Software Engineer - Generative AI

WRITER named a Market Shaper in the July 2026 gartner(r) Emerging Market Quadrant(TM) for AI Agents for Marketing - Startup Vendors. The recognition follows a year of platform expansion to empower marketing and revenue teams to reinvent the customer journey with agentic AI Writer Team | August 19, 2026 SAN FRANCISCO - August 19, 2026 - WRITER, the enterprise AI agent platform trusted by the world's leading Fortune 500 brands, today announced it has been recognized as a Market Shaper in the first-ever Gartner Emerging Market Quadrant(TM) for AI Agents for Marketing - Startup Vendors. The recognition follows a year of platform expansion to empower marketing and revenue teams to reinvent the customer journey with agents, including the launch of Palmyra X6, major upgrades to WRITER Agent, and enhanced brand and supervision capabilities that make agentic work on-brand, reliable, and cost-efficient at scale. Emerging Market Quadrants depict fast-evolving markets by using a two-dimensional matrix that evaluates providers based on their Potential for Market Disruption and their Potential to Execute. Market Shapers occupy the upper-right quadrant, which WRITER feels indicates relatively high potential across both dimensions. According to Gartner, "Market Shapers are ushering in a new era of industrialized, autonomous revenue engines, combining enterprise-grade governance, compliance and data security with frontier AI innovation, empowering marketing teams to move beyond pilots to scalable, autonomous agent orchestration as the new standard for modern GTM execution." In WRITER's view, the report captures a critical moment as marketing and revenue teams move beyond automating isolated tasks to reshape the customer journey itself - a shift that requires more than capable models or copilots that make individuals faster. WRITER believes it is at the forefront of this shift, combining powerful agent capabilities with an enterprise-grade platform that turns an organization's expertise into shared infrastructure the whole team can use, connects go-to-market work, and keeps outputs on-brand, compliant, and supervised as agentic AI scales. "Forward-thinking marketing leaders aren't asking for another AI tool that helps one person create one more asset, or makes one person a little faster," said May Habib, co-founder and CEO of WRITER. "They're now looking at the whole customer journey, from the first moment someone discovers their brand through years of relationship management, and asking which partner can help them completely reinvent it. While the rest of the market takes a generic approach to AI, our deep focus on marketing and revenue, coupled with the product foundation we've spent the last five years building, set us up to deliver on that dream for the world's biggest brands." Last week, WRITER released Palmyra X6 and major upgrades to WRITER Agent designed to make complex, multi-step marketing and revenue workflows more cost-efficient and reliable from start to finish. These releases follow major features shipped earlier this year: Playbooks and Skills that make institutional knowledge and repeatable processes available across teams; WRITER's brand suite for voice, terminology, and style; prebuilt connectors to the systems and tools marketing and revenue teams use every day, like Microsoft 365, Salesforce, Snowflake, Adobe, and Google Workspace; and governance controls, including granular permissions, audit trails, and compliance guardrails, that give enterprises the control they need as adoption grows. With WRITER, enterprise teams at Ally Financial, AstraZeneca, Cigna, Comcast, Franklin Templeton, Keurig Dr Pepper, Marriott, Mars, Uber, and Vanguard are enforcing brand and compliance requirements at scale, orchestrating end-to-end campaigns, personalizing customer and account experiences, and managing high-volume relationship workflows in ways that weren't possible before, without losing what makes their brand distinct. Readers can access the Gartner report here. Gartner Disclaimer: Gartner, Emerging Market Quadrant(TM) for AI Agents for Marketing - Startup Vendors, Lizzy Foo Kune, Nicole Greene, Adam Sarner, 7 July 2026. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. About WRITER: WRITER is the enterprise AI agent platform trusted by Fortune 500 companies globally. Built for high-stakes enterprise environments, WRITER gives marketing, sales, and business teams powerful AI teammates that can plan, execute, and scale on-brand work across company systems, with rich organizational context encoded directly in every output. WRITER offers IT teams full governance and granular control, while business teams gain the intuitive tools and support to drive efficiency, capacity, and revenue growth at unprecedented speed and scale. Founded in 2020, WRITER is delivering unmatched ROI for hundreds of customers and is backed by investors including Insight Partners, ICONIQ, Radical Ventures, Premji Invest, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Accenture, Citi Ventures, IBM Ventures, WndrCo, and others. Learn more at WRITER.com. Media Contact: [email protected]

WRITER makes Agentic AI economically sustainable at enterprise scale with Palmyra X6 release and major harness upgrades. New releases bring powerful agents to marketing and revenue workflows, with the cost-efficiency, reliability, and control enterprises need as adoption grows. WRITER Team | August 14, 2026 SAN FRANCISCO - August 13, 2026 - WRITER, the enterprise AI agent platform trusted by the world's leading Fortune 500 brands, today released Palmyra X6, its new flagship model that brings frontier-competitive performance to the critical workflows marketing and revenue teams run every day work, at a fraction of the cost of leading models; major upgrades to the WRITER Agent harness that make complex, multi-step workflows more cost-efficient and reliable from start to finish; and new governance tools that help leaders control token spend and scale the strongest use cases across the business. Together, the upgrades allow marketing and revenue teams to confidently scale their most ambitious agentic workflows in production without token costs holding them back. Agents have moved token economics to the center of the enterprise AI conversation. As agents move into production, cost per task can jump by orders of magnitude compared to traditional chat experiences. Agents are now reasoning through complex, multi-step workflows, calling tools, and executing longer-running work, with every action consuming more tokens, taking more time, and creating another point where the workflow can derail. WRITER Agent now operates at an average 52% lower cost with 48% improvement in speed and 10% improvement in quality when paired with Palmyra X6 - delivering top tier performance at a fraction of the cost. "The enterprise wants token consumption to explode - it means adoption is happening - but they need costs to flatten," said Waseem AlShikh, CTO and Co-Founder of WRITER. "For the past five years, WRITER has focused on delivering not just frontier-level model performance, but the efficiency, reliability, and governance that highly regulated enterprises need to confidently put agents into production. With Palmyra X6 and major harness improvements to WRITER Agent, we're delivering a step change in both agent capabilities and cost that fundamentally changes how broadly and boldly our customers can deploy agentic AI." Palmyra X6: Cost-efficient model, built for the enterprise. Palmyra X6 is WRITER's new flagship model, engineered to keep cost and time per unit of work low, while delivering frontier-competitive performance. Built for the enterprise, the model was designed to run inside the WRITER Agent harness and excels at marketing and revenue workflows. To develop X6 for the specific demands of enterprise work, WRITER created new internal evaluations based on production workflows its customers actually run. Unlike public benchmarks, which measure general model performance, WRITER's evaluation tests the capabilities enterprise teams rely on every day, including whether the model stays grounded in company knowledge, understands context, follows guidelines and guardrails, uses enterprise tools and remains coherent across long-running tasks. The evaluation measures nine capabilities, including grounding and retrieval, tool use, content generation, sub-agent delegation and brand voice. X6 was post-trained on top of GLM 5.2, the strongest available open-weight model, to excel across those capabilities inside WRITER Agent. X6 delivered the best combination of capability and cost among the models WRITER tested, scoring an average of 0.87 (out of 1.00) across all nine evaluations at $2 per million input tokens and $8 per million output tokens, ahead of Claude Opus 4.8 (0.86 at $15/$75 per million), Claude Sonnet 4.6 (0.85 at $3/$15), GPT-5.5 (0.80 at $5/$15) and Gemini 3.1 (0.77 at $2.50/$10). X6 also tested as the least politically biased model WRITER evaluated, a critical attribute for marketing and revenue teams that need confidence in the content they generate and publish under their company's brand. X6 completes tasks in 26 seconds on average, generates 82 tokens per second, and can work unattended toward a single goal for up to eight hours, sustaining coherent reasoning across long, multi-stage objectives without drifting off task. WRITER Agent: Faster, more reliable agent execution for complex work. The WRITER Agent harness has been rebuilt to execute complex, multi-step work with greater speed and reliability while using fewer tokens, regardless of the underlying model. On the backend, WRITER Agent now dynamically adapts reasoning based on the task at hand, answering simple questions directly or developing structured plans for more complex work. It can also execute high-volume work faster by running tasks in batches or delegating to sub-agents, allowing agents to complete longer, more complex workflows without unnecessary steps or repeated context. New research from WRITER, The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI, shows these harness upgrades improve performance regardless of the model powering the task. Across all WRITER and third-party models tested, WRITER Agent completed tasks 44% faster, at a 41% lower cost per task on average, while maintaining quality. Paired with Palmyra X6, WRITER Agent delivered the strongest combined performance across cost, quality, speed, and reliability. With today's release, WRITER's multi-model support now extends to WRITER Agent, giving teams a selection of popular models to work with. Admins can enable models from providers like Anthropic and OpenAI, letting users across their managed teams choose a model at the start of a session. Specialized models can also be selected for specific capabilities, such as image generation. And beyond WRITER's own catalog, admins can bring their own models from cloud providers including Microsoft Azure, AWS Bedrock, and NVIDIA NIM. "The conversation in marketing has shifted from exploring AI use cases to discussing what it costs to run," said Roger Beharry Lall, Research Director: Advertising Technologies and SMB Marketing Applications, IDC. "Agentic workflows are one area where costs are becoming a major concern. Every extra step and tool call adds tokens, and at scale that adds up fast. In fact, IDC research finds that three-quarters of organizations worldwide now point to excessive AI spending as a major risk to their plans. Training, governance, and workflow design remain important, but what matters now is efficient agentic execution of the work marketers do every day, at a price point that lets teams run agents broadly instead of saving them for a handful of high-value tasks." New governance tools to control spend and scale what works. WRITER also launched a major upgrade to reporting and governance controls that gives leaders a clear view into the agentic workflows being used across their teams. As more employees build and share Playbooks and Skills - repeatable agent workflows and instructions - leaders can see which use cases are seeing the highest adoption, identify and scale the best Playbooks and Skills across teams, and stay ahead of the biggest drivers of token spend. New capabilities include: * A centralized view into how WRITER Agent is being used across the business, easily filtered and compared period over period so admins can understand adoption, performance, and spend. * Dedicated analytics and governance for Playbooks and Skills, enabling admins to see usage data, manage status and ownership, and monitor performance and costs at the individual workflow or skill level. * Consumption controls with alerts and limits to help admins manage spend across teams. With a clearer view into adoption, performance, and spend, leaders can invest in the winning workflows and scale the ways of working that deliver the strongest results across the business. "Governance gave us the confidence to scale AI past a few pilots," said Robyn Murphy, Chief of Staff & Director, Marketing Operations, H&R Block. "Now, with Palmyra X6 bringing the cost per task down, we will have more confidence to take on high-volume work that was never worth automating before. And with the tools to look at usage, we can better understand which of those workflows will drive transformation." About WRITER. WRITER is the enterprise AI agent platform trusted by Fortune 500 companies globally. Built for high-stakes enterprise environments, WRITER gives marketing, sales, and business teams powerful AI teammates that can plan, execute, and scale on-brand work across company systems, with rich organizational context encoded directly in every output. WRITER offers IT teams full governance and granular control, while business teams gain the intuitive tools and support to drive efficiency, capacity, and revenue growth at unprecedented speed and scale. Founded in 2020, WRITER is delivering unmatched ROI for hundreds of customers and is backed by investors including Insight Partners, ICONIQ, Radical Ventures, Premji Invest, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Accenture, Citi Ventures, IBM Ventures, WndrCo, and others. Media Contact: [email protected]

AI roundup - august 12, 2026. AI News Machine Learning Enterprise AI Model Releases Writer launches new AI Model aimed at reducing token costs. Writer has introduced a new AI model built as a post-training variation on Z.ai's open source model GLM-5.2, according to TechCrunch. Alongside the model, Writer released an upgraded harness designed to help contain token costs for enterprise deployments. Writer says the new system is intended to provide deployment-ready capabilities at a significantly lower price point than comparable offerings. The move reflects a broader industry push to make production-grade AI more economically accessible for businesses operating at scale. Databricks closes $5B funding round at $190B valuation. Databricks has closed a $5 billion funding round at a $190 billion valuation, TechCrunch reports. CEO Ali Ghodsi said the company originally intended to raise $1 billion, but investor demand was strong enough that the final figure came in far higher - with some investors reportedly pushing for as much as $15 billion. Ghodsi noted to TechCrunch that AI infrastructure remains expensive, and the additional capital reflects the level of confidence investors are placing in the data and AI platform space. The round marks one of the larger private funding events in recent AI industry history. OpenAI unveils ultrafast mode for GPT-5.6 Sol. OpenAI has launched a preview of a new "Ultrafast" mode for GPT-5.6 Sol, its latest flagship model, according to TechCrunch. The company says the mode enables the model to operate at approximately 14 times its standard speed. OpenAI is positioning the capability as part of an effort to attract enterprise users who require lower latency at scale. The preview release suggests the feature is still in early availability, with a broader rollout likely to follow based on feedback from enterprise partners and developers. IBM and OpenAI Form Enterprise AI Partnership. IBM and OpenAI have announced a partnership aimed at accelerating enterprise AI adoption, TechCrunch reports. As part of the agreement, IBM plans to train and certify tens of thousands of its consultants on OpenAI's technologies. The partnership is framed as an effort to bolster IBM's enterprise AI push by combining its large global consulting footprint with OpenAI's model capabilities. The deal signals continued momentum in enterprise-focused AI service delivery, as major technology companies look to build out professional services ecosystems around leading AI platforms. These developments collectively reflect a busy period across the AI industry, with activity spanning model efficiency, large-scale infrastructure investment, speed improvements to frontier models, and expanding enterprise partnerships.