O

Osmo

Digitizes and reproduces scents via Osmograph

New Product Introduction Manager

Full-Time
$113k - $150k/yr+ Equity
Senior
Elizabeth, NJ, USA
In Person
Operations & LogisticsProduction Planning & Scheduling
No H1B Sponsorship

About the job

Requirements
  • At least 6 years of experience across customer success, operations, manufacturing coordination, supply chain, or project management.
  • Experience supporting customer-facing programs in manufacturing, consumer products, fragrance, or industrial environments.
  • Tenacity in tracking and resolving open threads across procurement, production, and customer communication.
  • Stakeholder management skills and judgment about when to escalate and when to resolve issues.
  • Interest in understanding fragrance readiness and production sequencing well enough to make operational decisions.
  • Organizational and project management skills to manage multiple customer programs simultaneously.
Responsibilities
  • Serve as the primary operational contact for assigned customers after launch, building trust through proactive updates.
  • Track material availability, fragrance readiness, packaging readiness, and production milestones, and flag constraints before they cause delays.
  • Keep manufacturing priorities and deployment schedules aligned with customer commitments.
  • Manage customer orders from operational handoff through fulfillment, including schedule changes, order modifications, and status reporting.
  • Coordinate across Manufacturing, Procurement, Product Development, Quality, and Turnkey Delivery, holding teams accountable to timelines and service-level commitments.
  • Run execution reviews and escalation discussions when project milestones or customer expectations are at risk.
  • Identify operational risks before they affect customer commitments, and build and coordinate mitigation plans.
  • Coordinate readiness activities tied to oil shipments as part of the manufacturing handoff.
  • Support new tools, reporting, and workflows that improve visibility and scalability as customer volume grows.
Desired Qualifications
  • Experience supporting customer programs in a contract manufacturing environment.
  • Familiarity with production planning, order fulfillment, or Sales and Operations Planning (S&OP) processes.
  • Hands-on experience with enterprise resource planning (ERP), customer relationship management (CRM), and project management systems.
  • Experience supporting product launches or customer deployment programs.

About the company

Osmo ai digitizes the sense of smell. It develops the Osmograph technology to capture odor molecules as digital signals, map them into structured representations, and then write (reproduce) digital scents. This enables licensing of the technology to fragrance and healthcare companies to create personalized scent experiences and scent-based applications. By turning smell into data and back into olfactory experiences, Osmo aims to bridge AI and olfactory science to expand markets for fragrances, therapeutics, and wellness tools.

Company Size

51-200

Company Stage

Series B

Total Funding

$133.5M

Headquarters

Cambridge, Massachusetts

Founded

2023

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Simplify's Take

What believers are saying

  • Osmo raised $70 million in February 2026, reaching $130 million total capital.
  • The June 2026 auction sells 10 proprietary molecules, validating commercial appetite.
  • January 2026 skin-irritation studies cut 19,134 rabbit tests, strengthening regulatory and brand appeal.

What critics are saying

  • Givaudan and IFF already dominate fragrance distribution, pricing, and customer relationships.
  • Osmo still depends on unproven demand for AI-designed molecules beyond early adopters.
  • If patents, regulations, or safety failures stall commercialization, Osmo becomes a costly lab-only story.

What makes Osmo unique

  • Osmo combines Olfactory Intelligence with manufacturing, creating scent molecules and finished fragrances.
  • In 2025, Osmo filed more fragrance ingredient patents than all industry peers combined.
  • Its 2026 Elizabeth facility anchors vertically integrated scent development, production, bottling, and packaging.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

5%
The Guardian
Oct 6th, 2026
Remaking scents: could fragrance tech help take pressure off endangered plants?

Remaking scents: could fragrance tech help take pressure off endangered plants? Firms working on reproducing compounds without need for repeated harvesting but conservationists are sceptical Many of the world's most expensive perfumes begin with a wounded tree. When some Aquilaria trees are damaged, they produce a dark, fragrant resin that becomes agarwood, or oudh - an ingredient so valuable that wild trees have been illegally felled in its pursuit. The result has devastated wild Aquilaria populations. But what if perfumers could create the smell without cutting down the tree? With the help of AI, scientists are learning to predict how molecules that have never been made will smell, reconstructing scent-producing genes from flowers believed to be extinct. Others have collected microbes from clouds and used them as a starting point for new perfumes. Now scientists and biotechnology companies say advances could soon allow the fragrance industry to reproduce scents and compounds from endangered plants without repeatedly harvesting them. "Being able to recreate the scent of an endangered plant would be a huge win for both the environment but also the brands," said Alex Wiltschko, the founder of Osmo, a Google Brain spin-off that has raised $130m to develop artificial intelligence capable of predicting and recreating smells. Osmo has recreated the scent of a rare tree from a piece of bark "the size of a finger", Wiltschko said. A spectrometer analysed the sample, its AI reconstructed the chemical formula and the scent was reproduced in its laboratory. BioHarvest Sciences says it has created a stable cell culture from an endangered south-east Asian fragrance plant, allowing its valuable compounds to be produced without cultivating or harvesting the original plant. The plant has not been named for commercial reasons but BioHarvest has announced an agreement anticipating production of 20 tonnes of the fragrance composition, with limited production potentially beginning next year. "The challenge is that human demand can be effectively unlimited while biological supply is not," said BioHarvest's chief executive, Zaki Rakib. "We believe biotechnology can help close that gap, not by replacing nature but by allowing us to use what nature has given us without continually putting the source under pressure." But conservationists and perfumers say such claims risk giving advances in fragrance technology an environmental gloss they have not yet earned. "Calling this conservation is greenwashing," said Mandy Aftel, the pioneering natural perfumer, author and founder of the Aftel Archive of Curious Scents. "Making a synthetic version of an endangered plant's smell doesn't save the plant." She said producing a substitute did not stop people buying the original - or address other causes of a species' decline. Rhian Smith, of the Royal Botanic Gardens, Kew, agreed. She pointed to the Aquilaria tree. AI could help design an alternative to oudh, she said, but wild-sourced material remained highly prized. "It doesn't completely take the pressure off wild plant species," she said. There is also the question of motivation. Wiltschko admitted that conservation was not "an explicit priority" for Osmo's work. Synthetic perfume itself is nothing new: the industry has relied heavily on synthetic ingredients for more than a century, and machines have long been able to identify molecules in a scent. "What's changed is what happens after the data comes off the machine," Wiltschko said. "What's new is prediction." He claimed Osmo had trained its AI on more than 5m human responses to smells. "That means it can predict how combinations of molecules will be perceived," he said. Elsewhere, AI is claimed to be changing the whole world in which perfumers work. Christina Agapakis is not a perfumer, but her work reconstructing genes from preserved flowers has produced fragrance compounds that perfumers can use to create new scents. Another perfumer, Future Society, has gone into the clouds, making two flights in a small plane to collect living microbes. Thirteen were identified, producing 57 scent molecules, which became the starting point for Cloud Reverie, a perfume launched this year. Even AI has its limits: a flower's scent can contain hundreds of molecules and change according to which part of the plant they come from and the conditions in which it grows. It is still not enough for the purists. "The smell we got was this ghostly fragment of what had been lost," Agapakis said of her project. She could not recreate the living organism, or the soil, climate, season and ecology that produced its scent, she said. "What we have to remember is, ultimately, however powerful AI is, a smell is not simply a formula or dataset."

Frontrun
Aug 5th, 2026
Sapiom raised a $35M Series A, Osmo raised a $5M seed. we flagged both first.

Sapiom raised a $35M Series A, Osmo raised a $5M seed. Frontrun flagged both first. tl;dr: Sapiom raised a $35M Series A led by Dragonfly with Accel, Anthropic and others. Osmo raised a $5M seed led by Bain Capital Ventures. both announced august 5 2026. frontrun flagged them 180 days and 54 days before the news, and in both cases the follow graph was moving long before the announcement. who led Sapiom's $35M Series A? Sapiom raised $35M, led by Dragonfly with Accel, Anthropic and others, to "unlock the next trillion agents." the first thing they're tackling is cost, with three new products launching at sapiom.ai. founder: Ilan Zerbib. worth noting who's on that cap table: a frontier lab (Anthropic), a top crypto fund (Dragonfly), and a top generalist fund (Accel), all converging on infrastructure for paying agents. who led Osmo's $5M seed? co-founder Will Hoppin left A24 to build it: a storytelling studio with a software factory, launching publicly today as an end-to-end editable video platform that turns Figma, code, and reference videos into fully editable motion. Sapiom: flagged february 6, announced august 5. 180 days. Frontrun flagged @sapiom at 677 followers, six months before the round. it's still under 1,000 followers today. 43 tracked accounts followed between the flag and the announcement: a steady accumulation starting in late february, another wave in may, and a spike on announcement day. by the time the news broke, the signal was 6 months old. Osmo: flagged june 12, announced august 5. 54 days. Osmo entered the graph on june 12 off a single tracked follow, back when almost nobody was watching the account. 15 tracked accounts followed in the 54 days between the flag and the announcement, with a cluster landing on announcement day itself. Frontrun published Sapiom in a list 61 days ago. the flag wasn't sitting in a private database. on june 5 Frontrun featured Sapiom in its AI companies under 1,000 followers article, two months before the Series A: anyone reading that list had 61 days to reach out before Dragonfly, Accel, and Anthropic made it a headline. both receipts today are the same shape. tracked accounts started accumulating on the company months (Sapiom) or weeks (Osmo) before the round was announced. the announcement-day spike came last, after the signal had been sitting there the whole time. that's the entire thesis of the product: the people closest to a deal follow the company before anyone talks about it. track the follows and you're reading the round before it's news. both raises clear its receipt ledger's 7-day minimum lead with room to spare, so they'll join the permanent record with their flag dates. these two already raised. the useful list is the one where the round hasn't happened yet. frontrun watches the follow graphs of 2,000+ tracked venture investors on X and flags the companies they converge on, with a date, the morning it happens. see the signal this article is built on frontrun tracks the follow graphs of 2,000+ venture investors and flags companies months before rounds are announced. companies and founders surfaced on frontrun. curated, every week.

Business Wire
Jun 16th, 2026
Osmo auctions 10 AI-developed fragrance molecules in industry-first sale

Osmo, an olfactory technology company, is launching the first-ever auction of fragrance captives, offering exclusive, perpetual licences to 10 proprietary molecules developed through its AI platform. The auction, beginning 23 June at the World Perfumery Congress in Monterey, California, marks a departure from traditional closed ingredient development. Osmo's Olfactory Intelligence platform uses AI to screen billions of potential molecules, predicting smell, intensity and safety before physical creation. The company claims 10 times higher success rates and five to ten times greater cost efficiency than traditional methods, having built a pipeline of 43 molecules in under three years. The auction is open to fragrance houses, consumer goods companies and chemical manufacturers. Last year, Osmo filed more fragrance ingredient patents than the rest of the industry combined.

BizWorld Ireland
May 31st, 2026
Osmo expands operations with new Elizabeth manufacturing hub for scent technology.

Osmo expands operations with new Elizabeth manufacturing hub for scent technology. May 31, 2026 By jan Osmo, a leading olfactory technology company, has opened a new combined headquarters and manufacturing facility in Elizabeth, New Jersey, signaling major growth in the nascent digital scent industry. The expansion positions the company to scale production of its artificial intelligence-powered scent molecules as demand increases from consumer goods manufacturers seeking innovative fragrance solutions. The Elizabeth location represents a strategic investment in manufacturing infrastructure for a company pioneering the digitization of smell. Unlike traditional fragrance development, which relies on time-intensive trial-and-error methods, Osmo employs machine learning algorithms to predict molecular structures that produce specific scent profiles. This technology-driven approach can reduce fragrance development timelines from months to weeks while creating novel aroma compounds impossible to source naturally. Industry analysts project the global flavor and fragrance market will reach approximately $32.8 billion by 2028, growing at a compound annual rate of 4.3 percent. Within this expanding sector, computational fragrance design represents an emerging category attracting significant venture capital investment. The National Science Foundation has identified olfactory digitization as a frontier research area with applications spanning food science, cosmetics, environmental monitoring, and medical diagnostics. The New Jersey facility provides Osmo with proximity to the pharmaceutical and chemical manufacturing corridor that stretches through the Garden State. Elizabeth specifically offers logistical advantages including access to Port Newark, major interstate highways, and Newark Liberty International Airport, facilitating both raw material sourcing and product distribution. The location also places the company within commuting distance of New York City's deep talent pool in chemistry, data science, and business development. Osmo's technology platform builds upon advances in computational chemistry and neural networks. The company maintains a proprietary database cataloging the molecular structures of thousands of aroma compounds alongside human perception data describing how these molecules smell. Machine learning models trained on this dataset can propose new molecular candidates likely to produce desired scent characteristics, which chemists then synthesize and validate through sensory testing. The manufacturing component of the Elizabeth facility enables Osmo to produce these designed molecules at commercial scale. Traditional fine chemical synthesis requires specialized equipment and expertise, particularly for novel compounds without established production methods. By integrating research, development, and manufacturing operations under one roof, the company can accelerate the pathway from computational design to market-ready ingredients. Commercial applications for precision-designed scent molecules span multiple industries. Consumer product companies seek signature fragrances that differentiate their brands while meeting sustainability goals, as computationally designed molecules can replace ingredients derived from endangered plant species or resource-intensive agricultural processes. The Environmental Protection Agency has established guidelines encouraging safer chemical alternatives, creating regulatory incentives for synthetically designed fragrance compounds with reduced environmental impact. The facility expansion also supports Osmo's research into scent-based sensing technologies. Digital olfaction systems capable of detecting and identifying airborne chemicals have potential applications in quality control, safety monitoring, and disease detection. Medical researchers have documented that certain diseases produce distinctive volatile organic compound signatures detectable through advanced chemical analysis, suggesting future diagnostic applications. The Elizabeth headquarters marks a transition point for Osmo from research-focused startup to scaled manufacturer. The company joins a growing ecosystem of biotechnology and specialty chemical firms applying artificial intelligence to molecular design challenges. As computational tools become more sophisticated and chemical synthesis capabilities advance, the fragrance industry faces potential disruption from technology-first entrants capable of designing molecules with unprecedented precision and speed.

Perfumer & Flavorist
May 14th, 2026
Sneak peek: Osmo opens ai-powered fragrance manufacturing hub in New Jersey as it expands full-service scent platform.

Sneak peek: Osmo opens ai-powered fragrance manufacturing hub in New Jersey as it expands full-service scent platform. May 14th, 2026 Osmo has opened a 60,000-square-foot manufacturing facility in Elizabeth, New Jersey, marking a significant expansion of the company's ambitions to position itself as a vertically integrated fragrance partner powered by artificial intelligence and advanced olfactory technology. Osmo has opened a 60,000-square-foot manufacturing facility in Elizabeth, New Jersey, marking a significant expansion of the company's ambitions to position itself as a vertically integrated fragrance partner powered by artificial intelligence and advanced olfactory technology. A recent post from the company offered a peek inside: The new site will serve both as Osmo's headquarters and as the primary commercialization hub for its proprietary Olfactory Intelligence platform, an AI-driven system designed to support fragrance formulation, development and manufacturing. The move signals the company's transition from technology innovator to scaled production partner capable of supporting fragrance creation and fulfillment across the full product lifecycle. According to the company, the facility will enable Osmo to provide end-to-end services spanning custom fragrance formulation, manufacturing, bottling and packaging, with a model designed to support both emerging brands and multinational consumer packaged goods companies. The company emphasized that its vertically integrated structure and flexible minimum order quantities are intended to lower barriers to fragrance development while accelerating speed-to-market. "We're democratizing access and unlocking a new world of fragrance for brands of all sizes, and this facility will expand that potential exponentially," said Alex Wiltschko. He added that New Jersey was selected because of its manufacturing legacy and strategic potential as a center for AI-driven industrial growth and workforce development. The opening reflects a broader evolution underway in the fragrance sector, where artificial intelligence is increasingly moving beyond formulation assistance into manufacturing optimization, supply chain coordination and molecule discovery. Osmo's model combines robotics, fragrance development and machine learning infrastructure within a single operational platform, positioning the company at the intersection of digital olfaction and scalable production. Mateusz Brzuchacz said the facility is designed to support both enterprise-level and emerging customers with differentiated production capabilities. For large multinational partners, the company says it can reduce fragrance costs, shorten development timelines and enable access to proprietary molecules. For smaller brands, the platform offers lower entry thresholds alongside guidance from professional perfumers and integrated production support. Osmo also noted that the facility will contribute to regional manufacturing activity through partnerships with domestic suppliers specializing in filling, secondary packaging and logistics. The company stated that the site's expansion into large-scale production is expected to create additional high-skilled jobs in the Elizabeth area. To commemorate the launch, Osmo hosted a ribbon-cutting event attended by New Jersey chief operating officer Kellie Doucette, Elizabeth mayor J. Christian Bollwage and members of the company's executive leadership team. Demonstrations during the event highlighted how the company's Olfactory Intelligence platform is applied in fragrance design and production workflows. The facility opening follows a period of accelerated growth for Osmo. In February, the company announced an expanded executive team and the close of its Series B financing round led by Two Sigma Ventures, bringing total capital raised to $130 million. For fragrance industry observers, the development represents another sign that AI-enabled olfaction is rapidly shifting from experimental research into commercially scaled infrastructure, with implications not only for formulation workflows, but for how fragrance manufacturing itself may be structured in the years ahead.