosting efficiency and reducing manual errors in enterprises. Jasnita Telekomindo Editorial Team Managing SAP data traditionally involves complex interfaces and rigid workflows, often relying heavily on desktop Excel files for batch updates or validations. However, the recent extension of Precisely's Automate Studio to support Google Sheets marks a pivotal shift in how enterprises can streamline SAP data operations. By enabling integrations with cloud-native tools like Google Sheets, organizations can leverage collaborative, real-time spreadsheet environments without sacrificing the robustness necessary for SAP mass data processing. This innovation paves the way for faster, more transparent, and flexible enterprise workflows. SAP's powerful but complex user interfaces often become bottlenecks when business teams need to perform bulk data changes or validations. Historically, Excel-based templates have been the fallback for mass updates, but this approach has drawbacks: * Lack of real-time collaboration: Excel files are static and require manual version control. * Dependency on desktop software: Limits accessibility across devices and locations. * Error-prone manual input: Increases the risk of costly data mistakes. These challenges slow down business processes, impair data accuracy, and elevate operational risk. Adopting Google Sheets as the front-end for SAP data automation brings key advantages: * Cloud-based collaboration: Multiple users can update and validate data simultaneously, enhancing transparency and teamwork. * Accessibility and mobility: Team members access sheets from any device or location, accelerating decision-making. * Templates for mass changes: Pre-designed Google Sheets templates simplify complex SAP transactions like posting and validation. * Reduced SAP interface load: Automate Studio handles SAP backend operations, so users need not navigate time-consuming SAP screens. This integration turns SAP data management from a specialist IT task into a streamlined, user-friendly process accessible to functional staff. * Mass Product Data Updates: Marketing teams can collaboratively update product descriptions or pricing across hundreds of SKUs without waiting for IT scheduling. * Transaction Posting: Finance departments can validate and post multiple financial transactions efficiently through standardized sheets. * Data Validation and Error Correction: Operational teams identify and correct inconsistencies in real-time, improving overall data quality. Studies show digital spreadsheet collaboration paired with backend automation delivers measurable benefits: * 30% reduction in data processing time, thanks to real-time multi-user access compared to Excel workflows. * 25% fewer manual errors in SAP data entries, attributable to validated templates and automation. * 40% improvement in cross-department workflow efficiency, due to enhanced accessibility and ease of collaboration. These figures highlight the substantial operational uplift enterprises can achieve. Enterprises looking to modernize their contact centers and communication platforms can find synergy in adopting Jasnita's solutions alongside SAP automation: * Jasconnect provides cloud-based phone and SMS integration, ensuring business communications seamlessly align with operational backends. * Toschat omnichannel enables unified messaging and AI chatbot support, enhancing customer and internal stakeholder engagement. * TORO AI can complement automated SAP data workflows by delivering AI coaching and agent assistance, improving workforce productivity. Together, these solutions form a robust digital transformation stack that can handle data, communications, and customer experiences holistically. The extension of Automate Studio to Google Sheets exemplifies a broader trend towards cloud-first, collaborative enterprise tools. Leveraging cloud spreadsheets combined with automation platforms reduces reliance on legacy desktop software and siloed IT operations, driving initiatives like: * Decentralized decision-making: Empowering frontline users with direct access to data workflows. * Real-time analytics and insights: Integrating with CX platforms and CRMs to act swiftly on validated data. * AI-powered self-service: Automating routine data manipulations and validations for faster outcomes. Integrating Google Sheets with SAP automation tools injects agility, scalability, and collaboration into enterprise data management practices. This innovation not only enhances efficiency but also reduces errors and operational risks. Enterprises committed to digital transformation should evaluate how cloud-native spreadsheet automation can complement their existing ERP and contact center ecosystems. Solutions like Precisely Automate Studio's extension and Jasnita's cloud communication platforms represent significant steps towards modern, integrated business operations. By focusing on accessible, user-friendly interfaces supported by powerful automation engines, IT leadership can drive meaningful improvements in productivity and data quality across their organizations. Branded, ready-to-share infographics for your marketing team Enterprise Technology Discover how integrating Google Sheets with SAP automation tools accelerates data management, boosting efficiency and reducing manual errors in enterprises. Average Reduction in Data Processing Time Using Cloud Spreadsheets jasnita.com IDX Listed JAST

PR Newswire
Oct 6th, 2026
Precisely launches AI Studio with ready-made apps to accelerate enterprise AI development

Precisely has launched AI Studio, a collection of ready-made applications, agents, and skills designed to accelerate enterprise AI development. The offering helps builders create AI solutions compatible with tools including Claude, Microsoft Copilot, and ChatGPT, working with the Precisely Platform's data quality and enrichment capabilities. According to McKinsey's State of AI report, nearly two-thirds of organisations remain in experimental or pilot mode, unable to scale AI across their enterprises. AI Studio addresses this challenge by providing working examples that demonstrate how to prepare data for AI applications. The platform includes assets for geocoding addresses, launching governance workflows, and configuring data replication pipelines. Partner Korem noted that development time has reduced from months to days using the natural language interface. AI Studio is available immediately with a free trial for new users.

SiliconANGLE Media
Oct 6th, 2026
Precisely launches unified AI data platform and AI Studio library of agents and apps.

Precisely launches unified AI data platform and AI Studio library of agents and apps. Data management software company Precisely Software Inc. today introduced the Precisely Platform, a unified system designed to make enterprise data ready for artificial intelligence. Developers also get Precisely AI Studio, a library of ready-made AI agents and apps. Precisely is pitching the platform as an answer to the "patchwork of point solutions" enterprises use to manage data held in cloud lakehouses as well as older mainframe and SAP systems. When agents start acting on that data by themselves, a mistake a person might once have caught can become an automated decision before anyone steps in. Stewart Bond, an International Data Corp. vice president who tracks data intelligence and integration software, said many organizations "continue to struggle with fragmented data environments" as pressure builds to put AI to work. He described the industry as shifting toward "unified data intelligence platforms." On the Precisely Platform, nothing has to be migrated into a single ecosystem first, since data is managed "where it lives," as Precisely put it. Every tool on it, master data management included, draws on one metadata and semantic layer. A rule or policy defined once applies across all of them. Work that Precisely said "previously required specialized expertise," such as writing data quality rules and matching records, is now handled by AI built into the platform. Every data asset can also carry quality and governance scores, which Precisely wants executives to treat as evidence of what is fit for AI and where risk remains. "Agents don't stop to question the data they're given," said Matt Waxman, chief product officer at Precisely. "They act on it at scale, far faster than people can catch and correct errors." Precisely calls location intelligence and built-in data enrichment the platform's "distinctive capabilities." Its enrichment data arrives "pre-linked" with location and business attributes for more than 250 countries and territories. The company describes the result as "a connected, machine-readable model of the world" for AI to work from. Gio, the platform's AI assistant, is one way in. Application programming interfaces, software development kits and a command-line interface let teams use the platform from tools they already run. New Model Context Protocol servers, also out today, open the platform and a number of existing Precisely products to assistants such as Claude, Microsoft Copilot and ChatGPT. AI Studio is the part of today's news aimed at developers. Its assets work with all three of those assistants, and Precisely says users can start prototyping within minutes. Several show how to improve data with platform features such as address geocoding and data replication pipelines. The collection also includes apps and agents that build on that data, such as a property analyzer and a real estate intelligence agent. Waxman said a convincing AI demo is the easy part compared with "building AI you can trust at scale." At Precisely partner Korem Inc., a Canadian geospatial firm, time to value on customer projects "used to be calculated in months," according to Jimmy Duchesne, director of solutions innovation and presales. He said it can now be measured in days. The Precisely Platform is in preview and is due to reach general availability in early 2027. AI Studio is available now, and new users can sign up for a free trial. Precisely, which went by the name Syncsort until 2020, will walk through both launches at a virtual event Thursday. Image: Precisely. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from its Marketplace portal page and links: https://siliconangle.com/aws-marketplace/. About SiliconANGLE Media. SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

Precisely
Oct 6th, 2026
Precisely launches AI Studio to jumpstart enterprise AI development.

Precisely launches AI Studio to jumpstart enterprise AI development. New offering gives builders access to ready-made AI apps, agents, and skills that help accelerate AI development on a trusted data foundation * October 06, 2026 Precisely, a leader in unified data management for AI-ready data, today announced the availability of Precisely AI Studio, a curated collection of ready-made apps, agents, and skills that help builders to develop AI solutions. The assets in AI Studio work with AI tools, including Claude, Microsoft Copilot, and ChatGPT. Builders can avoid starting from scratch, with working examples that show how to make data AI-ready, using capabilities such as data quality and enrichment, available in the Precisely Platform. Precisely AI Studio is available immediately. New users can sign up for a free trial. Enterprise AI has reached an inflection point. According to McKinsey's State of AI report, nearly two-thirds of organizations are still experimenting or in pilot mode, unable to scale AI across the enterprise. The barrier isn't AI; it is the trustworthiness of the data AI runs on. AI Studio helps data teams, engineers, and developers accelerate the creation of agents, skills, AI workflows, and AI-powered applications on data that has been made more visible, reliable, accountable, and complete using the Precisely Platform. "Building a compelling AI demo is one thing. Building AI you can trust at scale is much harder," said Matt Waxman, Chief Product Officer, Precisely. "We took our decades of experience solving the most complex data challenges and populated AI Studio with the apps, agents, and skills that lower the barrier to building AI applications on top of AI-ready data. It's about shortening the path from experimentation to production without compromising on results." The growing collection of assets in Precisely AI Studio will continue to expand over time, helping builders begin prototyping within minutes. Some assets help developers improve their data using Precisely Platform capabilities such as geocoding addresses, launching governance workflows, configuring data replication pipelines, and more. Other assets build on that data, such as the property analyzer app or the real estate intelligence agent. "As a deeply technical Precisely partner, Korem has historically invested a significant amount of effort in building proof of value examples for our customers. Even more effort has been invested in creating Precisely-based solutions that are deployed in their environments. Being able to interact with data and engines from Precisely with natural language, and easily build GeoAgentic solutions, has been a game changer. Time to value used to be calculated in months. Now, it can be calculated in days." Jimmy Duchesne, Director, Solutions Innovation & Presales, Korem. Many AI projects stall because builders lack a starting point, spending considerable time figuring out what's even possible before they build anything real. AI Studio helps close that gap, giving builders a starting point so they can focus on solving real problems, not figuring out where to begin. Precisely AI Studio is available now. To explore what's available sign up for a free trial. To learn more about the Precisely Platform, visit www.precisely.com/platform or watch the on-demand recording of "Precisely Now: Where Data Meets AI." About Precisely. Precisely is a leader in unified data management, delivering the AI-ready data that enterprises need to scale AI with confidence. The Precisely Platform brings a broad set of data management capabilities together on a single metadata and semantic foundation: connecting data integration, quality, governance, location intelligence, master data management, and customer communications. The Platform also features built-in data enrichment and works across the full data estate, including traditional business systems, modern cloud platforms, and the AI systems layered on top. This enables organizations to manage data where it lives rather than requiring migration to a single data ecosystem. More than 12,000 organizations in over 100 countries, including 92% of the Fortune 500, rely on Precisely. Learn more at www.precisely.com. (C) 2026 Precisely Software Incorporated and/or its affiliates. All rights reserved. Information herein is proprietary to Precisely Software Incorporated and/or its licensors, does not represent or imply an invitation or offer, and may not be used for competitive analysis, building a competitive product, or otherwise reproduced without written permission. References to artificial intelligence, machine learning, or generative AI describe current or planned capabilities only and are not a commitment to regional or future availability, functionality, or performance. AI features are probabilistic by nature; outputs may be inaccurate, incomplete, or unsuitable for a particular purpose and should be reviewed by a qualified person before being relied upon. AI features and their outputs are provided AS-IS, without representation or warranty of any kind, including as to accuracy, completeness, non-infringement, or fitness for a particular purpose. Customers are solely responsible for their use of AI features and outputs, for the data they submit, for any decision made in reliance on an output, and for their own compliance with all laws and regulations applicable to their use of artificial intelligence, including data protection and industry-specific requirements and any required consents, notices, disclosures, or approvals. Nothing herein constitutes legal, regulatory, financial, medical, or other professional advice. This release contains forward-looking statements regarding Precisely's artificial intelligence capabilities, planned features, and anticipated benefits. Forward-looking statements are based on current expectations and assumptions, are not guarantees of future performance, and are subject to risks and uncertainties that could cause actual results to differ materially. Precisely undertakes no obligation to update any forward-looking statement, whether as a result of new information, future events, or otherwise. "Precisely" is a registered trademark. All other trademarks are the property of their respective owners.