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Temporal Technologies

Runs durable workflows for software applications

Social Media Manager

Full-TimePosted on 10/14/2026
$105.6k - $167k/yr
Mid
Remote in USA
Remote
Social MediaSocial Media Strategy & Management

About the job

Requirements
  • Experience owning social media for a developer-facing, infrastructure, open-source, enterprise software, or technically sophisticated brand.
  • A portfolio of personally created and operated posts, campaigns, and social programs, with the ability to explain strategy, contribution, results, and lessons learned.
  • Strong writing and editorial judgment, including the ability to make technical ideas concise and compelling without losing accuracy or usefulness.
  • Technical fluency developed through software engineering, Developer Relations, technical marketing, developer content, or comparable hands-on work; ability to read technical documentation, understand code and architecture usefully, interview engineers, and recognize claims that need expert review.
  • Familiarity with software infrastructure, distributed systems, developer tools, cloud platforms, APIs, or adjacent technical areas, and the ability to learn the product and community.
  • Experience managing a multi-channel editorial calendar and production workflows, including owners, briefs, assets, deadlines, reviews, and approvals.
  • Ability to keep work moving across a collaborative organization by following up with contributors and surfacing risks before publishing moments are missed.
  • Strong knowledge of the norms, formats, and audience behavior of X, LinkedIn, YouTube, Reddit, and developer communities.
  • Experience using performance data to form hypotheses, run experiments, and change content or channel strategy.
  • Hands-on experience using AI tools in a professional content workflow, with judgment about where automation helps and where human judgment must remain in control.
  • Independent judgment to identify a promising story, define what it needs, assemble collaborators, and carry it through publication.
Responsibilities
  • Own Temporal’s day-to-day social media presence across primary brand channels, including channel priorities, audience strategy, publishing cadence, and growth goals.
  • Build and maintain a forward-looking editorial calendar covering product launches, Developer Relations programs, creative productions, events, community stories, company moments, and timely industry conversations.
  • Run the social production workflow from intake through publication by turning ideas into briefs, establishing deadlines and dependencies, coordinating drafts and creative assets, managing reviews and approvals, and keeping contributors accountable to the plan.
  • Write and publish platform-native posts in Temporal’s voice, adapting format, hook, technical depth, and call to action for each audience.
  • Work with Developer Relations to identify useful technical stories, package talks and educational material for social distribution, and turn community questions and conversations into content opportunities.
  • Partner with the Creative Producer on social-first videos, recurring series, carousels, launch campaigns, and other original formats, providing briefs informed by channel behavior and performance.
  • Develop launch and event plans covering pre-launch buildup, day-of publishing, partner and employee amplification, community engagement, and post-launch follow-through.
  • Participate credibly in developer conversations by monitoring replies, mentions, community discussions, and relevant industry news; respond when appropriate and route technical questions or sensitive issues to the right people.
  • Build repeatable systems for repurposing talks, livestreams, demos, blog posts, documentation, podcasts, events, and community contributions without making the resulting content generic or repetitive.
  • Use AI and automation to improve content intake, research, drafting, repurposing, technical and editorial quality assurance, scheduling, social listening, and reporting; document workflows and measure their effect on speed, consistency, or output.
  • Establish a practical social measurement framework and track reach, meaningful engagement, audience growth, referral traffic, video performance, share of voice, and other indicators tied to company goals.
  • Run regular performance reviews with the creative studio and its partners, explain results and lessons learned, and recommend changes to the calendar or production plan.
  • Maintain publishing and account-governance practices, including permissions, approval paths, accessibility, link tracking, platform requirements, and response protocols.
  • Make informed decisions about new channels and formats by testing with a clear hypothesis, evaluating results, and recommending where to invest or stop investing.
Desired Qualifications
  • Professional software engineering experience or experience building technical projects independently.
  • Experience creating automations or lightweight internal tools with APIs, agents, workflow platforms, scripts, or no-code systems.
  • Familiarity with Temporal, durable execution, distributed systems, microservices, or reliable AI applications.
  • Experience working closely with Developer Relations, engineering, product marketing, communications, or open-source community teams.
  • Basic video editing, design, motion, or visual-production skills, including making lightweight assets and providing useful creative feedback.
  • Experience supporting developer events, product launches, livestreams, or real-time social coverage.
  • Experience with social publishing, listening, analytics, and project-management platforms.

About the company

Temporal Technologies develops a workflow execution platform for software teams building applications that span services and run over long periods. Developers define business processes as code, separating coordination logic from tasks such as API calls, payment processing and data transfers. The platform persists execution state and coordinates retries after failures, helping applications resume work without teams writing their own recovery infrastructure. Temporal maintains an open-source engine and sells Temporal Cloud, its managed service, with charges for actions, stored workflow history and support. Founded in 2019, the company is headquartered in Bellevue, Washington.

Company Size

501-1,000

Company Stage

Series E

Total Funding

$1.2B

Headquarters

Bellevue, Washington

Founded

2019

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Simplify's Take

What believers are saying

  • Learning has a budget: Temporal advertises up to $1,800 annually for professional enrichment, prorated.
  • Paid adoption expanded in September 2026: Temporal reported over 4,300 paying customers, up 139% annually.
  • Revenue momentum strengthened in September 2026: Temporal reported annualized revenue run-rate growth exceeding 200% year over year.

What critics are saying

  • Engineering carries on-call duties: Temporal says rotations are standard for most Engineering roles and select support teams.
  • Code evolution needs care: incompatible workflow changes produce nondeterminism errors, requiring a versioning strategy.
  • Cloud reliability has limits: published service commitments are 99.9% normally and 99.99% with high availability.

What makes Temporal Technologies unique

  • Workflows stay interactive: Temporal supports Signals, Queries and Updates while executions are running.
  • Language choice is broad: official SDKs include Go, Java, TypeScript, Python, .NET and PHP.
  • Source licensing is permissive: Temporal Server is published under the MIT license.

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Benefits

  • Unlimited Paid Time Off
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Disability Insurance
  • 401(k) Retirement Plan
  • 401(k) Company Match
  • Phone/Internet Stipend
  • Wellness Program
  • Professional Development Budget
  • Conference Attendance Budget

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

-4%
TechDay
Oct 15th, 2026
Google Cloud & Temporal launch serverless workers.

Google Cloud & Temporal launch serverless workers. Fri, 16th Oct 2026 (Today) Google Cloud and Temporal have introduced Temporal Serverless Workers on Cloud Run, now in preview on Temporal Cloud. The offering lets developers run Temporal workers in Cloud Run worker pools that scale with activity in Temporal task queues. Temporal Cloud manages instance counts through the Cloud Run Admin API, while the worker code continues to run in the customer's own Google Cloud project, under the customer's service account and network settings. Temporal is an open-source execution platform for orchestrating distributed systems and AI agent workloads. Its workers poll for tasks rather than wait for incoming web requests, which has often pushed users towards Kubernetes clusters or virtual machines that stay provisioned even when queues are idle. Cloud Run worker pools are designed for background jobs without a public endpoint. In this setup, Temporal workers poll Temporal Cloud for tasks, and Temporal tracks queue conditions before adjusting worker pool size. Scaling model Temporal uses backlog-to-worker latency as its main scaling signal. When the delay between a task entering a queue and a worker picking it up crosses a threshold, the Temporal server notifies a worker controller, which adds capacity to the relevant worker pool. Scale-in is handled more cautiously. Temporal waits through a stabilisation period after the last time a task found no available worker, then reduces capacity in stages rather than cutting instance counts immediately. Instance counts remain within customer-defined minimum and maximum levels. If the first task after an idle period cannot tolerate startup delay, users can keep the minimum above zero. Otherwise, the platform can reduce the pool to zero when no work is pending. A central change is the removal of some workarounds previously needed to run Temporal workers on standard Cloud Run services. Those deployments typically required an HTTP listener, instance-based billing to keep CPU available between requests, and minimum instances to avoid scaling fully down. By contrast, worker pools have no public URL and do not require a load balancer. Google Cloud said they are priced at almost 40% less per vCPU-hour and GB-hour than instance-billed Cloud Run services, while also avoiding revision changes when only instance counts are adjusted. Version control The launch also addresses one of the more difficult aspects of operating Temporal workflows: updating worker code without disrupting running executions. Because Temporal workflows are stateful and deterministic, changing code mid-run can create non-determinism errors. To avoid that, the Cloud Run deployment model requires Temporal Worker Versioning. Each Worker Deployment Version runs as its own worker pool deployment, identified by a deployment name and build ID. Older versions can remain at zero instances until a workflow created on that version needs to run again. This allows workflows that started on one worker version to continue on that same version, while newer workflows are directed to a current or target deployment based on configuration. As older workflow executions drain away, the related worker pool can then be reduced to zero automatically. Two versioning behaviours are available. Under PINNED, a workflow stays on the build ID on which it started. Under AUTO_UPGRADE, a workflow moves to the new current or target Worker Deployment Version during rollout. The companies highlighted several use cases, including AI agents, long-running workflows and batch processing. In AI-related workloads, worker pools can scale up to handle bursts of model calls, embeddings or API activity, then scale down once queues empty. The configuration also supports attaching GPUs to workers, with those GPU-backed workers still able to scale to zero. For long-running workflows, the approach is intended to match uneven compute demand. A workflow may alternate between short tasks, long-running steps and periods of inactivity while waiting for external input from a person or another system. Batch jobs are another target. Since worker pools incur charges only while instances are running, organisations can leave a pool idle at zero between periodic runs such as billing cycles or media transcoding jobs, while using maximum instance limits to cap spend during peaks. Tampi Yellapragada, Product Manager at Google Cloud, wrote that the aim was to align Cloud Run worker pools with systems built around pull-based work rather than request-response patterns: "We built Cloud Run worker pools for exactly this kind of pull-based work: Your instances connect to a queue or stream, take the next item, and process it." He added: "Starting today, Temporal Cloud, which is the fully managed version of Temporal's open-source platform, can scale them for you."

Yahoo Finance
Oct 6th, 2026
Temporal acquires Oso team to build agent authorization after raising $550M

Temporal has acquired the team behind Oso to build agent authorisation into its execution platform. The move addresses a critical security challenge as AI agents gain access to business-critical systems and data. Research shows 96% of permissions go unused by human employees who exercise judgement, but agents lack this restraint. Temporal's platform already powers agents for OpenAI and Cursor, processing over 5 billion actions monthly across 500 namespaces at Netflix alone. The Oso team will help Temporal implement fine-grained access controls that survive the crashes and retries inherent in production environments. Graham Neray, Oso's founder, said agents' value and danger both stem from their system access, requiring precise developer controls. The announcement follows Temporal's September 2026 Series E funding round, which raised $550 million.

IntelPro
Sep 30th, 2026
Restate lands $20M as the need for durable infrastructure increases with AI agents.

Restate lands $20M as the need for durable infrastructure increases with AI agents. Instead of building its durable execution engine on top of an external database, the company developed its own storage, replication, and redundancy la When Stephan Ewen co-founded Restate in 2022 to provide durable workflow infrastructure, he couldn't have anticipated how valuable such an offering would become for managing AI agent processes. The Berlin-based startup had set out to build an execution engine that made multistep workflows resilient to crashes and network interruptions - something that made it a fit for the agentic era. "It never was built for agents in the beginning, but it just happened to be a perfect match for all these problems that agents surface," Ewen told TechCrunch. Ensuring durability is especially critical for agent workflows, which run longer and take inherently unpredictable paths compared to traditional software. "You need to make sure you track exactly what you do to make it reproducible and have a consistent outcome," Ewen said. The explosion of AI agents has provided a powerful tailwind for the startup. Over the last few months, Restate has closed multiple six- and seven-figure customer contracts, according to Ewen. That momentum has led Restate to secure a $20 million Series A led by Singular with participation from Redpoint Ventures and Capital One Ventures. The fresh capital will help Restate take on Temporal, the heavyweight in the durable infrastructure space. Temporal, which was founded in 2019, announced a $550 million Series E at a $12.55 billion valuation earlier this month. Despite being a much smaller provider of increasingly important technology, Restate has already managed to attract high-profile customers, including vibe-coding platform Replit. Instead of building its durable execution engine on top of an external database, the company developed its own storage, replication, and redundancy layers. This architecture allows Restate to be exceptionally fast and lightweight, Ewen said. Although many companies tend to use durability engines for so-called heavy-weight workflows, Restate is trying to change this with its more efficient and cost-effective system. Ewen said that in addition to providing durability for AI companies, the startup is serving Fortune 500 customers, including in the financial space. While Restate may be applied to different use cases, customers all have the same need - a way to ensure that if something fails mid-process, the system automatically finds a way to put itself back together, Ewen said. Prior to launching Restate, Ewen was a co-creator of a popular open source stream-processing framework, Apache Flink, and later became the CTO of Data Artisans, a company that was monetizing the project. Alibaba acquired Data Artisans in 2019 and rebranded it as Ververica, where Ewen continued to serve as CTO for three years. He co-founded Restate with former colleagues from Data Artisans and Ververica: Igal Shilman and Till Rohrmann. Ahmed Farghal, who was previously an engineer at Stripe and Meta, joined as the fourth co-founder at the Series A. The company intends to use its fresh capital to hire a go-to-market team, bring on more engineers, and expand its office in the San Francisco Bay Area to be closer to many of the current and potential customers. Nevertheless, Ewen insists that Restate's capabilities will soon be essential to companies outside of traditional tech companies. "If we fast-forward a couple of years, it's one of those tools, like a database, that I think pretty much any company will have a use case for, no matter their shape and size," he said.

Yahoo Finance
Sep 14th, 2026
Temporal raises $550M at $12.55B valuation as AI infrastructure demand surges

Temporal has raised $550 million in Series E funding at a $12.55 billion valuation, led by Lightspeed Venture Partners. Co-leads include Wellington Management, Growth Equity at Goldman Sachs Alternatives, and Tiger Global. The open-source platform, which powers AI applications, has seen significant growth in 2026. Its annualised revenue run rate recently surpassed $250 million, growing more than 200% year-over-year. Net dollar retention has exceeded 200% since February. Temporal Cloud processed 1.9 trillion actions in August, up more than 350% year-over-year. Open-source installs surpassed 43 million in August, up 134% since January 2026. The company now has more than 4,300 paying customers, including OpenAI, Snap, NVIDIA, Netflix, and JPMorgan Chase. Temporal provides infrastructure for reliable execution of critical applications, from payments to autonomous AI agents.

Temporal
Sep 14th, 2026
Temporal raises $550M at a $12.55B valuation as demand grows for reliable AI infrastructure

AI is raising the bar for reliability. See why Temporal's $550M Series E, backed by Lightspeed and others, is built to meet that demand.